Untitled Kingdom development company [Review]

We had a chance to interview the executives of Untitled Kingdom.

The company CEO, Matthew Luzia, shared his thoughts on how they made their big decision to go for an IPO.

Luzia said: “It was a strategic and calculated decision. The board and investors felt we had the best prospects and the strength to be competitive in this global market.”

The company president and chief technology officer, Jamal

Untitled Kingdom is a software development company that specializes in creating social networks. The company’s latest project is called “Hello, My Name is” where you can name your identity so it shows up on social networks. The company has 4-years of experience in building custom software for social media businesses.

⁣⁣Digital Product Design & Development

Can you put into words how it feels to have a fulfilling life?

Untitled Kingdom can help.

⁣At Untitled Kingdom, we are committed to your success by providing an environment for you to thrive.

⁣We know that sometimes the pressures of this career are too much to handle on our own, so we created a program of activities that will increase your mental and physical well-being.

10 Social Networks for Developers [+1 Bonus]

Though the stereotipical developer might be a socially awkward geek, developers are among the most active users of social networks. They usually prefer sites that are community-driven and focus on quality content. Social networks are a great place for developers to learn from colleages, contact clients, find solution to problems and resources, and improve their own skills.

In this post we compiled 10 of the most used and useful social networks for developers. There are other lots of other great ones out there, so feel free to share your favorites in the comment section.

HTML5 Rocks

HTML5 Rocks is an open source project from Google. It is a site for developers dedicated to HTML5 where they can find resources, tutorials and demonstrations of the technology. Anyone can become a contributor of the community. 

HTML5 Rocks


GitHub is a web-based hosting service for software development projects. Originally born as a project to simplify sharing code, GitHub has grown into the largest code host in the world. GitHub offers both commercial plans and free accounts for open source projects. 

Here is GitHub


Geekli.st is an achievement-based social portfolio builder for developers where they can communicate with colleagues and employers and build credibility in the workplace. 

Go to Geeklist 


Snipplr was designed to solve the problem of having too many random bits of code and HTML scattered all over computers. Basically it’s a place to keep code snippets stored in one place for a better organization and access to them. Also, user’s can access each others’ code librarys. It allows its users to make their code accessible from any aomputer and easier to share. 



Masterbranch is a site for developers and employers. Developers can create their coding profile, and employers who are looking for great developers can find candidates for available positions. 



Stack Overflow is a free programming Q & A site. Stack Overflow is collaboratively built and maintained by its members. 


… and one bonus

DEV Community

DEV Community – A constructive and inclusive social network for software developers. With you every step of your journey.

DEV Community

Java Developer Roles and Responsibilities

Thinking about creating your project with Java? Find out what are Java developer job duties, roles, and responsibilities according to the job description first. This article is going to help.

Considering the Options to Hire This Specialist in 2021

Java development is a good choice when it comes to web project creation. This programming language is quite user-friendly while there are a lot of professionals on the market who may create a stable and secure web app for your business. However, let’s find out what are Java developer job duties and how to hire these specialists in the most beneficial way.

Who Is a Java Developer?

A Java developer is a specialist whose main specialization is Java web programming. To date, Java is one of the most popular programming languages and there are 7,1 million Java developers in the world. Thus, there is a perfect match between their supply and demand. What’s more, most of these specialists are working according to the web development outsourcing model we will discuss a little later.

What Are Java Developer Roles and Responsibilities?

As a rule, Java programming is the top duty among Java developer roles and responsibilities. However, depending on the specifics of the project, this specialist may be involved in dealing with further tasks.

  • Business needs analysis. At this stage of project development, a Java developer works closely with the Business Analyst since the first needs to gain business-specific insights of what needs to be created and how the customer imagines the problem-solving approach.
  • Code writing, testing, and deployment. Everything is quite clear with code writing. When it comes to its testing, an Entry-level Java developer works with the QA (Quality Assurance) and testing team, gets their feedback on the bugs that need to be fixed, and proceeds to code deployment when all the mistakes are corrected. Also, a lot of companies follow DevOps practices to shorten the distance between the development and operational teams and streamline the project launch.
  • Project management. As it was with the case of business analysis, a Java developer may take some part in the project management process to keep up to date with the changing requirements of the customer, deadlines, and feedback.
  • System maintenance and optimization. Also, the Java developer may be involved in the app’s maintenance and optimization after the solution is launched and there is the first feedback from real users.

Why Does Your Business Need Java Developers?

There are a lot of Java developers advantages you may consider for your project development. As you have already understood, there are a lot of Java developer roles and responsibilities he/she may perform at each stage of your app creation. Secondly, you may hire this specialist very profitably, for example, by contacting SPD-Group development company which has a tech-savvy Java developers team under their roof.

Also, there are a lot of Java developers in the world you may choose from. The choice is this specialist is more than wide so you shouldn’t be limited by your location only. All the other benefits are centered around Java technology as such.

  • Java is the second popular programming language in the world and this is quite a strong reason to consider the tool for your project development.
  • Java allows for customer-centric application creation that will be easy to maintain and improve.
  • Java makes the development of stable and secure applications possible as well.

Outsourcing vs in-House: What Is the Best for Software Development?

So, if there is the need to hire Java developers for your project creation, you have two options to choose from – you may either outsource your web development tasks to the third-party vendor or gather the development team under your roof. Both of the approaches have their pros and cons, so, let’s find them out.


In this case, you should find a development company that already has a team of Java programmers or a full-fledged development team (a project manager, testers, designers, business analysts, researchers, and marketers) and entrust your whole development process to the third-party’s team.


  • You may choose from the widest talent pool possible. When outsourcing your web development, you are not limited to your physical location anymore.
  • Outsourcing is up to 60% more effective in terms of costs if to compare it with gathering an in-house team.
  • Outsourcing your web development task, you don’t need to worry about organization issues since they are solved on the side of the vendor.


  • Outsourcing means less control compared to having your development team in-house. However, this issue can easily be solved by an experienced development vendor who is able to establish effective communication.
  • There can be mentality gaps, different time zones and language barriers. However, this problem can also easily be solved by choosing the right outsourcing destination with similar mentality features and convenient business hours overlappings.

In-house development

In this case, you are responsible for gathering your development team in your office, supplying them with all the necessary equipment, paying wages and taxes, and so on. This project development approach seems to be more transparent, however, it portends a lot of work to be done.


  • You get absolute control over your team. Thus, you may be sure that your team is involved in your project development only, and you may check their progress and results every time you want to.


  • Developing your project in-house can be quite costly since you need to pay for rent, licenses, and equipment.
  • Hiring and gathering your development team can be time-consuming. What’s more, without recruitment skills, finding the right person may be challenging, and there is a great risk of making a mistake with a team member who will need to be replaced very soon.

Thus, outsourcing your project development seems to be a better strategy since it saves your time, money, and effort. What’s more, this practice is widely adopted and there are a lot of reliable development vendors to choose from.

According to An Exploratory Study on Strategic Software Development Outsourcing(PDF), “Business organizations are realizing that Software Development Outsourcing (SDO) is now an imperative and strategic step for their system operation success and that SDO really means best practice.”

Thus, the only thing remaining is to get in touch with an experienced and tech-savvy development company to make your project creation really effective and get all the benefits of the outsourcing model.

How Much Does It Cost to Hire Java Developers?

There are two essential factors that influence the cost of hiring Java developers:

  • Their location. The difference in cost can be tenfold – for example, if you compare Java developers from the top American companies and Indian programmers who will work with you remotely.
  • The amount of work you want to assign to them and describe in your Java developer job description. The more time it takes Java developers to create the functionality necessary for the full operation of your application, the higher the price will be in the end.

What Are the Best Regions Where You Can Hire Java Developers?

There are four main regions you may consider for getting in touch with highly-skilled Java developers.

Popular Outsourcing Destinations
  • Ukraine. Ukraine is the main outsourcing destination in Eastern Europe since there is no better price-quality ratio in this region. Also, Ukrainian programmers have a high technical education which allows them to stay competitive year after year. As for the prices, the cost per hour of development is $20-50.
  • Poland. Poland is a slightly more expensive destination in comparison with Ukraine, but the difference is compensated by a more European mentality. As for the level of training of specialists, Ukraine wins anyway.
  • Argentina. As for this destination, it is especially attractive for American startups because here you may hire quite an affordable workforce, plus there is a convenient business hour overlapping. Also, there is no language barrier but can be some striking differences in mentality.
  • India. As for India, this is the best destination in terms of cost. Also, there are a lot of developers to choose from. So, this country is good to outsource to if you want to start your project development almost instantly and save a lot. However, you still need to be careful with Indian development vendors’ choices; (Boeing may share some experience).

Read more about Offshore Software Development here.


So, using Java for your project development is quite a wise solution. Surely, you should analyze the specifics of your future solution before deciding on the technology choice. However, if you decide to proceed with Java, there will be no issues with Java developers hiring. What’s more, the cost to involve these specialists in your project is also quite responsible and affordable, especially if you choose the right outsourcing destination.

Hire ERP Developers | PHP/Java/Python

Hire ERP Developers with Expertise in Various ERP Systems

An ERP system is a business software that integrates all facets of a business, which are operational, financial and planning. Thus, ERP systems are the backbone of every industry.

The hiring process for an ERP developer goes much deeper than just asking them about their coding skills. A recruiter should ask about the candidate’s technical expertise in various ERP systems before hiring them.


Odoo software was founded in 2005 and is a company that specializes in creating business management systems.

Odoo Enterprise resource planning software provides a way to manage your entire business from sales to accounting, from payroll to project management.

This is done with the help of an integrated suite of applications that can be accessed on any device. These apps are meant for different workflows and the solutions are customizable, with over one thousand modules available for deployment.


SAP is one of the most popular ERP vendors in the world. SAP Enterprise resource planning is an integrated software suite that helps in various functional areas such as material management, quality, and financials.

Some of the features of SAP ERP include:

  • Process modeling and optimization:
  • Precision planning:
  • Production and inventory management:
  • Sales order processing:
  • Accounting with financial statement preparation:
  • Warehouse management:
  • Project system with project planning and control tools

Microsoft Dynamics

Dynamics ERP is a broad range of business management software for both small and large companies. Dynamics solutions help organizations to manage their operations, from customer engagement to supply chain.

It is a set of applications that can be used on-premise or in the cloud. It includes Microsoft Dynamics NAV, Microsoft Dynamics GP, Microsoft Dynamics SL, and Microsoft Dynamics 365 which can be bought separately or together as part of a suite.

Microsoft has been producing ERP software since the 1990s when they introduced their first product named Great Plains called “Microsoft Great Plains.”

Oracle ERP

Epicor ERP Systems

Epicor is a software company that develops enterprise resource planning (ERP) and other business management software for mid-size and large organizations.

The Epicor ERP software offers support for the entire life cycle of the product, from sourcing raw materials to managing finished goods inventory, to marketing and selling products to customers, to delivering products or services. Unlike other ERP systems, Epicor’s “integrated manufacturing execution system” (iMES) includes features such as production planning optimization (PPO), which creates schedules for making products based on the availability of materials and other resources at a given time.

Why Should You Hire ERP Developer?

Companies and organizations use ERP systems to streamline and automate their day-to-day business processes. The ERP system is the keystone of any organization.

ERP Developer:

The developer is the person who creates the software that runs an ERP system. The main skill that they need is to be able to write code, or create logic for a program. They need to be able to understand all the different components of an ERP system, and how they work together.

An ERP developer may work with:

  • Outsourced developers: These developers may live in another country and work remotely. They may also work with clients in other countries as well as with companies in their own country;
  • In-house Developers: These developers work for one company.

For any company to achieve its goals, it will need to be able to track its resources. That is where ERP comes in. ERP is an acronym that stands for Enterprise Resource Planning. This type of software is designed for the purpose of managing the company’s day-to-day activities. It can help with inventory management, financial management, production planning and much more.

Some of the benefits that come with using this software are reduced costs and increased profits as well as reduced risk as a business owner or manager as you will be able to have all your data at your fingertips.

  • Low, all-inclusive cost
  • Reduced office expenses
  • Tax-free, insurance-free
  • Involvement in developer selection
  • Full control over your project
  • Scaling in a breeze

ERP Development Team to Hire

Hiring the best ERP development team for your company is not an easy task. There are several factors that are important in this process – experience, skillset, price, and more.

ERP development teams can be hired from freelancers to full-time employees. These technical professionals come with different levels of experience and expertise. When hiring them, it is necessary to take into account the size of the project and the timeline for completion.

ERP Programmer CV Samples

The ERP Programmer CV Samples is designed to demonstrate the knowledge and skills that an applicant would need in order to be successful in the role of ERP Programmer.

The following pages contain samples of CVs for applicants who are currently looking for work. The templates are designed with the intention of providing an easy-to-follow guide to how your CV might look when you apply for a job as an ERP Programmer.

These templates provide examples of what information you might include in your CV, as well as what formatting styles are most appropriate.

ERP Developer for Hire Salary Comparison

This article provides data on the salaries of an ERP Developer for Hire. It also includes the average salaries of other jobs in the same field. It has the salary comparison of different industries, like industrial, service, and retail, which might be helpful to people who are looking for jobs.

ERP Developer Salaries for Different Industries

Industry Average Salary Average Years of Experience Industry-wide Salaries

Industry Average Salary (Years) ERP Developer (Years) Industrial $85,000 (5) $92,000 (4) Service $75,000 (3) $92,000 (4) Retail $68,000 (2) $92,000 (4)

How to Boost Your Productivity Using AI

What is AI?

Technology has had a huge impact on our society and the way we do things. It has also improved how machines work and the services they offer through Artificial Intelligence (AI). Generally, AI describes a task that is performed by a machine that would previously require human intelligence. 

AI is defined as machines that respond to stimulation that is consistent with traditional responses from humans. AI makes it possible for machines to learn from experience and adjust to new inputs. That is possible since it uses technology that uses a large amount of data and recognizes data patterns.

Give A.I. Long Boring Jobs

Though some believe AI will take over their jobs, some are happy with this technology in the workplace. The reason being AI helps in creating a more diverse work environment, and it will do long, boring, and dangerous jobs. Thus, this will give humans ample time to continue being humans.

The use of AI has a huge impact in various sectors from healthcare, education, manufacturing, politics, and many more. Since AI can infiltrate almost any industry, it should be trained to handle boring tasks. By doing this, humans will be in a position to handle higher-level tasks.

Tools for Better Productivity on an AI Basis

AI machines are known to offer efficiency and can be used by businesses to improve efficiency. But for the tools to work, people need to learn how to make use of the AI Learning tools to improve performance. Learn about the tools that can save time and help to increase productivity.

  • Neptune: This is a lightweight but powerful metadata store for MLOps. The tools give you a centralized location you can use to display your metadata. By doing so, you can easily track the learning experience and results of your machine. The tool is flexible, and it is easy for you to integrate it with other machine learning frameworks.
  • Scikit-Learn: This is an open library source with a wide collection of tools to build machine learning models and solve statistical modeling problems. Using this tool will be easy for you to train your database on any desired algorithm. Thus, this will save you from the frustration of building your model from scratch.
  • Tensor flow: With this tool, you can build, train, and deploy models fast and easily. It comes with a comprehensive collection of tools and resources that can build ML-powered addition, their applications. This tool will be easy for you to build and deploy deep learning models in different environments.

Audio To Text Converter That Will Help You Work Faster

Transcribing audios can be a tedious task in your workplace. But with AI, that does not have to be the case. As long as you select the right tools, they will convert your audio to text and save you the time you used to do it manually. Here is a look at some tools you can use.

Audext.com: This is web software that you can use to transcribe your videos automatically. Audext is affordable and fast. Some features you will get when you use this software are:

  • Speaker Identification
  • Built-in editor
  • Various audio formats
  • Timestamps
  • Voice recognition

Descript.com: The software will offer you accuracy as well as perfect transcription each time. The system will keep your data safe and private. Some features you will get when you use this software are:

  • Sync files stored in the cloud
  • Can add speaker labels and timestamp
  • Import already done transcription for no charges 

Otter.ai: With this software, you can record audio from your phone or browser and then get it to convert it then and there. With otter, you will get automatic transcription, and it is easy for you to group and add members to it. Some features you will get from this software are:

  • Searching and jumping to the keywords within the transcript
  • Can speed up, slow down, or jump the audio
  • Can train the software to recognize certain voices for fast referencing in the feature

Future of AI

AI is working all around us by impacting how we live our lives, search engines, and dating prospects. It is hard to imagine AI getting any better. According to research, Ai will continue to drive massive innovation that will help in fueling many industries. In addition, it will have the potential to create many new sectors for growth. Thus, this will lead to the creation of more jobs.


Whether we fight it or not, AI is here to stay. For that reason, companies and industries should stop fighting this technology and start embracing it. The best way of doing this is by being aware of it and adapting it to the new technology.

Alternative names for Minimum Viable Product

What is MVP?


A minimum viable product is an early release of a product that provides enough functionality to satisfy early adopters. It is the first stage of the product development cycle including the result of applying an iterative development approach. The goal of a MVP is to search for product-market fit.


3 Amazing Useages of an Alternative Minimum Viable Product

1. Living MVP

This version of a MVP is the most basic. It is still in active development, but it is also in a fully functional state. The goal of a living MVP is to promote user feedback and create rapid changes, which can be used in future updates.

Many entrepreneurs feel the need to release a product as soon as possible. But today’s consumers don’t want to use an unfinished product or service. In fact, they may not even recognize it as a potential solution for their needs because it doesn’t have all the features they’re looking for.

This is why entrepreneurs should focus on creating a viable minimum viable product (MVP). A living MVP is a version of a MVP that is still in active development but that is also fully functional. This way, your customers can use your app and provide you with feedback from the ground level to help you improve your final product.

2. Mini MVP

A Mini is a product with a limited scope for testing before going into production with a full scope release product or service.

Mini MVP is a product with a limited scope for testing before going into production with a full scope release product.

This is to ensure that the best features are built, which will bring maximum value to the customer. The features that are not fully fleshed out or tested are pushed to be back-burnered in order to ensure that the best features are built to provide maximum value to the customer.

This type of prototype helps to identify potential flaws and optimize designs before committing to major design changes or implementing more specific features that will not be finalized until later on in the project timeline.

3. Artisanal MVP

These products are created without many resources such as capital, time, and staff members for the sole purpose of having something tangible to present to potential investors or customers during fundraising rounds or sales pitches meetings.

A successful MVP is a product that has just enough features to be valuable to the customer. It is not necessary to have all the features in place. You can have an MVP with just one or two features, but they need to be valuable.

Most of the time, startups are able to launch an MVP for free because they are creating it themselves. However, when you pay someone else to develop your product, the costs will vary depending on how much they are charging per hour or project.

How to find developers to build own MVP?

A potential problem is that we can’t just go to a developer and say “hey, I want you to build me this product”. This approach won’t work because developers want to know what the idea is, and why it’s valuable.

The best way to find a developer for your MVP project is by using freelancing marketplaces like Upwork or Guru. These sites let you post your job and see projects people are willing to do.

Most Popular Source Code Hosting Services in 2021

Nowadays, there are a lot of source code hosting services to choose from — all having their pros and cons. The challenge, however, is to pick the one that will fit your needs best because the price is not the only factor that should be considered.

In this article, we’ll take a look at the key features of the most popular source code hosting facilities to help you make a wise decision. But first let’s take a brief look at what source code hosting service is because, as we see, there are some confusion about this term.

What is a source-code Hosting Service?

In short, source code hosting services or simply source code managers (SCM) are the services for projects that use different version-control systems (VCS). The latter ones are also sometimes referred to as “version control tools”.

Basically, a VCS is software and, in general, its main task is to allow programmers to track the revisions of a code in course of software development. Such revisions may be shared among all the team members so everyone can see who made a particular change and when. The list of the most popular version control tools includes Git, Mercurial, and Subversion.

At the same time, a source code manager is not software, it’s service. To put it more simply, it’s a space to upload copies of source code repositories (i.e. storage location for one project). Unlike version control systems which are just command lines, source code hosting service provides a graphical interface.

Without a source code manager, the work on a software development project would be difficult if possible at all.


The choice of SCM is not accidental. Because if you ever ask someone what is a source code hosting service, Github will probably be the first thing they’ll start talking about. And it’s no wonder: it is ranked No.38, according to the Moz’s list of the top 500 websites.

Here are the key benefits of GitHub:

  • free for open-source projects
  • contains wiki, a platform for sharing hosting documentation
  • has an integrated issues tracking system
  • makes it possible to receive and issue contributions to projects   
  • has a well-developed help section with guides and articles
  • has gists, a service for turning files into git repositories
  • has GitHub pages that host static websites
  • allows for convenient code review  (in-context comments, review requests etc.)
  • has embedded project management features (task boards, milestones etc.)
  • offers team management tools (integration with Asana)

The above list contains only the most essential advantages of GitHub for you to understand why this source code hosting service is so popular among programmers. Yet, there is a risk that the great era of GitHub will soon come to its end. In October 2018, it was acquired by Microsoft and this raised some concerns among developers. But we’ll see.


  • free – for open-source projects
  • $7 per month – for individual developers
  • $9 per user/month – for teams
  • $21 per user/month – for businesses (either business cloud or installed on a server)


GitLab is also one of the handiest source code hosting services. As of today, it has fewer users than GitHub but does its best to conquer developers’ hearts. If you’ve ever used each of these host platforms for code repositories, you might have noticed that GitLab looks and feels like GitHub in many aspects. Yet, it also has some features the latter is lacking, so we may not say that GitLab significantly lags behind it in terms of functionality.

Speaking about main GitLab advantages, they are the following:

  • an open-source software
  • can be installed on your server
  • contains wiki and issue tracking functionality
  • has a user-friendly interface
  • has integrated CI/CD
  • comes with a deployment platform (Kubernetes)
  • allows for exporting projects to other systems
  • convenient for Scrum teams since it provides burndown charts as a part of milestones and allows teams to manage issues using Agile practices
  • has time-tracking features

It’s worth mentioning that GitLab also offers a convenient and easy migration from GitHub. So if you’re among those who feel uncomfortable about Microsoft’s acquisition of GitHub, GitLab would be the best option for you.


  • Free – for open-source projects, private projects
  • $4 per user/month – Bronze plan
  • $19 per user/month – Silver plan
  • $99 per user/month – Gold plan


BitBucket is also a widely-used source code management tool and it’s a common second choice of many programmers (after GitHub). There are currently two versions of BitBucket: a cloud version hosted by Atlassian and a server version.

The main benefits of BitBucket are:

  • free private source code repositories (up to 5 users)
  • supports both Git and Mercurial (unlike GitHub and GitLab that can host only Git projects)
  • integrates with Jira and other popular Atlassian tools
  • allows for convenient code review (inline comments, pull requests)
  • advanced semantic search
  • supports Git Large File Storage (LFS)
  • has integrated CI/CD, wikis and issue tracking (only cloud versions)
  • offers team management tools (embedded Trello boards)

On top of this, BitBucket allows for external authentication with Facebook, Google and Twitter which makes this source code hosting service even more convenient for developers. It’s not as similar to GitHub as GitLab, but you can also easily migrate from GitHub to BitBucket.


  • Free – for small teams (up to 5 users)
  • $2 per user/month – for growing teams (starts at $10)
  • $5 per user/month – for large teams (starts at $25)


SourceForge is one of the most well-known free host platforms for code repositories. It works only for open-source software development projects, but we could not ignore it in this article because SourceForge was of the first tools of this kind. Actually, before GitHub was even “born”,  SourceForge already topped the market.

Why you may want to choose SourceForge for your project? Well, here are its main strengths:

  • free for open-source projects
  • supports Git, Mercurial, and Subversion
  • offers the issue tracking functionality
  • offers an easy download of project packages
  • allows for hosting of both — static and dynamic pages
  • Has a huge directory of open-source projects
  • does not restrict the number of individual projects

The main downside of SourceForge is that it’s not very flexible and can be used only for open-source projects. So when it comes to the private app or web development, this source code manager is usually not even on the list.

Prices: the service is Free.


In this source code management tools comparison, we outlined most widely used or promising services. Of course, there are a lot of other similar solutions which you may also consider for your app or web development project. But if you don’t have time for deep research, as professional software developers, we may recommend Github or Gitlab vs Git. These platforms are considered the best code hosting services since they are quite versatile and can satisfy a wide range of programming needs.

What is Green Software Development?

  • Green Software Definition
  • Does the Green Software really exist?
  • And if so, what it does or how it does things?
  • Where’s real green projects separated from rumors and hype?

In the definition for Green Software is introduced as “Computer software that can be developed and used efficiently and effectively with minimal or no impact to the environment”.

Despite the fact that big software vendors are often scrutinized in respect to their environmental impact and we are not an exception having thousands of software developers and offices around the globe, we’re still sure that.

Green software  – the definition for green software is introduced as “Computer software that can be developed and used efficiently and effectively with minimal or no impact to the environment”.

Real impact comes when software company participates in actual commercial green projects.

Not trying to say that the way software development company “exists” doesn’t matter at all. Of course, it is better when a software developer buys his fast food in paper bags vs plastic or use more whiteboards than flip-charts… but sometimes the list goes too far from what really matters, emphasizing on potential over-use of computational capabilities of the hardware and so on. The development process must be not just lean but also comfortable for the software developer and they should not sacrifice running their unite-tests to questionable environmental impact of it. Instead making quality software that helps protecting the environment – this is where software development companies can make a positive impact.

Here’s few examples of green domains where we’re really busy as a custom software development company:

  • Carbon Emissions Trading. This is very powerful model from the economic standpoint and it requires really efficient software development solutions. Here’s why. Carbon Emissions Trade (also known as cap-and-trade) simply means that those who pollute more pay to those who pollute less. This is huge incentive to companies and governments to invest in CO2 emissions reduction. Now, in order to reduce the emissions without negative impact to the production capabilities, companies need to re-engineer and tune their manufacturing processes. For this to happen they need someone (usually a consultancy firm) who’s gonna be able to measure where are they now and how much do different process components ‘contribute’ to overall volume of emissions; b) model how to improve the process. For different industries number vary but every manufacturing process usually consists of hundreds factors that impact level of emissions to certain extent.

We actually create the software which consultancy firms use to measure and monitor processes to determine the most important factors that needs to be modified. One of the industries we are busily working for is aviation, which has to adapt to ETS regulations on fuel efficiency for flights.

  • Smart Energy. Electric energy is quite specific type of “fuel”. There’s no way of managing it in the ‘off-line’, you can’t preserve it in huge volumes (as you can for oil or natural gas). What needs to be done though is optimization of energy distribution in real time which is not a trivial task per se. Here comes embedded software development in rescue to this problem. That’s huge subject in itself and I think it deserves separate post. Meanwhile, here’s brief overview of what we do in this domain.
  • Consumer Privacy. No mistake. Believe it or not, but consumer privacy has so much to do with environment. And one of the biggest issues is paper junk mail. The average adult receives 41 pounds of junk mail each year. 44% goes to the landfill unopened. So, how can any of us get rid of all this? Not that easy. You actually need to go to each merchant web site, fill in the form and submit it or send them a paper mail (another type of waste) asking them stop sending unsolicited offerings to your mailbox. And we know that everything that takes that much effort doesn’t work for many and people just don’t go all way to get rid of it. But with right technology the process can be automated or at least semi-automated and the consumer can just log on to one system, enter her or his data and the system takes care of unsubscribing the person from all sources required. From the technology standpoint, yes, this is a challenge because system needs to sustain different interfaces and flows for each individual merchant and be flexible enough to adapt for more interfaces as well as catching up with those changing.

Green software really exists and participation in green projects is something software companies should really seriously consider. That is the best way to make an impact.

5 great examples of green software examples in IT

1) Walmart, the world’s biggest retail company, has been applying a variety of digital transformations that help manage wastage and energy usage and improve supply chain efficiency.

Wal-Mart is one of the most successful online retailers in the world. They provide mobile express returns and using their mobile app, you can scan QR codes to pay for items at local retail stores. This saves time for shoppers and helps diminish transport usage and CO2 emissions.

2) Patagonia is a company which can pride itself on being highly sustainable. They have used organic materials, resold outfits and have also been committed to providing organic food.

Moreover, the company offers crowdfunding services for charities and environmental projects. Blog posts can be found on The Cleanest Line about environmental crises and other related issues.

3) Getting closer to the implementation of Mega City of NEOM where every potential technology blends together with the intent to serve humanity.

Taking a sustainable approach to urban planning is becoming more popular and Saudi Arabia has recently announced that they’ll be investing $500 billion into the development of their megacities, while gearing them with renewable energy.

4) Microsoft continues to push the envelope in creating accountability for environmental protection while also providing solutions to companies who deal with green products.

Microsoft has already worked on projects in the past with energy efficiency, but Microsoft’s cloud computing is also making big waves when it comes to sustainability. The increased accessibility of software means that there are less cooling processes & ventilation needed in data centers.

5) Ørsted is a well-known wind technology and bioenergy provider from Denmark. Their decision to unite enables both sides to face environmental challenges more successfully.

Ørsted strives to build a clean energy world where coal and oil-based activities are replaced with clean natural sources. The company is at the forefront of this mission and hopes to be able to implement it by 2025.

These 4 Tips Are Essential For Every Small Business

Running a small business is the best thing for entrepreneurs. It allows them to learn the nitty-gritty of the business world and enables them to learn new things. But it’s not all easy if you are not focusing on the right strategies. 

As a small business owner, you have to find ways to cut your costs and ensure that you are always looking for better opportunities. In this article, we will share with you the four essentials you must adopt as a small business owner – keep reading till the end! 

Outsource Software Development

Outsourcing is one of the most important things for the growth of a business. Gone are the days when you had to rely on In-house teams for doing all the things. Now, you can outsource all the important tasks you want to reliable agencies. 

For example, everyone has to hire software developers for their important business tasks. You can easily hire the services of software development in Ukraine to save your money and get the best services from reliable people. So many businesses from around the world depend on offshore developers to get their websites and apps created at lower costs. 

Think About Money Goals

Making money is the ultimate goal of any business person. If you are not focusing on money and increasing your chances of growth, you will not be able to scale your business. Having clear money goals keeps you motivated and makes you accountable for what you do as a business. 

But going overboard and thinking about money all the time can even hurt your growth. Many businesses get it the wrong way and focus so much on money-making that they lower the quality of their services and products. An actionable solution to this problem is having a clear money goal initially so you don’t get astray during the process. 

Value Your Customers

The most important thing a small business owner has to focus on is their customers. Big companies rule every single industry and attract the most customers because of the value they provide. If you want to attract more customers and cut your competitors’ clients, then the only solution for you is to provide unique value to your customers. 

The more you focus on making things easier for your customers, the more chances you have of client retention. It also allows you to stay ahead of your competitors and enables you to have a loyal audience. 

Having A Unique Plan 

Running a business is not a pipedream, and you don’t think daily about how cool it would be if you had a successful business. On the contrary, running a small business is all about having a unique strategy and focusing on improvement. 

A better option for you as a businessperson is working on a unique plan. A clear plan that’s well laid out allows you to find ways for growth. You get to unearth new strategies by focusing on a plan that’s crafted for your unique needs.

How good is Elixir Performance?

Elixir is a functional, concurrent, general-purpose programming language, which is particularly well suited for concurrent programming and concurrency-intensive applications such as distributed systems, multi-threading, and web server applications.

What is Elixir?

Elixir is a functional, concurrent, general-purpose programming language that runs on the BEAM virtual machine used to implement the Erlang programming language. Elixir builds on top of Erlang and shares the same abstractions for building distributed, fault-tolerant applications. 


Since then, it’s been gaining popularity because it’s highly scalable, reliable, and great for Microservices and Cloud Computing.

Official links:

Pros and Cons of Elixir Programming

Elixir has proven to be extremely fast, scalable, fault-tolerant, and maintainable.


Elixir is one of the best programming languages for high-performance applications. With Elixir developers will get higher productivity with less code. They can write code that is easy to test and also easy to maintain. Elixir is also very scalable and has a built in fault tolerance system for natural disasters or other unforeseen events.


Elixir is still a relatively new programming language compared to other popular programming languages like Java or JavaScript. It may be harder to find someone with experience in Elixir who can help you with your project if you are not self-taught or have not worked extensively on an Elixir project before.

What is the advantage of elixir?


When creating an app that will be used by millions of people worldwide, the capability to run several processes at the same time is crucial. Multiple requests from multiple users have to be handled simultaneously in real-time without any negative effects or slowing down of the application. Because Elixir was created with this type of concurrency in mind, it’s the development language of choice for companies like Pinterest and Moz.


Since Elixir runs on Erlang VM, it is able to run applications on multiple communicating nodes. This makes it easy to create larger web and IoT applications that can be scaled over several different servers. Having multiple virtualized servers over a distributed system also leads to better app performance.

Fault tolerance

One of the features that developers love most about Elixir is its fault tolerance. It provides built-in safety mechanisms that allow the product to work even when something goes wrong. Processes alert a failure to dependent processes, even on other servers, so they can fix the problem immediately.

Ease of use

Elixir is a functional programming language that is easy to read and easy to use. It utilizes simple expressions to transform data in a safe and efficient manner. This is yet another reason that so many developers are currently choosing Elixir and why many programmers are learning the language.

Phoenix framework

Phoenix is the most popular framework for Elixir. It is similar to the way Ruby operates with Rails. The Elixir/Phoenix combination makes it easy for developers who have previously used Rails to learn and use Elixir. Phoenix with Elixir allows real-time processing on the server side with JavaScript on the client side. This helps increase the efficiency and speed of the product and leads to a better overall user experience.

Strong developer community

Although Elixir is quite a young language, it has the time to develop an active user community where even highly qualified engineering are willing to help and share their knowledge. Moreover, there is a lot of help or tutorials easily available for developers working with Elixir.

Elixir vs Competitors

Is Elixir faster than go?

As such, Go produces applications that run much faster than Elixir. As a rule, Go applications will run comparative to Java applications, but with a tiny memory footprint. Elixir, on the other hand, will typically run faster than platforms such as Ruby and Python, but cannot compete with the sheer speed of Go.

Is Elixir better than Python?

Python is much numerically faster than Elixir and Erlang. It is faster as python is using libraries written in native code.

Is Elixir better than Java?

Elixir has two main advantages over Java: You can make highly-concurrent code work in Java, but the code will be a lot nicer in Elixir. Error handling. It’s fairly easy to have a poorly-handled exception cause problems in a much wider area in Java than in Elixir.

Examples: TOP Repositories on Github

  • https://github.com/elixir-lang

To learn more about Elixir, check our getting started guide. We also have online documentation available and a Crash Course for Erlang developers.

TOP 7 Facts About Ukrainian Software Developers

Ukraine is among the countries on the way to being the top software development destination for countries in Europe.  The IT industry generally grows due to the rich technical environment, the pool of expert developers, and high education levels. Through handling many projects globally, the country became renown between the sturdiest IT specialists.

The article highlights what makes the distinct Ukrainian developers have such detailed profiles. Read on for the top facts regarding the talent market for thriving co-operations with the engineers.

1. Overall facts

Many businesses bear in mind Ukraine as the destination for software developers. The country has continually been a top-rated IT outsourcing place. Generally, the developers begin training in the careers at the age between 21-29. The quality assurance engineers on the other end must have an average of 23-29 years. The designers plus front-end software developers remain the youngest while the eldest being project managers, system administrators, and top managers.

Currently, the Ukranian IT industry receives considerable tech graduates. The fact arises from the growing status of IT careers. Also, the number of women within the sector keeps increasing and more continue to gain acceptance in the firms as specialists. The female is known for positions like quality assurance, software development, and PR, HR, and Sales. The cities like Kharkiv, Kyiv, and Lviv have the most significant population of developers.

2. Vibrant Tech Experience

The Ukrainian cities recently have many working in IT outsourcing and IT product firms. The outsourced services mainly drive the growth within the industry. Unlike other European countries, Ukraine is well-known for low living costs, so there are economical software development service rates. The low-grade and high-ranking software engineers have an equal number in the central IT cities. The Ukrainian IT experts with 5 years and more of practice rank as the system administrators and top managers.

3. Career Contentment

From the truth that Ukraine ranks among the top globally advanced economies, without doubts the population cheerfully choose tech careers. Some of the reasons for getting involved in the scene include the passion for technologies, high incomes, and career development. Of course, it gets more obvious software developers are keen on critical aspects when selecting the jobs.

The other thing that makes the industry exciting is the fact that in the end, the specialists get satisfied with the work. The jobs become rightly exciting and will never feel it is boring. The largest population of Ukrainian developers have satisfying salaries and bonuses. Other than just the main task, several developers here operate or have plans of starting personal projects.

4. Work Settings

The other factor that makes work satisfying is Ukraine’s rich tech workspaces and environment. Most IT specialists get fueled by ambient offices as evident in the fast-growing startup community. With a few working remotely, from home, and co-working places, the open offices remain popular. The professionals work for 40 hours every week while senior managers are known as workaholics going for up to 60 hours or more per week.

5. Future Objectives

While some IT specialists plan to have side hustle besides the permanent jobs, many aspire to become seniors or frontrunners in the coming 5 years. Generally, such shared dreams exist amid business analysts, designers, QA engineers, and front-end developers. Also, the non-technical professionals and Project managers (PM) look to be the highest managers.

Still, the Ukrainian IT sector is anticipated to stretch to billions of firms. The local software engineers, therefore, have interests in beginning personal businesses in the coming years. Even with much work and satisfying salaries, other developers plan to relocate and work overseas. Yes, there are high chances of project managers, IT specialists, and QA engineers to look for jobs in distant countries.

6. Education Level

Ukraine boasts of many universities and colleges which produces graduates every year.  Like other countries, valuing innovation students progress locally with degrees in the IT fields. What is more, the total of manufacturing, engineering, and construction advances have equal female and male.

The high education levels make English language skills in the population to give better performance. The persons engaged in the upper, transitional or higher levels are as well good English command, unlike other Ukrainian IT experts.

7. The Ability to Speak in English

Most of Ukraine’s IT outsourcing and software development companies provide English lessons for the employees. On top of the population that devote time to personal studies, the fluency levels increases. The country besides gives many learning opportunities for scholars interested in the futuristic community. The time-honored tech education system ensures the continual entry of the trained experts to the Ukrainian IT industry. In turn, many of the developers plus IT firms get busy in outsourcing services.

Bottom line

Finally, the majority of the Ukrainian IT professionals enjoy the work. The population selects the tech career due to the inborn love for technologies. Even though there are high salaries and bonuses, the primary reason affecting the selection of the company comprises exciting tasks, career growth, and contented work environments.

How does a crypto trading bot work?

In the cryptocurrency market, just like in traditional financial markets, bots – automated trading systems – are actively used. How they work, what are their pros and cons, and why you shouldn’t leave a bot unattended – this is what representatives of 3Commas automated crypto trading platform told us specifically.

People vs bots

According to Bloomberg, more than 80% of trades in traditional financial markets are made with the help of automated trading systems – trading robots or, simply put, bots. Traders set up bots, and they execute trades in accordance with the specified conditions.

Similar data is emerging in the cryptocurrency market. Automated trading eliminates the need to track the right moment for a deal, but also requires human attention.

Pros of trading bots:

No emotions

Traders, like all humans, may find it difficult to control their emotions. The bot follows a given strategy without panic or hesitation.

Saves time

With bots there is no need to constantly check the situation on the market – automatic programs do it on their own.

Fast decision-making

Bots can instantly react to market fluctuations and execute trades according to their settings. It is practically impossible for a human to place hundreds or thousands of orders in a second.

Bots do not sleep

Unlike the traditional stock market, the crypto market operates 24/7. This requires traders to be in front of the trading screen at all times. Using a bot doesn’t sacrifice sleep.

However, there is a significant “but”. Bots are able to relieve traders of many routine actions. However, you should not take them as an independent, passive source of income. Trading bots work solely on settings set by a trader. These settings require constant checking and, if necessary, adjustment.

Basic rules when trading with bots

Watch your bot.

To trade successfully using a bot, you need to control it. You should regularly check its activity: how well it operates in a particular market situation. Watch your trading pairs, analyze charts and check the news from the cryptocurrency world in order not to lose your investment.

Beware of fraudsters.

Never trust bots that promise you income after depositing cryptocurrency into their “smart contract. Real bots should only work through your account at a well-known cryptocurrency exchange. You must see all of your bot’s trades and bids. The bot cannot withdraw money from your account on its own. Permission to make transactions must always come from you – through your chosen trading strategy.

Best Bot for cryptocurrency trading

As the cryptocurrency market develops, there are more and more platforms that give you the opportunity to use trading bots. We have divided them into several types based on their key functions.


This bot track trends in the cryptocurrency market and make trades based on this information. Bots react to events and predict the movement of the asset’s value. Often, such bots provide an opportunity to set limits, upon reaching which the trade will be closed. It allows to fix profits and avoid large losses when the trend reverses. Access to the platform features depends on the plan.

  • Manual trading
    • Take Profit and Stop Loss
    • Smart Cover
  • Automated trading
    • Long&Short algorithms
  • Price Charts
  • Notifications
  • Marketplace
  • API Access

Alternative: Cryptohopper, TradeSanta.

Bottom line

Trading bots can save time, speed up trading activity, and help make profits. However, a bot should not be left unattended – it should be used consciously. Remember that the bot is not a trader. Only a person decides which strategy to use, as well as what and how to trade.

10 Best Deepfake Apps and Websites [Updated List]

Here are the top 10 deepfake apps you can try for fun and understand the technology

The acceleration of digital transformation and technology adoption have benefited many industries. It has given rise to many innovative technologies and deepfakes are one of them. We all saw how Barack Obama called Donald Trump a ‘complete dipshit’. This is an example of deepfake videos. Deepfake technology uses AI, Deep Learning, and a Generative Adversarial Network or GAN to build videos or images that seem real but are actually fake. Here are the top 10 deepfake apps and websites to experiment with for fun and to further understand the technology.

1. Reface

It is an AI-powered app that allows users to swap faces in videos and GIFs. Reface was formerly known as Doublicat, which had gone viral soon after its launch. With Reface, you can swap faces with celebrities, memes, and create funny videos. The app intelligently uses face embeddings to perform the swaps. The technology is called Reface AI and relies on a Generative Adversarial Network. The latest addition is a new feature by Reface that enables users to upload their own content other than selfies. The new feature is called Swap Animation and it lets users add content other than selfies like photos of any humanoid entity, animate it, and do face swap.

2. MyHeritage

My Heritage is a genealogy website that has an app with a deepfake feature. The startup uses a technology called Deep Nostalgia, which lets the users animate old photos. MyHeritage nostalgia feature took the internet by storm and social media was flooded with different experimental photos. This deepfake technology animates the photos uploaded by making the eyes, face, and mouth displaying slight movements.

3. Zao

Zao, a Chinese deepfake technology app, rose to popularity and went viral in the country. Zao’s deep fake technology allows users to swap their faces onto movie characters, it lets the users upload any piece of video and in minutes you get a deepfake generated. The app is only released in China and it efficiently creates amazingly real-looking videos in just minutes. The app enables users to choose from a wide library of videos and images. Zao’s algorithm is mostly trained on Chinese faces and hence, might look a bit unnatural on others.

4. FaceApp

This editing application recently went viral due to its unique features that enable users to apply aging effects. Social media was flooded with people trying different filters from FaceApp in recent times. This is a free app, and this makes it even more viral among the audience. FaceApp leverages artificial intelligence, advanced machine learning, deep learning technology, along with an image recognition system.

5. Deepfakes Web

It is an online deepfake software that works in the cloud. Deepfakes Web allows the users to create deepfake videos on the web and unlike the other apps, it takes almost 5 hours to curate a deep fake video. It learns and trains from the videos and images uploaded, using its deepfake AI-based algorithm and deep learning technology. This platform is a good choice if you want to know the technology behind deepfakes better and understand the nuances of computer vision. It allows the users to reuse the trained models so that they can further improve on the video and create deepfakes without using a trained model. The platform is priced at USD3 per hour and promises complete privacy by not sharing the data with a 3rd party.

6. Deep Art Effects

As the name suggests, it is not a deepfake video app, but DeepArt creates deepfake images by turning them into artistic. The app uses a Neural Style Transfer algorithm and AI to convert the uploaded photos into famous fine arts paintings, and recreate artistic images. DeepArt is a free app and has more than 50 art styles and filters. The app offers standard, HD, and Ultra HD features, in which the latter two are priced versions. The app allows its users to download and share the images created.

7. Wombo

Wombo is an AI-powered lip-sync app, wherein users can transform any face into a singing face. There is a list of songs to choose from and users can select one and make the chosen character in an image to sing it. The app creates singing videos that have a Photoshop quality to them and hence, it seems animated and not realistic. Wombo uses AI technology to enable the deepfake scenario.

8. DeepFace Lab

It is a windows program that lets users create deepfake videos. Rather than taking deepfake technology as a fun element, this software program allows its users to learn and understand the technology better. It uses deep learning, machine learning, and human image synthesis. Primarily built for researchers in the field of deep learning and computer vision, DeepFace Lab is not a user-friendly platform. The user needs to learn the documentation and also needs a powerful PC with a high-end GPU to use the program.

9. Face Swap Live

Face Swap Live is a mobile application that lets users swap faces with another person in real-time. The app also allows its users to create videos and apply different filters to them and directly share them on social media. Unlike most of the other deepfake apps, Face Swap Live does not use static images and instead enables to perform of live face swaps with the phone camera. Face Swap Live is not a fully deepfake app, but if you are looking to use deepfakes for fun, this should be the right one. The app effectively uses computer vision and machine learning.

10. AvengeThem

AvengeThem is a website that lets users select a GIF and swap their images onto the faces of the characters from the Avengers movie series. Although it is not a completely deepfake website as it uses a 3D model to replace the faces and animate them. The website has about 18 GIFs available and it does not take more than 30 seconds to create this effect, which does not look very realistic.

Which one is the future of Machine Learning?

JavaScript is the most common coding language in use today around the world. This is for a good reason: most web browsers utilize it, and it’s one of the easiest languages to learn. JavaScript requires almost no prior coding knowledge — once you start learning, you can practice and play with it immediately. 

Python, as one of the more easy-to-learn and -use languages, is ideal for beginners and experienced coders alike. The language comes with an extensive library that supports common commands and tasks. Its interactive qualities allow programmers to test code as they go, reducing the amount of time wasted on creating and testing long sections of code.  

GoLang is a top-tier programming language. What makes Go really shine is its efficiency; it is capable of executing several processes concurrently. Though it uses a similar syntax to C, Go is a standout language that provides top-notch memory safety and management features. Additionally, the language’s structural typing capabilities allow for a great deal of functionality and dynamism.

Low/ No-code platforms: A lot of elements can be simply dragged and dropped from the library. They can be used by different people who need AI in their work but don’t want to dive deep into programming and computer science. In practice, the border between no-code and low-code platforms is pretty thin. Both still, usually leave some space for customization.

R is a strong contender, just missed this poll by a slight margin.

Hard Forks vs. Airdrops: What’s the Difference?

If you have to deal with digital assets, to buy, sell or trade them at CEX.IO exchange, for example, you should have come across the terms hard forks and airdrops. Even if you are new to the crypto industry, studying some new terms will come in handy. 

Many compelling ways exist for earning passive income through investing in cryptocurrencies. Traditional financial methods are similar to some crypto passive income methods, but some are unique to crypto. This is the case with airdrops and forks – the free distribution of certain tokens to users.

You may have mentioned once that digital currency in your wallet has increased for no reason. However, later, you have it resulting from an airdrop.

Hard forks and airdrops can be compared on some level, which sometimes leads to ambiguity among cryptocurrency holders. Both of these operations have important differences, however.

Let’s find them out together.

Cryptocurrencies offer many compelling ways to earn passive income and make profits through investing.

Stephen Webb

Hard Fork: what is it and how to use it?

It’s not a secret that software protocols enable digital assets to function. The protocols may be changed periodically, and the modifications are getting incorporated once a consensus of the client permits them. This separation of existing users and new users is known as a “hard fork.”

A hard fork appears in blockchain when there is a constant split occurring as soon as the code changes. Thus, two paths appear: the one develops into the new blockchain, while the other remains the original blockchain.

Each block of the chain is handled differently as a result of the protocol changes. The modifications may be different, varying from the block size to updating for solving a hack or breach in the network. In other words, the fork occurs when the previous protocol diverges from the new one.

It’s worth adding that not every cryptocurrency wallet or exchange service supports hard forks.

Hard forks: examples

The implementation of a new blockchain protocol on an existing cryptocurrency can be complicated. Next, we’ll review airdrops, which are a common method of delivering goods.

You might find it easier to visualize these logistics with an example you are familiar with like a Windows update addressed to fix a security vulnerability. Certain users will update to the newest version of Windows as soon as it’s released, while others might opt not to upgrade for some time, leaving various versions of the operating system running on different computers.

Nevertheless, that example has two major flaws.

The software updated in newer versions is generally better. However, one of the two outcomes of crypto hard forks doesn’t necessarily mean something is better. There are often two outcomes, depending on how they are intended to be used. Users may prefer different branches of the fork depending on individual preferences. A good example of this is the Bitcoin hard fork that resulted in Bitcoin Cash (BCH) living alongside Bitcoin (BTC). Investor speculation and conversation have increased substantially when Bitcoin has forked. Several Bitcoin forks have occurred over the years, with many of them mostly going unnoticed.

The old operating system cannot be used when upgrading the computer’s operating system. Conversely, a hard fork will result in both the new and the old crypto assets.

Airdrops: what does it stand for?

Cryptocurrency airdrops occur when creators of tokens grant coins to some members of the community free of charge. This involves the distribution of cryptocurrency to a specific society of investors. The creator may offer an airdrop in the form of acquisition through an ICO or a freebie. Tokens in airdrops are traditionally distributed to owners of a preexisting crypto network, like Bitcoin or Ethereum.

Therefore, an airdrop can occur either during the pre-launch stage of a token by inserting a wallet address into the airdrop form, or by keeping an entirely different coin or token. 

What’s the intention of Airdrop?

Airdrop aims to increase awareness. A buyer’s primary move in the marketing process is getting informed. The character of an airdrop is fundamentally affected by human behavior since people tend to buy commodities they are familiar with rather than ones they are unfamiliar with. An airdrop, therefore, serves the purpose of providing people with a drive of their tokens, for those in charge of issuing them. In contrast to alternative ad models (such as Google Ads), airdrops are usually a more effective way to promote cryptocurrencies.

Do the hard forks and airdrops influence the market?

A valuable new token backed by a proven protocol can be introduced to the market at every hard fork. The practice has shown that adoption is often lower than anticipated. The new token has lost a lot of value when compared to the initial coin after major hard forks have taken place in the industry.

What is more, the appearance of new altcoins on the market as well as low user adoption can make users sell new coins at a rapid pace. Therefore, the value of the stock drops sharply.

There are, however, exceptions to the rule. Thus, Decred (DCR) launched its virtual currency airdrop in 2016 and distributed about 500,000 USD. The value of the 2016 DCR token has risen from 2 euros to 170 euros today. Also, the initial cryptocurrency token sale by Squeezer (SQR) took place in 2019. Over 20,000 new users were acquired through an airdrop within an hour, which proves that airdrops can be successful in bringing on new players.

Using airdrops as a competitive tool is also possible for crypto projects. A number of airdrop campaigns have been launched by 1INCH, the maker of Uniswap’s competitor Mooniswap, to boost 1INCH’s adoption among Uniswap users.

Read also: Is it Possible to Make Money On a Mining Farm in 2021?

To sum up

Blockchain protocols undergo hard forks when they alter to generate a parallel blockchain. Bitcoin Cash, the new form of Bitcoin, was a good example of this. The coins of the new blockchain are automatically distributed to users who invested in the prior blockchain before the fork.

The process of an airdrop takes place when cryptocurrency projects deposit tokens directly into a user’s wallet. Typically it happens in exchange for social media promotions or bounties. Some campaigns are designed to encourage users to adopt the system.

One thing to remember: not every digital currency wallet or exchange supports hard forks. 

How to make Own Discord Bot?

5 Steps How to Create a Discord Bot Account

  1. Make sure you’re logged on to the Discord website.
  2. Navigate to the application page.
  3. Click on the “New Application” button.
  4. Give the application a name and click “Create”.
  5. Go to the “Bot” tab and then click “Add Bot”. You will have to confirm by clicking “Yes, do it!”

How to Create a Discord Bot for Free with Python – Full Tutorial

We are going to use a number of tools, including the Discord API, Python libraries, and a cloud computing platform called Repl.it.

How to Set Up Uptime Robot

Now we need to set up Uptime Robot to ping the webserver every five minutes. This will cause the bot to run continuously.

Create a free account on https://uptimerobot.com/.

Once you are logged in to your account, click “Add New Monitor”.

For the new monitor, select “HTTP(s)” as the Monitor Type and name it whatever you like. Then, paste in the URL of your web server from repl.it. Finally, click “Create Monitor”.

We’re done! Now the bot will run continuously so people can always interact with it on Repl.it.


You now know how to create a Discord bot with Python, and run it continuously in the cloud.

There are a lot of other things that the discord.py library can do. So if you want to give a Discord bot even more features, your next step is to check out the docs for discord.py.

Clone and create a private GitHub repository with these steps

Ever since they became a standard offering on a free tier, private GitHub repositories have become popular with developers. However, many developers become discouraged when they trigger a fatal: repository not found error message in their attempts to clone a private GitHub repository.

In this tutorial, we will demonstrate how to create a private GitHub repository, then securely clone and pull your code locally without the need to deal with fatal errors.

How to create a private GitHub repository

How to create a private GitHub repository

There aren’t any special steps required to create a private GitHub repository. They’re exactly the same as if you were to create a standard GitHub repository, albeit with one difference: You click the radio button for the Private option.

How to clone a private GitHub repository

How to successfully clone a private GitHub repository.

The first thing a developer wants to do after the creation of a GitHub repository is to clone it. For a typical repo, you would grab the repository’s URL and issue a git clonecommand. Unfortunately, it’s not always that simple on GitHub’s free tier.

If you’re lucky, when you attempt to clone your private GitHub repository, you’ll be prompted for a username, after which an OpenSSH window will then query for your password. If you provide the correct credentials, the private repository will clone.

However, if OpenSSH isn’t configured on your system, an attempt to clone the private repository will result in the fatal: repository not found GitHub error message.

The fatal ‘repository not found’ error on GitHub.

Fix repository not found errors

If you do encounter this dreaded error message, don’t fret, because there’s a simple fix. Prepend the private GitHub repository’s username and password to the URL. For example, if my username was cam and the password was 1234, the git clone command would look as follows:

git clone https://cam:1234@github.com/cameronmcnz/private-github-repo.git

Since you embedded the credentials in the GitHub URL, the clone command takes care of the authorization process, and the command will successfully create a private GitHub repository clone on your local machine. From that point on, all future git pull and git fetch commands will run successfully.

Cameron McKenzie

What Is A Software Version Number?

Software version numbers provide developers an easy way to determine what changes had be made and when the changes had been made to the software.

Types of version numbers

  • major version number is incremented when there is a significant code change that might be incompatible with previous versions, such as a fundamental change of framework.
  • minor version number is incremented when significant bug fixes are implemented, or a new feature is added.
  • revision number is incremented when minor bug fixes are implemented.

Why are there different versions of software?

When new features are introduced, bugs are fixed, or security holes are patched, the version number is increased to indicate the installed software includes those improvements. Version numbering is especially important in corporate settings, where products and services may rely upon features specific to a certain version of the software.

Software Version Number definition by Wiki

Software versioning is the process of assigning either unique version names or unique version numbers to unique states of computer software. Within a given version number category (major, minor), these numbers are generally assigned in increasing order and correspond to new developments in the software. At a fine-grained level, revision control is often used for keeping track of incrementally different versions of information, whether or not this information is computer software.

Find the software version on your iPhone, iPad, or iPod

You can find the version of iOS, iPadOS, or iPod software installed on your iPhone, iPad, or iPod with your device or using your computer.

On an iPhone, iPad, or iPod touch

To find software version installed on your device, go to Settings > General, then tap About.

On your iPod, iPod classic, iPod nano, or iPod mini

  1. Press the Menu button multiple times until the main menu appears.
  2. Scroll to and select Settings > About.
  3. The software version of your device should appear on this screen. On iPod nano (3rd or 4th generation) and iPod classic, press the Center button twice on the About screen to see the software version.

Software Version Numbering Rules

here’s a quick look at software version numbering rules and what those numbers mean for you as a software user.

  • The software release cycle
  • A numbers breakdown
  • A release type breakdown

Let’s go back to the number we used as an example at the start of this post: Version 17.4.26.

Each number in that sequence refers to a specific release type:

  • Major releases (indicated by the first number)
  • Minor releases (indicated by the second number)
  • Patches (indicated by the third number)

In this instance, Version 17.4.26 means that:

  • Your current product has had 17 sweeping upgrades (versions) during its lifecycle
  • This current version of the product has since received four updates
  • The current version has been patched 26 times

Clear and consistent software version numbering rules, then, make it easy to track where you’re at with your current release.





How to find a real Deepnude Source Code?

Here are 9 public repositories on Github matching this topic:

yuanxiaosc / DeepNude-an-Image-to-Image-technology

This repository contains the pix2pixHD algorithms(proposed by NVIDIA) of DeepNude, and more importantly, the general image generation theory and practice behind DeepNude.

zhengyima / DeepNude_NoWatermark_withModel

dreamnettech / dreamtime

dreamnettech / dreampower

Yuagilvy / DeepNudeCLI

redshoga / deepnude4video

Sergeydigl3 / pepe-nude-colab

ieee820 / DeepNude-an-Image-to-Image-technology

2anchao / deepnude_test

 DeepNude Algorithm

DeepNude is a pornographic software that is forbidden by minors. If you are not interested in DeepNude itself, you can skip this section and see the general Image-to-Image theory and practice in the following chapters.

DeepNude_software_itself content:

  1. Official DeepNude Algorithm(Based on Pytorch)
  2. DeepNude software usage process and evaluation of advantages and disadvantages.


Recognition and conversion of five types of images [porn, hentai, sexy, natural, drawings]. Correct application of image-to-image technology.

NSFW (Not Safe/Suitable For Work) is a large-scale image dataset containing five categories of images [porn, hentai, sexy, natural, drawings]. Here, CycleGAN is used to convert different types of images, such as porn->natural.

  1. Click to try pornographic image detection Demo
  2. Click Start NSFW Research

Image Generation Theoretical Research

This section describes DeepNude-related AI/Deep Learning theory (especially computer vision) research. If you like to read the paper and use the latest papers, enjoy it.

  1. Click here to systematically understand GAN
  2. Click here to systematically image-to-image-papers

1. Pix2Pix


Image-to-Image Translation with Conditional Adversarial Networks is a general solution for the use of conditional confrontation networks as an image-to-image conversion problem proposed by the University of Berkeley.View more paper studies (Click the black arrow on the left to expand)

Image Generation Practice Research

These models are based on the latest implementation of TensorFlow2.

This section explains DeepNude-related AI/Deep Learning (especially computer vision) code practices, and if you like to experiment, enjoy them.

1. Pix2Pix

Use the Pix2Pix model (Conditional Adversarial Networks) to implement black and white stick figures to color graphics, flat houses to stereoscopic houses and aerial maps to maps.

Click Start Experience 1

2. Pix2PixHD

Under development… First you can use the official implementation

3. CycleGAN

The CycleGAN neural network model is used to realize the four functions of photo style conversion, photo effect enhancement, landscape season change, and object conversion.

Click Start Experience 3


DCGAN is used to achieve random number to image generation tasks, such as face generation.

Click Start Experience 4

5. Variational Autoencoder (VAE)

VAE is used to achieve random number to image generation tasks, such as face generation.

Click Start Experience 5

6. Neural style transfer

Use VGG19 to achieve image style migration effects, such as photo changes to oil paintings and comics.

Click Start Experience 6


If you are a user of PaddlePaddle, you can refer to the paddlepaddle version of the above model image generation model library paddegan.


Something to consider:

From Wikipedia: “X-Ray Specs are an American novelty item, purported to allow the user to see through or into solid objects. In reality the glasses merely create an optical illusion; no X-rays are involved. The current paper version is sold under the name “X-Ray Spex”; a similar product is sold under the name “X-Ray Gogs”.”

“X-Ray Specs consist of an outsized pair of glasses with plastic frames and white cardboard “lenses” printed with concentric red circles, and emblazoned with the legend “X-RAY VISION”.

“The “lenses” consist of two layers of cardboard with a small hole about 6 millimetres (0.24 in) in diameter punched through both layers. The user views objects through the holes. A feather is embedded between the layers of each lens. The vanes of the feathers are so close together that light is diffracted, causing the user to receive two slightly offset images. For instance, if viewing a pencil, one would see two offset images of the pencil. Where the images overlap, a darker image is obtained, supposedly giving the illusion that one is seeing the graphite embedded within the body of the pencil. As may be imagined, the illusion is not particularly convincing.

“X-Ray Specs were long advertised with the slogan “See the bones in your hand, see through clothes!” Some versions of the advertisement featured an illustration of a young man using the X-Ray Specs to examine the bones in his hand while a voluptuous woman stood in the background, as though awaiting her turn to be “X-rayed”.

Do you believe Vue.JS will surpass React.JS in 2021?

Nope I don’t.

I’ve worked with both Vue and React. Vue.JS is my favorite so far. But, talking about surpassing react and within 2018! That’s not possible practically.


Cause even if react does something pretty bad, it’ll still take time to fade away and that’s not as quick as end of 2018. A lot of big names are using react in production. It’ll be hard to beat.

On another side, VueJS needs to do something amazing to steal everyone’s attention and make them switch from react/angular.

But, even if it becomes the best front end framework, it still needs a big name as backer so that people can trust and make decision. For example – React has Facebook, Angular has Google as backer. So, this will be a big jump if Vue can manage that.

the end, Vue.JS is a great tool. But, It’s not gonna surpass ReactJS considering the real market in 2019.

Al-Amin Nowshad, JS Developer

Vue vs React.JS Statistics Comparison

  • We know of 280,379 live websites using Vue.
  • 6th most popular in the Top 10k sites in JavaScript Library category.

Choosing Between Vue.js and ReactJS in 2021: What’s Best for Your Project?

10 Most In-Demand Programming Languages to Learn

In this article, you will discover the top 10 programming languages ​​you must follow to boost your resume in 2021. The growing demand in the industry can be confusing, and finding the most promising programming language can be challenging. In addition to technical knowledge, working as a freelancer or for a specific company, you always need to have a good resume, because communication skills are just as important. Special services will help here, you can just write “Hello, do my java assignment” and you’re done. Let’s get straight to the point and start this list at number 10.

10. Kotlin is a general-purpose programming language. Originally developed by JetBrains and then developed by Google engineers, Kotlin is so instinctive and concise that you can write code with one hand. Kotlin is widely used for Android development, web development, desktop applications, and server-side development. Kotlin was better built than Java, and people using that language believe that most Google applications are based on Kotlin.

9. Swift is an open-source general-purpose programming language developed by Apple. It is heavily influenced by Python, so it is fast and easy to learn. Swift is mainly used to develop native iOS and Mac OS apps. Apple encourages the use of Swift throughout the development process. More than half of the apps in the app store are built using the Swift programming language.

8. Objective-C was introduced by the Apple developers and was the first iOS programming language between 1983 and 2014. Objective C is being gradually replaced by Swift. Resources for learning to code on macOS and iOS today mainly focus on Swift. Even if Swift replaces Objective-C, this programming language will remain popular in 2021. One of the main reasons is that many iOS apps were written in this language, and many companies need developers to maintain and improve those apps.

7. R was developed by Robert Gentleman and Ross Ihaka in 1992. R is a complex statistical analysis language that encourages developers to implement new ideas. R works best on Linux, Microsoft, or GNU. Based on my experience, I started writing code with R at university a few years ago on a Macbook Air.

6. C ++ is one of the most efficient and flexible programming languages ​​out there, although it is relatively old compared to others on this list. It has maintained its demand due to its high performance and reliability. C ++ was created to support object-oriented programming and has rich libraries. C ++ is used in the tech industry for a variety of purposes such as desktop applications, web development, mobile solutions, game development, and embedded systems.

5. PHP programming languages ​​were created to support a personal website. However, today it is ranked over 24% of websites worldwide. The PHP language is commonly used for building static and dynamic websites. Some popular web frameworks like Laravel are built with PHP. PHP makes dynamic changes to the website and makes web applications more interactive.

4. C #. We have C # in the fourth position. C # is an object-oriented and easy-to-learn programming language. It is fast and supports many libraries for rich functionality, making it the next best choice after Python, Java, and Javascript. The C # programming language is widely known for developing windows and its applications, and now it is even used to develop virtual reality games.

3. Javascript is the most popular language for web development today. Highly interactive websites and web applications are powered by Javascript. Javascript was the primary language for front-end development. It still exists, but it is now also used for server-side or back-end development to implement frameworks such as node.js. Opportunities are expanding rapidly in game development and the Internet of Things.

2. Java. James Gosling created Java in 1991; it is the most popular programming language around the world. Java is known for providing the largest number of jobs in the IT industry. Java has a large-scale application from scientific applications to financial and banking services through web development and mobile development, while not forgetting desktop applications.

1. Python is the fastest growing and one of the most popular programming languages. Built on robust and well-thought-out frameworks, it is open source and easy to learn. Python is used in many areas of the industry. If you’re using Python, you can work in a different field, from finance to healthcare, through engineering companies and AI companies. For example, today, even if you are looking for a job as a Wall Street trader, you will need to know how to program in Python. One of the key competitors of JavaScript, despite its different purposes. Most commonly, Python is used to create 2D images, 3D animations, and video games. With its help, services such as Quora, YouTube, Instagram, and Reddit were created.

What Is ‘Cloud Native’ (and Why Does It Matter)?

Cloud computing adoption has accelerated rapidly as technology leaders look to achieve the right mix of on-premise and managed cloud services for various applications and workloads. And this adoption is only expected to increase further; according to IDC, public cloud spending is forecasted to nearly double from $229 billion in 2019 to almost $500 billion in 2023.

As cloud computing adoption has increased across IT, a new application classification has also emerged: “cloud native.” As the “cloud native” descriptor appears more and more often in developer conversations and in articles such as, “The challenges of truly embracing cloud native” and “Six steps for making a successful transition to a cloud native architecture,” it’s become such a buzzword that the important distinctions for successful systems and applications are often lost. By designing cloud native solutions from the beginning, businesses can maximize the full potential of the cloud instead of struggling to adapt existing architectures.

What Does Cloud Native Mean?

The Linux Foundation offers the following definition: “Cloud native computing uses an open-source software stack to deploy applications as microservices, packaging each part into its own container and dynamically orchestrating those containers to optimize resource utilization.”

Analyst Janakiram MSV provided a slightly different description to The New Stack: “Cloud native is a term used to describe container-based environments. Cloud native technologies are used to develop applications built with services packaged in containers, deployed as microservices and managed on elastic infrastructure through agile DevOps processes and continuous delivery workflows.”

While those technical definitions might be accurate, they also somewhat obscure the forest for the trees. At Streamlio, we believe it’s useful to take a step back from the technical definitions to set the broader context: to be cloud native as a solution is to embody the distinguishing characteristics of the cloud. It’s no longer enough for developers to design systems and applications that simply operate “in the cloud.” Instead, the cloud needs to be a key part of the design process so solutions are optimized from the ground up to leverage that environment.

For example, the practice of “lift and shift” to move on-premise IT infrastructure to the cloud in no way results in a cloud native solution. Deploying a solution in the cloud that was originally designed to run in a traditional data center is possible, but generally of limited merit, as you’re simply redeploying the same application and architecture on different infrastructure and likely making it more complicated in the process.

The Easy Way to Tell if a Solution Is Cloud Native

Cloud native solutions allow you to deploy, iterate and redeploy quickly and easily, wherever needed and only for as long as necessary. That flexibility is what makes it easy to experiment and to implement in the cloud. Cloud native solutions are also able to elastically scale up and down on the fly (without disruption) to deliver the appropriate cost-performance mix and keep up with growing or changing demands. This means you only have to pay for and use what you need.

Cloud native solutions also streamline costs and operations. They make it easy to automate a number of deployment and operational tasks, and — because they are accessible and manageable anywhere — make it possible for operations teams to standardize software deployment and management. They are also easy to integrate with a variety of cloud tools, enabling extensive monitoring and faster remediation of issues.

Finally, to make disruption virtually unnoticeable, cloud native solutions must be robust and always on, which is inherently expensive. For use cases where this level of resiliency is needed, it’s worth every penny. But for use cases where less rigorous guarantees make sense, the level of resiliency in a true cloud native architecture should be easily tunable to deliver the appropriate cost-reliability balance for the needs at hand.

Best Practices for Becoming Cloud Native

Organizations looking to become more cloud native should carefully examine how closely new technology meets the above criteria. Key areas of focus should be on how (not just where) data is stored and, perhaps more importantly, how it is moved into and out of the production environment. Some questions you can ask to determine how “cloud native” a solution includes:

  • How is resiliency handled? How are scaling and security implemented?
  • Rather than asking if it’s implemented as an open-source software stack that deploys as a series of microservices, ask can you scale up and down without disrupting users or applications?
  • Can the solution not only easily be deployed, but also be rapidly (re)configured?

Asking questions like these helps you to uncover the underlying architecture of the solution. Fundamentally, it’s either cloud native or it’s not. You can’t just add cloud native fairy dust into an architecture not designed for it and be successful. For enterprises and vendors, building in the cloud is an opportunity to refresh applications and architectures in ways that make them more flexible, scalable and resilient, changing the way organizations can and must think about things like capacity planning, security and more.

Organizations should also carefully avoid designing solutions that are either too narrow or too broad. Designing for too narrow a scenario can make it difficult to accommodate new uses and applications that emerge rapidly in cloud environments, while designing for too many possible needs at the start can lead to over-engineering that delays projects and adds paralyzing and fragile complexity.

When choosing a cloud solution, don’t just assume that because a solution comes from a cloud provider it’s the most cloud native option available. Instead, carefully evaluate each application to ensure it meets both your needs and your expectations.

Private Clouds vs Virtual Private Clouds (VPC)?

To understand why Virtual Private Clouds (VPC) have become very useful for companies, it’s important to see how cloud computing has evolved. When the modern cloud computing industry began, the benefits with cloud computing were immediately clear; everyone loved its on-demand nature, the optimization of resource utilization, auto-scaling, and so forth. As more companies adopted cloud, a number of organizations asked themselves, “how do we adopt the cloud while keeping all these applications behind our firewall?” Therefore, a number of vendors built private clouds to satisfy those needs.

In order to run a private cloud as though it were on-premises and get similar benefits to having a public cloud, you need a multi-tenant architecture. It helps to be a big company with many departments and divisions that all use the private cloud’s resources. Private clouds work when there are enough tenants and resource requirements are ebb and flow so that a multi-tenant architecture works to the advantage of the organization.

In a private cloud model, the IT department acts as a service provider and the individual business units act as tenants. In a virtual private cloud model, a public cloud provider acts as the service provider and the cloud’s subscribers are the tenants.

Moving away from traditional virtual infrastructures

A private cloud is a large initial capital investment to set up but, in the long run, it can bring savings––especially for large companies. If the alternative is every division gets its own mainframe, and those machines are over-engineered to accommodate peak utilization, the company ends up with a lot of expensive idle cycles. Once a private cloud is in place, it can reduce the overall resources and costs required to run the IT of the whole company because the resources are available on-demand rather than static.

But not every company has the size and the number of tenants to justify a multi-tenant private cloud architecture. It sounds good in principle, but for companies at a particular scale, it just doesn’t work. The alternative was the best of both worlds; have VPC vendors handle the resources and the servers but keep the data and applications behind the company’s firewall. The solution was a Virtual Private Cloud; it is behind the firewall and is private to your organization, but housed on a remote cloud server. Users of VPCs get all the benefits of the cloud, but without the cost drawbacks.

Today, about a third of organizations rely on private clouds, and many companies embarking on the cloud journey want to know whether a private cloud is the right move for them; they also want to ensure that there are no security concerns. Without going too far into those debates, there are certainly advantages to moving to a private cloud. But there are disadvantages as well; again, it is capital and resource intensive to set up. However, running a private cloud can lead to significant resource savings, but some organizations do not have enough tenants to make hosting their own cloud worth it.

VPCs give you the best of both worlds in that you’re still running your applications behind your firewall, but the resources are still owned, operated, and maintained by a VPC vendor. You don’t need to acquire and run all the hardware and server space to set up a private cloud; a multi-tenant cloud provider will do all of that for you––but you will still have the security benefits of a private cloud.

How Anypoint Virtual Private Cloud provides flexibility

Anypoint Platform provides a Virtual Private Cloud that allows you to securely connect your corporate data centers and on-premises applications to the cloud, as if they were all part of a single, private network. You can create logically separated subnets within Anypoint Platform’s iPaaS, and create the same level of security as your own corporate data centers.

More and more companies require hybrid integration for for their on-premises, cloud, and hybrid cloud systems; Anypoint VPC seamlessly integrates with on-premises systems as well as other private clouds.

Google AI Hub: what, why, how

Artificial intelligence (AI) and machine learning (ML) increasingly seem to be indispensable tools that developers need to be able to handle. There are many ways these tools can be put to use, applied to applications and products. In research and academia, the subject has been around for 70 years or so — more or less the same time span which separates the birth of computers and information technology from the present day. However the popularity of this field has fluctuated considerably in the last few decades, experiencing dark times (the infamous ‘AI Winter’) and golden eras, such as the present (a phase that does not seem destined to end any time soon).

Why you may need artificial intelligence?

The immediate impact on everyday lives of Artificial Intelligence and similar technologies has never been as popular and widely (if not wildly) acknowledged as in the present day. Every CEO wants their company to use it, produce it, develop it — and every developer wants to join the party. Of course, there is nothing wrong with that: on the contrary, for an entrepreneur it is a natural impulse to exploit state of the art technologies in order to keep pace with competitors and to try to take a forward step before them. It is also perfectly natural for a developer to be intrigued, at the very least, by an impressive and pervasive technology that, although still rather intricate from the theoretical point of view, is largely accessible in terms of both tools and programming systems.

Even if you don’t want to learn Python, R or Scala (though you should!) and prefer to stick to the Java and C# you probably use in your daily work, ready to use libraries and frameworks will be found within your favourite computer language. If readers will permit a personal digression, my first experiences with AI were in BASIC(!) and my first professional project in the field (being paid to deliver an AI product) some twenty years ago was in C: at the time I had to do most of the work ‘by hand’, due to a lack of standardised libraries (or indeed any libraries at all) suited to my purpose.

Today, things are simpler for developers in this respect: one can learn a library or framework for an already-familiar language, or learn the foundations of an easier interactive language, such as Python or R, and start using de facto the standard libraries such as TensorFlow that are available for many mainstream languages (even for Javascript).

In short, it is a natural and healthy instinct for a developer to be interested in participating in and delivering AI projects. The easiest introduction involves finding tutorials, explanations, or introductions written by other developers, and downloading open source tools. Such tools (Jupyter notebooks, for example) are usually easy to install and easy to use for those who are just starting to code and to solve problems using AI methods.

Of course, where both CEOs and developers (whose salaries are paid by CEOs) want to work with AI, it is obvious that the team’s joint efforts will result in the delivery of AI products or solutions to sell to customers.

However, it is precisely at this point that things become difficult: while a single developer may create a Jupyter notebook that brilliantly solves some regression, prediction or generation problem, to transform that solitary effort into a standard delivery pipeline is very difficult — often, it may be better to restart from scratch.

On the one hand, projects — collective efforts performed by teams — are what leads to delivery; on the other hand, an enterprising solution needs to satisfy business requirements — the first goal of any profitable project. In other words, first the business case, next the technology required to efficiently satisfy that need.

Developers playing with Pytorch late at night may produce interesting prototypes, which may suggest ways to solve a problem or need experienced by the company but creating a new product on the strength of that idea alone is another matter entirely. A production pipeline with delivery of an AI-based product, made for a specific purpose as its goal is needed, and will need to be managed properly. Artificial Intelligence project management is another interesting issue but will be dealt with elsewhere.

What is Google AI Hub?

The time has now come to introduce our main character, Google AI Hub: at first glance, this is just a repository of tools able to provide the individual parts of the pipeline mentioned above. It is also an ecosystem of plugins and goes as far as supplying end-to-end pipelines to support the delivery of an AI product, at different levels of abstractions, according to the resources available to produce it.

In fact, AI Hub is more than a repository, providing different assets for different goals: for example, it can be used to learn ML algorithms, or to use built artefacts available either in the public domain via Google, or shared as plug-ins within your organisation. Alternatively, one can use AI Hub to share one’s own models, code and more with peers in the same organisation — a hub that facilitates collaboration on AI projects by means of reuse, sharing and factoring.Let’s begin by finding something useful just to play with — something ready to use. Visit the site homepage on which assets are classified in categories in a menu of the left hand side. Choose the ‘Notebook’ category for this example:

This offers a list of notebooks provided by Google. For our current purposes, we could open the first and start using it.

Once we access the asset — in this case a Notebook — we can open it in Colab to explore and exploit. This is a simple asset exploitation of course, but Google-provided notebooks are great; well documented and easy to use, they’re a good way to learn by doing.

Among the available assets we find datasets, services (API, for example, which may be called on by your application to use built-in functionalities, or to train your model via transfer learning, etc.), trained models, TensorFlow modules, virtual machine images, and Kubeflow pipelines. All these assets occur somewhere in the development process of an AI application. The importance of Kubeflow pipelines — an interesting way to embed AI models inside an application — should be particularly stressed, but more on that later.

How to benefit from Google AI Hub

In this introductory note we cannot give a general overview of all the tools available on the Google AI Hub dashboard (the platform itself provides several tutorials on how to start using each tool and resource it makes available). In place of this, we offer some hints on the task of deploying a scalable ML application through the hub.

An important initial note about using AI Hub for practice is that you will need a Google Cloud Platform account. Starter accounts that are essentially free of charge are available, but you’ll need to provide bank account details. It’s probably best to operate inside an organisation account instead — typically one belonging to your company: organisations have the ability to use and share assets via the Hub. For example, if you work in R&D you can share prototypes with your colleagues working on architecture, delivery or another aspect of the product.

The dashboard of the platform allows management of projects using assets from the hub. A project may start as a simple Jupyter notebook, for which you can choose not only the language (Python 2/3, R, …) but also the computational sizing (e.g. if you need some kind of GPU to properly run it, etc.) and other parameters. All of these factors determine the cost of the service needed to run the notebook.

Needless to say, you can edit and run your notebook on the cloud platform as you would in your local environment: you’ll find all the main tools already available for whichever language and framework you chose; for example, TensorFlow is already installed in the Python environments, and you can ‘Pip’ whatever additional packages you need.

It is also easy to pull and push your notebooks from and to Git repositories, or to containerize your notebook in order to install specific libraries and acquire the level of customization your code requires to run properly.

At a certain point (probably at the start!) you’ll need to handle a dataset, perhaps to train your model or to fine tune a pre-trained model. AI Hub provides a section on datasets that is not simply a bookmark or repository but allows for labelling data. This is a practical need in many projects, and the lack of a dataset appropriate for your supervised model is a frequent issue when trying to build a product based on ML models.

In this section of the hub you can add a dataset for which you can specify the kind of data and its source, upload data and specify a label set which provides the complete list (to the best of your knowledge) of labels of your data. This is not only for recording purposes: in fact you can also add a set of instructions and rules according to which human labellers may attach labels to the elements of your dataset. This feature allows you to specify the requirements of a labelling activity to be performed by someone paid to do it on your behalf.

However, labelling data is not an easy task and is subject to ambiguities (people do this task instead of a machine for some very good reasons!) so one may need to refine instructions and initially provide a limited trial dataset on which to assess both the quality of labelling and the level of description actually required in the instructions. Since this is a crucial step in training a ML model, real life projects will require people to manage this activity by collaborating closely with the developers to get a useful, and as unbiased as possible, dataset on which to train the ML model.

‘Jobs’ is another interesting feature from the AI platform. Used to train models, you may define these using standard built-in algorithms or your own algorithm, according to your model’s needs. In most cases algorithms built in the platform will suffice for training purposes.

Up to this point we have talked about models, datasets (and the interesting labelling feature) and training jobs: these tasks form the bulk of an AI developer’s day-to-day work, whether on their local systems or on the shared tools provided by their organisations.

A complete, end-to-end ML pipeline is somewhat more complicated, however, requiring at least the following steps

  • Data ingestion to encapsulate data sourcing and persistence: this should be an independent process for each dataset needed, and is a typical job;
  • Data preparation: to extract, transform and select features which increase efficiency and should not deteriorate performances;
  • Data segregation, to split datasets into the parts needed for different purposes, for example: training set and validation set, as required by different validation strategies.
  • Model training on training datasets, which may be parallelized using either datasets or models (most applications put different models to work).
  • Model assessment on validation datasets, when performance measurements are also taken.
  • Model deployment: the model could be programmed in a framework which is not the native framework of the application (e.g. R for modelling, C# for production code) so that deployment may demand containerization, service exposition, wrapping, etc.
  • Model use in the production environment with new data.
  • Model maintenance — mostly performance measurement and monitoring, to correct and recalibrate the model if needed.

In this ‘model lifecycle’, the final step, i.e., the integration with the application which needs the model, is typically not covered by AI frameworks and hence is the most problematic step for a developer team, yet the most important step for the business.

The ecosystem which AI Hub embraces to achieve these results is based on Kubeflow (in turn based on Kubernetes), which is essentially used as the infrastructure for deploying containerized models in different clusters, and as the basic tool to access scalable solutions.

A possible lifecycle could be as follows (for more information on this specific tool check this link).

  1. Set up the system in a development environment, for example on premises e.g., on your laptop.
  2. Use the same tools that work for large cloud infrastructures in the development environment, particularly in designs based on decoupled microservices etc.
  3. Deploy the same solution to a production environment (on premises or cloud cluster) and scale it according to real need.

Kubeflow began as the way Google ran Tensorflow internally, using a specific pipeline designed to let TensorFlow jobs run on Kubernetes.

A final word on sharing: as we have said, all these tasks cannot be accomplished by a single developer alone, unless they are experimenting by themselves: in production environments a team of developers, analysts and architects usually cooperate to deliver the project. Developers in particular cooperate, and sharing is an essential part of cooperation.

Assets uploaded or configured on AI Hub can be shared in different ways:

  • simply add a colleague by using their email address, much as in other Google tools when sharing documents, etc.
  • share with a Google group
  • share with the entire organisation to which one belongs.

Moreover, different profiles may be assigned to people we are sharing with, essentially a read only profile and an edit profile.

All in all, although it is not always easy to use and is subject to several constraints, Google AI Hub is a complex tool which may be used to deploy and scale ML applications or ML models to integrate into business applications, within a uniform framework. It is difficult to say if this will become the standard of ML deployment but it certainly traces a roadmap toward a flexible engineering of the ML model lifecycle.

Migrate to typescript – the advance guide

About a year ago I wrote a guide on how to migrate to typescript from javascript on node.js and it got more than 7k views. I did not have much knowledge on javascript nor typescript at the time and might have been focusing too much on certain tools instead of the big picture. And the biggest problem is that I didn’t provide a solution to migrating large projects where you obviously not going to rewrite everything in a short time, thus I feel the urge to share the greatest and latest of what I learned on how to migrate to typescript.

The entire process of migrating your mighty thousand-file mono-repo project to typescript is easier than you think. Here’s 3 main steps on how to do it.

NOTE: This article assumes you know the basics of typescript and use Visual Studio Code, if not, some details might not apply.

Relevant code for this guide: https://github.com/llldar/migrate-to-typescript-the-advance-guide

Typing Begins

After 10 hours of debugging using console.log, you finally fixed that Cannot read property 'x' of undefined error and turns out it’s due to calling some method that might be undefined: what a surprise! You swear to yourself that you are going to migrate the entire project to typescript. But when looking at the libutil and components folder and those tens of thousands of javascript files in them, you say to yourself: ‘Maybe later, maybe when I have time’. Of course that day never come since you always have “cool new features” to add to the app and customers are not going to pay more for typescript anyway.

Now what if I told you that you can migrate to typescript incrementally and start benefiting from it immediately?

Add the magic d.ts

d.ts files are type declaration files from typescript, all they do is declaring various types of objects and functions used in your code and does not contain any actual logic.

Now considering you are writing a messaging app:

Assuming you have a constant named user and some arrays of it inside user.js

const user = {
  id: 1234,
  firstname: 'Bruce',
  lastname: 'Wayne',
  status: 'online',

const users = [user];

const onlineUsers = users.filter((u) => u.status === 'online');

  onlineUsers.map((ou) => `${ou.firstname} ${ou.lastname} is ${ou.status}`)

Corresponding user.d.ts would be

export interface User {
  id: number;
  firstname: string;
  lastname: string;
  status: 'online' | 'offline';

Then you have this function named sendMessage inside message.js

function sendMessage(from, to, message)

The corresponding interface in message.d.ts should look like:

type sendMessage = (from: string, to: string, message: string) => boolean

However, our sendMessage might not be that simple, maybe we could have used some more complex types as parameter, or it could be an async function

For complex types you can use import to help things out, keep types clean and avoid duplicates.

import { User } from './models/user';
type Message = {
  content: string;
  createAt: Date;
  likes: number;
interface MessageResult {
  ok: boolean;
  statusCode: number;
  json: () => Promise<any>;
  text: () => Promise<string>;
type sendMessage = (from: User, to: User, message: Message) => Promise<MessageResult>

NOTE: I used both type and interface here to show you how to use them, you should stick to one of them in your project.

Connecting the types

Now that you have the types, how does them work with your js files?

There are generally 2 approaches:

Jsdoc typedef import

assuming user.d.ts are in the same folder, you add the following comments in your user.js:

 * @typedef {import('./user').User} User

 * @type {User}
const user = {
  id: 1234,
  firstname: 'Bruce',
  lastname: 'Wayne',
  status: 'online',

 * @type {User[]}
const users = [];

// onlineUser would automatically infer its type to be User[]
const onlineUsers = users.filter((u) => u.status === 'online');

  onlineUsers.map((ou) => `${ou.firstname} ${ou.lastname} is ${ou.status}`)

To use this approach correctly, you need to keep the import and export inside your d.ts files. Otherwise you would end up getting any type, which is definitely not what you want.

Triple slash directive

Triple slash directive is the “good ol’way” of import in typescript when you are not able to use import in certain situations.

NOTE: you might need to add the following to your eslint config file when deal with triple slash directive to avoid eslint errors.

  "rules": {
    "spaced-comment": [
        "line": {
          "markers": ["/"]

For message function, add the following to your message.js file, assuming message.js and message.d.ts are in the same folder

/// <reference path="./models/user.d.ts" /> (add this only if you use user type)
/// <reference path="./message.d.ts" />

and them add jsDoc comment above sendMessage function

* @type {sendMessage}
function sendMessage(from, to, message)

You would then find out that sendMessage is now correctly typed and you can get auto completion from your IDE when using from , to and message as well as the function return type.

Alternative, you can write them as follows

* @param {User} from
* @param {User} to
* @param {Message} message
* @returns {MessageResult}
function sendMessage(from, to, message)

It’s a more of a convention to writing jsDoc function signatures. But definitely more verbose.

When using triple slash directive , you should remove import and export from your d.ts files, otherwise triple slash directive will not work , if you must import something from another file use it like:

type sendMessage = (
  from: import("./models/user").User,
  to: import("./models/user").User,
  message: Message
) => Promise<MessageResult>;

The reason behind all these is that typescript treat d.ts files as ambient module declarations if they don’t have any imports or exports. If they do have import or export, they will be treated as a normal module file, not the global one, so using them in triple slash directive or augmenting module definitions will not work.

NOTE: In your actual project, stick to one of import and export or triple slash directive , do not use them both.

Automatically generate d.ts

If you already had a lot of jsDoc comments in your javascript code, well you are in luck, with a simple line of

npx typescript src/**/*.js --declaration --allowJs --emitDeclarationOnly --outDir types

Assuming all your js files are inside src folder, your output d.ts files would be in types folder

Babel configuration(optional)

If you have babel setup in your project, you might need to add this to your babelrc

  "exclude": ["**/*.d.ts"]

To avoid compiling the *.d.ts files into *.d.js , which doesn’t make any sense.

Now you should be able to benefit from typescript (autocompletion) with zero configuration and zero logic change in your js code.

The type check

After at least more than 70% of your code base is covered by the aforementioned steps, you now might begin considering switch on the type check, which helps your further eliminate minor errors and bugs inside your code base. Don’t worry, you are still going to use javascript for a while, which means no changes in build process nor in library.

The main thing you need to do is add jsconfig.json to your project.

Basically it’s a file that define the scope of your project and defines the lib and the tools you are going to work with.

Example jsonconfig.json file:

  "compilerOptions": {
    "module": "commonjs",
    "target": "es5",
    "checkJs": true,
    "lib": ["es2015", "dom"]
  "baseUrl": ".",
  "include": ["src/**/*"],
  "exclude": ["node_modules"]

The main point here is that we need checkJs to be true, this way we enable type check for all our js files.

Once it’s enabled, expect a large amount of errors, be sure fix them one by one.

Incremental typecheck

// @ts-nocheck

In a file, if you have some js file you would rather fix later , you can // @ts-nocheck at the head of the page and typescript complier would just ignore this file.

// @ts-ignore

What if you just want you ignore 1 line instead of the entire file? Use // @ts-ignore. It will just ignore the line below it.

These two tags combined should allow you fix type check errors in your codebase in a steady manner.

External libraries

Well maintained library

If you are using a popular library, chances are there are already typing for it at DefinitelyTyped , in this case, just run:

yarn add @types/your_lib_name --dev


npm i @types/your_lib_name --save-dev

NOTE: if you are installing a type declaration for an organisational library whose name contains @ and / like @babel/core you should change its name to add __ in the middle and remove the @ and /, resulting in something like babel__core.

Pure Js Library

What if you used a js library that the author archived 10 years ago and did not provide any typescript typing? It’s very likely to happen since the majority of the npm models still use javascript. Adding @ts-ignroe doesn’t seem like a good idea since you want your type safety as much as possible.

Now you need to augmenting module definitions by creating a d.ts file, preferably in types folder, and add your own type definitions to it. Then you can enjoy the safe type check for your code.

declare module 'some-js-lib' {
  export const sendMessage: (
    from: number,
    to: number,
    message: string
  ) => Promise<MessageResult>;

After all these you should a have pretty good way to type check your codebase and avoid minor bugs.

The type check rises

Now after you fixed more than 95% of the type check errors and is sure that every library have corresponding type definitions. You may process to the final move: Officially changing your code base to typescript.

NOTE: I will not cover the details here since they were already covered in my earlier post

Change all files into .ts files

Now it’s time to merge the d.ts files with you js files. With almost all type check errors fixed and type cover for all your modules. What you do is essentially changing require syntax to import and putting everything into one ts file. The process should be rather easy with all the work you’ve done prior.

Change jsconfig to tsconfig

Now you need a tsconfig.json instead of jsconfig.json

Example tsconfig.json

Frontend projects

  "compilerOptions": {
    "target": "es2015",
    "allowJs": false,
    "esModuleInterop": true,
    "allowSyntheticDefaultImports": true,
    "noImplicitThis": true,
    "strict": true,
    "forceConsistentCasingInFileNames": true,
    "module": "esnext",
    "moduleResolution": "node",
    "resolveJsonModule": true,
    "isolatedModules": true,
    "noEmit": true,
    "jsx": "preserve",
    "lib": ["es2020", "dom"],
    "skipLibCheck": true,
    "typeRoots": ["node_modules/@types", "src/types"],
    "baseUrl": ".",
  "include": ["src"],
  "exclude": ["node_modules"]

Backend projects

  "compilerOptions": {
      "sourceMap": false,
      "esModuleInterop": true,
      "allowJs": false,
      "noImplicitAny": true,
      "skipLibCheck": true,
      "allowSyntheticDefaultImports": true,
      "preserveConstEnums": true,
      "strictNullChecks": true,
      "resolveJsonModule": true,
      "moduleResolution": "node",
      "lib": ["es2018"],
      "module": "commonjs",
      "target": "es2018",
      "baseUrl": ".",
      "paths": {
          "*": ["node_modules/*", "src/types/*"]
      "typeRoots": ["node_modules/@types", "src/types"],
      "outDir": "./built",
  "include": ["src/**/*"],
  "exclude": ["node_modules"]

Fix any addition type check errors after this change since the type check got even stricter.

Change CI/CD pipeline and build process

Your code now requires a build process to generate to runnable code, usually adding this to your package.json is enough:

    "build": "tsc"

However, for frontend projects you often would need babel and you would setup your project like this:

  "scripts": {
    "build": "rimraf dist && tsc --emitDeclarationOnly && babel src --out-dir dist --extensions .ts,.tsx && copyfiles package.json LICENSE.md README.md ./dist"

Now make sure your change your entry point in your file like this:

  "main": "dist/index.js",
  "module": "dist/index.js",
  "types": "dist/index.d.ts",

Then you are all set.

NOTE: change dist to the folder you actually use.

The End

Congratulations, your codebase is now written in typescript and strictly type checked. Now you can enjoy all typescript’s benefits like autocomplete, static typing, esnext grammar, great scalability. DX is going sky high while the maintenance cost is minimum. Working on the project is no longer a painful process and you never had that Cannot read property 'x' of undefined error ever again.

Alternative method:

If you want to migrate to typescript with a more “all in” approach, here’s a cool guide for that by airbnb team

ESX vs. ESXi: Main Differences and Peculiarities

According to the latest statistics, VMware holds more than 75% of the global server virtualization market, which makes the company the undisputed leader in the field, with its competitors lagging far behind. VMware hypervisor provides you with a way to virtualize even the most resource-intensive applications while still staying within your budget. If you are just getting started with VMware software, you may have come across the seemingly unending ESX vs. ESXi discussion. These are two types of VMware hypervisor architecture, designed for “bare-metal” installation, which is directly on top of the physical server (without running an operating system). The aim of our article is to explain the difference between them.

If you are talking about a vSphere host, you may see or hear people refer to them as ESXi, or sometimes ESX.  No, someone didn’t just drop the i, there was a previous version of the vSphere Hypervisor called ESX.  You may also hear ESX referred to as ESX classic or ESX full form.  Today I want to take a look at ESX vs ESXi and see what the difference is between them.  More importantly, I want to look at some of the reasons VMware changed the vSphere hypervisor architecture beginning in 2009.

What Does ESXi Stand for and How Did It All Begin?

If you are already somewhat familiar with the VMware product line, you may have heard that ESXi, unlike ESX, is available free of cost. This has led to the common misconception that ESX servers provide a more efficient and feature-rich solution, compared to ESXi servers. This notion, however, is not entirely accurate.

ESX is the predecessor of ESXi. The last VMware release to include both ESX and ESXi hypervisor architectures is vSphere 4.1 (“vSphere”). Upon its release in August 2010, ESXi became the replacement for ESX. VMware announced the transition away from ESX, its classic hypervisor architecture, to ESXi, a more lightweight solution.

The primary difference between ESX and ESXi is that ESX is based on a Linux-based console OS, while ESXi offers a menu for server configuration and operates independently from any general-purpose OS. For your reference, the name ESX is an abbreviation of Elastic Sky X, while the newly-added letter “i” in ESXi stands for “integrated.” As an aside, you may be interested to know that at the early development stage in 2004, ESXi was internally known as “VMvisor” (“VMware Hypervisor”), and became “ESXi” only three years later. Since version 5, released in July 2011, only ESXi has continued.

ESX vs. ESXi: Key Differences

Overall, the functionality of ESX and ESXi hypervisors is effectively the same. The key difference lies in architecture and operations management. If only to shorten the VMware version comparison to a few words, ESXi architecture is superior in terms of security, reliability, and management. Additionally, as mentioned above, ESXi is not dependent on an operating system. VMware strongly recommends their users currently running the classic ESX architecture to migrate to ESXi. According to VMware documentation, this migration is required for users to upgrade beyond the 4.1 version and maximize the benefits from their hypervisor.

Console OS in ESX

As previously noted, ESX architecture relies on a Linux-based Console Operating System (COS). This is the key difference between ESX and ESXi, as the latter operates without the COS. In ESX, the function of the console OS is to boot the server and then load the vSphere hypervisor into the memory. After that, however, there is no further need for the COS as these are its only functions. Apart from the fact that the role of the console OS is quite limited, it poses certain challenges to both VMware and their users. COS is rather demanding in terms of the time and effort required to keep it secure and maintained. Some of its limitations are as follows:

  • Most security issues associated with ESX-based environment are caused by vulnerabilities in the COS;
  • Enabling third-party agents or tools may pose security risks and should thus be strictly monitored;
  • If enabled to run in the COS, third-party agents or tools compete with the hypervisor for the system’s resources.

In ESXi, initially introduced in the 3.5 VMware release, the hypervisor no longer relies on an external OS. It is loaded from the boot device directly into memory. The fact that the COS has been eliminated is beneficial in many ways:

  • The decreased number of components allows you to develop a secure and tightly locked-down architecture;
  • The size of the boot image is reduced;
  • The deployment model becomes more flexible and agile, which is beneficial for infrastructures with a large amount of ESXi hosts.

This way, the key point in the ESX vs. ESXi discussion is that the introduction of ESXi architecture resolved some of the challenges associated with ESX, thus enhancing security, performance, and reliability of the platform.Data Protection with NAKIVO Backup & Replication

ESX vs. ESXi: Basic Features of the Latter

For today, ESXi remains a “bare-metal” hypervisor that sets up a virtualization layer between the hardware and the machine’s OS. One of the key advantages of ESXi is that it creates a balance between the ever-growing demand for the resource capacity and affordability. By enabling effective partitioning of the available hardware, ESXi provides a smarter way for the hardware use. Simply put, ESXi lets you consolidate multiple servers onto fewer physical machines. This allows you to reduce both the IT administration effort and resource requirements, especially in terms of space and power consumption, thus helping you save on total costs in return.

Here are some of the key features of ESXi at a glance:

Smaller footprint 

ESXi may be regarded as a smaller-footprint version of ESX. For quick reference, “footprint” refers to the amount of memory the software (or hypervisor, in this context) occupies. In the case of ESXi 6.7, this is only about 130 MB, while the size of an ESXi 6.7 ISO Image is 325 MB. For comparison, the footprint of ESXi 6 is about 155 MB.

Flexible configuration models

VMware provides its users with a tool to figure out the recommended configuration limits for a particular product. To properly deploy, configure, and operate either physical or virtual equipment, it is advisable that you do not go beyond the limits that the product supports. With that, VMware creates the means for accommodating applications of basically any size. In ESXi 6.7, each of your VMs can have up to 256 virtual CPUs, 6 TB of RAM, 2 GB of video memory, etc. The size of the virtual disk is 62 TB.


The reason it was so easy to develop and install agents on the service console was because the service console was basically a linux VM sitting on your ESX host with access to the VMkernel.

This means the service console had to be patched just like any other Linux OS, and was susceptible to anything a Linux server was.

See a problem with that and running mission critical workloads?  Absolutely.

Rich ecosystem

VMware ecosystem supports a wide range of third-party hardware, products, guest operating systems, and services. As an example, you can use third-party management applications in conjunction with your ESXi host, thus making infrastructure management a far less complex endeavor. One VMware tool, Global Support Services (GSS), allows you to find out whether or not a given tech problem is related to the third-party hardware or software.

User-friendly experience

Since the 6.5 release, the vSphere Client is available in an HTML5 version, which greatly improves the user experience. With that release, there is also the vSphere Command-Line Interface (vSphere CLI), allowing you to initiate basic administration commands from any machine that has access to the given network and system. For development purposes, you can use the REST-based APIs, thus optimizing application provisioning, conditional access controls, self-service catalog, etc.


Coming back to VMware ESX vs. ESXi comparison, the two hypervisors are quite similar in terms of functionality and performance, at least when comparing the 4.1 release versions, though they are entirely different when it comes to architecture and operational management. Since ESXi does not rely on a general-purpose OS, unlike ESX, this provides you with the opportunity to resolve a number of security and reliability issues. VMware encourages migration to ESXi architecture; according to their documentation, migration can be performed with no VM downtime, although the process does require careful preparation.

To help you protect your VMware-based infrastructure, NAKIVO Backup & Replication offers a rich set of advanced features that allow for automatization, near-instant recovery, and resource saving. Below are outlined some of our product’s basic features that can be especially helpful in a VMware environment:

VMware Backup – Back up live VMs and application data, and keep the backup archive for as long as you need. With NAKIVO Backup & Replication, backups have the following characteristics:

  • Image-based – the entire VM is captured, including its disks and configuration files;
  • Incremental – after the initial full backup is complete, only the changed blocks of data are copied;
  • Application-aware – application data in MS Exchange, Active Directory, SQL, etc. is copied in a transactionally-consistent state.

VMware Replication – Create identical copies, aka replicas, of your VMs. Until needed, they remain in a powered-off state and don’t consume resources.

If a disaster strikes and renders your VM unavailable, you can fail over to this VM’s replica and have it running in basically no time.

Policy-Based Data Protection – Free up your time by automating the basic VM protection jobs. Create rules based on a VM’s name, size, tag, configuration, etc. to have the machine added to a specific job scope automatically. With policy rules in place, you no longer need to chase newly-added or changed VMs yourself.

NAKIVO Backup & Replication was created with the understanding of how important it is to achieve the lowest possible RPO and RTO. With backups and replicas of your workloads in place, you can near-instantly resume operations after a disaster, with little to no downtime or data loss.

How RPA closes the Digital Gap between Healthcare and Technology

This is where RPA – Robotic Process Automation – can particularly help.

The ongoing pandemic has forced every industry to bring revolutionary changes in their working patterns as well as to satisfy the ever-changing needs of the customers they need to come up with some innovations.

Change is the mother of invention and the companies in any industry can reap the desired rewards once they work according to the demands and the requirements why they need to make some changes in their companies and what’s the need?

Things are changing in every industry and healthcare is not an exception to it. The pandemic called out for high levels of anxiety and stress and it becomes pivotal to release their workload as their work has been rapidly increasing particularly in this year whether we talk about doctors, nurses and other medical staff.

The doors of technology opened up wide gates for healthcare and for the technology this year than ever before.

With the pressures of the global pandemic on healthcare systems and its staff, HEalthcare is now closely chosen and closely intervenes with the technological sector.

Technology can speed up the workload and can provide much convenience to the doctors and other medical staff.

The routine medical data of the patients needs much care and the continuous process of this hectic data becomes tedious for the medical staff to keep it specific along with the COVID 19 information and data of the patients.

This is where RPA can get integrated, RPA can genuinely reduce the amount of time which was earlier spent on repetitive and daily tasks for processing such medical data right from scheduling the appointment to inventory and test management.

Medical staff almost spend most of their time solving and updating the administrative tasks on the apps as well as on the computers.

RPA can be the most proven automation tool to take the workload and release the medical staff from tedious and repetitive work.

RPA can also provide the best healthcare support as it makes the utilization of data that is available in large volume which helps in improving the quality of information, it even improves the medical decisions.

Opportunities for RPA in Healthcare

The healthcare sector has been the perfect conductor of technological evolution for years and years.

Such an evolution can not be implemented directly and there are several factors that are to be taken into consideration such as the cost of implementation, existing infrastructure, and the legacy system. 

Such transformation can make the difference between the health services and it can keep up the pace of the dynamic changes happening in the demographics of the United Kingdom and its evolution as the perfect fit for all the technological age or the complete failure of it. 

Following the tremendous pressure and warnings that healthcare services are performing poorly with the rising demand of the COVID-19 scenario.

The shortages of the medical staff pertaining to COVID-19 situations are now a threat to the overall healthcare system.

The considerations and warnings have spiked up the recent boom of digitalization and automation technologies that all the analysts have been observing over a wide range of all the industries.

RPA can assist in boosting up the operational growth and can certainly create a positive patient experience even by increasing the control and terminating the additional things. 

The results of RPA in healthcare

There are many recent use-cases where RPA played a pivotal role in providing better healthcare services to the patients and then making a tangible difference to all the operations

  1. Mater Hospital, Ireland (link)

    All the automation projects with all the major hospitals in Dublin has been rendering the medical staff with their own software robots which can take the workload of nurses dealing with infection control along with COVID-19.

    Much of the administrative tasks gets performed by the robots which includes the information on patient’s testing and even the reports that were made previously had to be taken into consideration. 

The nurses can now spend their time as the frontline warriors with all the patients who are suffering from the coronavirus.

The robots can speed up the coronavirus spread which ultimately means that the patients can be informed about their diagnosis at a much quicker and faster rate which eventually helps the patients to isolate themselves from the people and to stop the spread of virus.

  1. Cleveland Clinic, The United States of America (read)

    The coronavirus testing of the patients across the states sped up at the rapid rate amidst the protocols which need the patients to be registered and the test kits which have been correctly labelled.

    To bear up with the rising demand, the clinic also deployed a robot to manage the patient’s data, register them and even correctly label the test kit which they really require. It can complete the overall process in just 15 seconds.
  2. Swiftqueue, Global (more)

    The Swiftqueue is a cloud-based platform for healthcare that makes use of all the automation solutions to bridge the gap between the patient engagement system with all the multiple data storing systems and each hospital uses.

    Integrated across various countries such as the UK, Canada, and the USA. The platform even gets into proper use to plan patients for multiple outpatients and even the diagnostic appointments which help in representing massive savings in various countries and where hospital appointments are still made using the post or where the patients are the only one who is able to reschedule the appointments via phone.

    Another important aspect of such partnership between UiPath and Swiftqueue is that such software robots can eventually reduce the time taken by the hospitals across the UK and Ireland to process the huge backlog of all the appointments made to the patients which are even unlinked to COVID-19 when the global pandemic gets in control a little.

The last line

Automation in the healthcare industry can improve the health and patient care which is being delivered currently at a faster rate. Any task which is tedious, repetitive and which requires little decision making and no human interaction which is suitable for automation. Healthcare is predicted to have a 36% automation potential, meaning that more than a third of healthcare tasks – especially managerial, back-office functions – could be automated, allowing healthcare providers to offer more direct, value-based patient care at lower costs and increased efficiency.

RPA can curb all such problems of the medical staff and nurses when it comes to performing the administrative tasks so that the medical staff can completely focus on the core subjects.

Healthcare and automation is likely to bring new methods of healthcare solutions and will overall take the industry to the next level.

About the Author: Parth Patel is a serial entrepreneur and CEO of SyS Creations which is a top provider of RPA in Healthcare. Operating the IT Infrastructure of SMEs and startups keeps him on his toes and his passion for helping others keeps him motivated

101 Code Review: What is It and Why is It Important?

New to the concept of code review? This post explains what code review is and why it’s important.

What is Code Review?

As Wikipedia puts it, “Code review is systematic examination … of computer source code. It is intended to find and fix mistakes overlooked in the initial development phase, improving both the overall quality of software and the developers’ skills.”

What is the purpose of code review?

Code review is the most commonly used procedure for validating the design and implementation of features. It helps developers to maintain consistency between design and implementation “styles” across many team members and between various projects on which the company is working.

We perform code review in two levels. The first is known as peer review and the second is external review.

The code review process doesn’t begin working instantaneously (especially with external review), and our process is far from being perfect — although we have done some serious research around the topic [3]. So, we are always open to suggestions for improvement. 

Having said that, let’s dig into peer reviews.

What is a peer review?

A peer review is mainly focused on functionality, design, and the implementation and usefulness of proposed fixes for stated problems.

The peer reviewer should be someone with business knowledge in the problem area. Also, he or she may use other areas of expertise to make comments or suggest possible improvements.

In our company, this is necessary because we don’t do design reviews prior to code reviews. Instead, we expect developers to talk to each other about their design intentions and get feedback throughout the (usually non-linear) design/implementation process.

Accordingly, we don’t put limitations on what comments a reviewer might make about the reviewed code.

What do peer reviewers look for?

  • Feature Completion
  • Potential Side Effects
  • Readability and Maintenance
  • Consistency
  • Performance
  • Exception Handling
  • Simplicity
  • Reuse of Existing Code
  • Test Cases

Feature Completion

The reviewer will make sure that the code meets the requirements, pointing out if something has been left out or has been done without asking the client.

Potential Side Effects

The reviewer will check to see whether the changed code causes any issues in other features.

Readability and Maintenance

The reviewer will make sure the code is readable and is not too complicated for someone completely new to the project. Model and variable names should be immediately obvious (again, even to new developers) and as short as possible without using abbreviations.


Conducting peer reviews is the best approach for achieving consistency across all company projects. Define a code style with the team and then stick to it.


The reviewer will assess whether code that will be executed more often (or the most critical functionalities) can be optimized.

Exception Handling

The reviewer will make sure bad inputs and exceptions are handled in the way that was pre-defined by the team (it must be visible/accessible to everyone).


The reviewer will assess whether there are any simpler or more elegant alternatives available.

Reuse of Existing Code

The reviewer will check to see if the functionality can be implemented using some of the existing code. Code has to be aggressively “DRYed” (as in, Don’t Repeat Yourself) during development.

Test Cases

Finally, the reviewer will ensure the presence of enough test cases to go through all the possible execution paths. All tests have to pass before the code can be merged into the shared repository.

What is an external review?

An external review addresses different issues than peer reviews. Specifically, external reviews focus on how to increase code quality, promote best practices, and remove “code smells.”

This level of review will look at the quality of the code itself, its potential effects on other areas of the project, and its adherence with company coding guidelines.

Although external reviewers may not have domain expertise, they do have discretion to raise red flags related to both the design and code and to suggest ways to solve problems and refactor code as necessary.

What do external reviewers look for?

Readability and Maintenance

Similar to above, the reviewer will make sure the code is readable and is not too complicated for someone completely new. Again, all model and variable names have to be immediately obvious (even to new developers) and as short as possible without using abbreviations.

Coding Style

The reviewer will ensure that everyone adheres to a strict coding style and will use code editors’ built-in helpers to format the code.

Code Smells

Finally, the reviewer will keep an eye out (or should that be a nose out?) for code smells and make suggestions for how to avoid them.

In case the term is new to you, a code smell is “a hint that something has gone wrong somewhere in your code. Use the smell to track down the problem.”

Must external reviewers be “domain experts”?

External reviewers don’t have to have domain knowledge of the code that they will be reviewing. [4].

If they know about the domain, they will feel tempted to review it at a functional level, which could lead to burnout. However, if they have some business knowledge, they can estimate more easily how complex the review will be and can quickly complete the review, providing a more comprehensive evaluation of the code.

So, domain expertise is a bonus, not a requirement.

What if an external reviewer misses something?

We do not expect an external reviewer to make everything perfect. Something will most likely be missed. The external reviewer does not become responsible for the developer’s work by reviewing it.

How fast should developers receive a response from the external reviewer?

If a developer has requested an external review, he can expect some type of response within two hours. At the very least, the response should tell him a timeframe for completion.

In some cases, the external reviewers might not respond. They’re not perfect and might have too much work to do. Developers should feel free to ping them again if they don’t hear back within two hours or try with another external reviewer.

Why can’t developers simply merge their code into the main branch now and ask for an external review later?

There are many reasons this is a bad idea, but here are two of the most important:

  1. External reviews catch problems that would affect everyone if the code were merged into the main repository. It doesn’t make sense to cause everyone to suffer for problems that could have been caught by an external review.
  2. The process of merging code causes the developer to feel that the work is done, and it’s time to go on to the next thing. It’s silly to have people feeling like something is checked off the task list when it’s really not.

Can the external reviewer ask the developer to do something that is not precisely related to the code?

Yes, the external reviewer has some discretion here.

We don’t think that continuously making auxiliary changes that are unrelated to the core functionality is the right thing to do on reviews. On the other hand, small changes (or changes that help the code maintain a consistent style) may be requested.

There should be a reasonable relationship between the scope of the developed functionality and the scope of the requested change.


[1] Knous, M. & Dbaron, A. (2005). Code Review FAQ. Mozilla Development Network. Retrieved from https://developer.mozilla.org/en/docs/Code_Review_FAQ.

[2] Rigby, C., German, D. (2006). “A preliminary examination of code review processes in open source projects.” University of Victoria Technical Report: DCS-305-IR. Retrieved from http://ifipwg213.org/system/files/Rigby2006TR.pdf.

[3] Macchi, D., & Solari, M. (2012). Software inspection adoption: A mapping study. In Conferencia Latinoamericana de Informática (CLEI 2012). http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6427197.

[4] Mozilla (2012). Retrieved from http://www.mozilla.org/hacking/reviewers.html.

Can Wearable Devices Help Detect COVID-19?

As part of the ongoing search for COVID-19 solutions, researchers have found that data from wearable devices — Apple WatchesFitbits and the like — can act as an early warning system in detecting the illness.

According to FortuneApple, Fitbit, Garmin and other wearable device makers have donated devices to further early studies, even encouraging their own customers to participate in them.

Most recently, Fitbit and Apple have teamed up with the Stanford Healthcare Innovation Lab on its COVID-19 wearables study. While the findings have yet to be published, there’s evidence that the idea works. Stanford researchers were able to detect signs of the coronavirus before or at the time of diagnosis in in 11 of 14 patients by studying changes in their heart rate documented by Fitbits.

“There’s a huge amount of promise in these new technologies,” Dr. John Brownstein, chief innovation officer for Boston Children’s Hospital and a professor of epidemiology at Harvard Medical School, tells ABC News.

If smart devices, already worn by 21 percent of Americans, can truly flag early symptoms of COVID-19, they could help to safely reopen workplaces and schools — moving from their place as consumer gadgets to the front lines of healthcare.

How Can Fitness Trackers Help Spot Symptoms?

Wearable devices constantly monitor and collect their wearers’ vital signs, which is key to identifying a potential COVID-19 infection.

Scientists have found that even simple data collected by the devices — subtle temperature or biometric changes like an elevated heart rate or respiratory rate — can be useful in limiting the spread of the disease. And studies like those conducted by Scripps Research are taking advantage of this.

The Scripps study, known as DETECT (Digital Engagement and Tracking for Early Control and Treatment), largely relies upon a rich and diverse set of anonymized data collected from thousands of volunteers wearing smart watches and fitness trackers. The goal: to study patterns that might reveal the onset of viral infection, before symptoms are present.

“Our medical professionals work closely with scientific researchers to further our collective understanding of the threats this novel coronavirus presents,” Dr. Laura Nicholson, a hospitalist at Scripps Health and associate professor of molecular medicine at Scripps Research, said in a news release from the organization. “The DETECT study is a great example of a collaborative effort to enhance the tools at our disposal to combat outbreaks and improve patient care.”

Why Using Wearables to Detect COVID-19 Symptoms Makes Sense

The earlier a person’s illness is detected, the easier it is to prevent the spread of the virus.

“We’re looking at this asymptomatic and contagious stage,” Dr. Ali Rezai, director of West Virginia University’s Rockefeller Neuroscience Institute and leader of WVU’s COVID-19 wearables study, tells ABC News. “Our goal is to detect it early in this phase and help people manage better with work and public safety.”

Instead of asking people to take frequent coronavirus tests, which can be slow and costly, gathering data from wearable devices can act as a check on a person’s health. Individuals would be able to monitor their own health data via smartphone app to look for potential warning signs of COVID-19 infection.

“The more you know about your body and what your ‘baseline’ is, the more you’re able to tell if something is off,” Scott Burgett, director of Garmin health engineering, tells Fortune. “Because Garmin lets you see your health stats over time, it is easy to track trends and notice deviations.”

To get a better understanding of what unusual health data might actually look like, Scripps has taken its research one step further, partnering with transit and healthcare workers in San Diego. The collaboration with frontline workers at the San Diego Metropolitan Transit System and Scripps Health will examine workers who are at higher risk of exposure to COVID-19 and other respiratory illnesses.

“When your heart beats faster than usual, it can mean that you’re coming down with a cold, flu, coronavirus or other viral infection. Your sleep and daily activities can also provide clues,” Jennifer Radin, an epidemiologist at Scripps Research who is leading the study, said in the organization’s release.

“Being able to detect changes to these measurements early could allow us to improve surveillance, prioritize individuals for testing and help keep workplaces and communities safe,” she said.

Can Wearables Become Sickness Trackers?

While the idea of using wearables as a sort of symptom tracker shows promise, Brownstein tells ABC News that testing is still the only way to confirm whether an individual has actually contracted the coronavirus.

“You can’t really go buy a wearable and create a diagnosis of a particular condition,” Brownstein says. “We have to be very careful in terms of over-interpreting the data.”

He adds that wearables should not be viewed as a replacement for telehealth or an in-person visit, but rather as complementary to care patients are receiving.

Still, researchers and clinical staff are enthusiastic about the technology’s future in healthcare.

“There’s no way to get real surveillance with just testing,” Dr. Eric Topol, founder and director of the Scripps Research Translational Institute, tells Fortune. “We can’t do it frequently enough on a mass scale. But this you can do on that scale and you’re going to get a continuous signal.”

Why Nearshore Agile Development Makes Sense

The COVID-19 pandemic has affected how things get done, and it’s not business as usual anymore. However, it is increasingly necessary for companies to survive the economic strains that the pandemic may bring. This is why the support of nearshore software development partners has been crucial. 

Now more than ever, businesses need strategies that will guarantee their relevance past the COVID-19 pandemic. At such a difficult time, developing software is a smart decision to keep things running and ensure competitiveness even when things get back to the norm. So, why is nearshore software development crucial during this tough time? Take a look:

Proximity benefits 

Agile software development requires geographical proximity for it to work. It is a significant boost since your business doesn’t have to worry about travel times and costs, as it is the case with offshore locations. Whether you need to visit a provider or have them come to your premises, nearshore locations enhance accessibility and significantly reduce travel times.  

Facilitates integration

Nearshore software development providers enable you to engage with a team with cultural similarities, use the same language, and have technical expertise. It makes it easier for the external team to integrate with your existing staff bringing about efficiency. Work gets done appropriately, and every staff member executes their duties promptly. Easier integration is a significant boost for any business looking to remain profitable.

Better software

When you bring together people from different backgrounds and cultures when creating development teams, great things are bound to happen. The good thing about having people from different cultures is that they will have different ways of tackling various problems. The result is having a wide range of ideas, and you can then choose the best for your business. It also allows you to understand different experiences and problems that may not be clear to the rest of the team. When your organization has a larger pool of knowledge, things get done effectively and will allow you to concentrate on innovations and try creative solutions.

Using nearshore software development allows you to use the knowledge and expertise of different developers to your advantage. You then use their services to improve the skills and experiences of your business’s staff. 

Access to a skilled workforce

The talent shortage is a massive challenge for most businesses, not just in the US. Partnering with nearshore software development companies enables you to get access to some of the highly skilled talent that the market has to offer. At a time when the economic crisis is everything, everyone seems to talk about having a skilled workforce is essential to remain competitive and achieve business objectives.  

Nearshore software development is quite beneficial to any organization. No more than ever, it could be the solution that businesses need. However, before choosing to go with this option, it would help if you estimated all points and determined if it would enhance your business results.

Putting into consideration all the options at your disposal enables you to make sound decisions that should increase your productivity. 

Lean Canvas Examples of Multi-Billion Startups

Google’s story began with two guys spending hours in a garage trying to build the right thing. Another couple of friends – the future Airbnb founders – were short on cash and looking for a way to earn some.

Facebook, Youtube, Amazon can all boast similar bootstrapping origins. In modern terminology, they are lean startups that turned unicorns. These products have passed through the stage of a minimum viable product and managed to get over one billion US dollars of valuation.

The lean methodology, known for the introduction of different product management tools like lean canvas example, became popular after these mentioned giants were already well on their way to success. And, it’s most likely that their stories formed the backbone of this advanced mindset.

The rise of the lean startup

To some extent, the lean startup methodology was born from the ashes of the dot-com crash at the turn of the century. The irrational exuberance as Alan Greenspan named it led to the explosion of IPO prices and subsequent growth of trading prices. Around the turn of the millennium, the frenzy phase was replaced by the burning up phase during which the dot-com companies began to run out of cash rapidly. As a result, many of them went bankrupt, and the aftermath affected various supporting industries like advertising. The bubble burst and caused a nuclear winter for startup capital – angel and venture capital investments almost disappeared.

There emerged a need for an advanced methodology that would allow entrepreneurs to survive in the age of risk capital deficit. The former approach of “build first and wait for customers” had outlived its usefulness. Now, startup founders had to adapt to a new concept, based on the principle “build what customers want” and, most importantly thing, don’t rack up large costs for early changes in the pipeline.

The lean startup was a breath of fresh air. Though the name of this innovative approach was eternalized by Eric Ries in his book of the same name, he was not the only trailblazer. Steve Blank, Ian MacMillan, and others contributed to the invention of a new language that modern startups can speak. Lean is an agile development methodology, where you need to shape a hypothesis about your product/business first and then validate it with customers in service. For example, you build a minimum viable product, an iterative prototype of the would-be functional solution, and make it available for real customers to get their feedback. If it’s negative, you have not failed. You can pivot and correct the course of your idea, or change the business model. At the same time, the methodology provides numerous tools for effective strategic management, in which canvases play a significant role.

What is a lean canvas?

Ash Maurya’s brainchild, lean canvas, is a revamped business model canvas, which allows you to investigate business vistas using the problem-solution approach. This improved canvas was perfect for startups. It dovetails nicely with the lean methodology and lets you understand your customers’ needs, focus on actionable metrics and deliver a rapid idea-to-product transformation. If you are curious about its practical use, check this video explaining how to work with the tool through the example of Uber.

Today, the lean canvas template is in high demand among entrepreneurs. One of Learnmetrics founders have called it “a brilliant tool”, and the Brunch & Budgets CEO Pamela Capalad emphasises its improved usability compared to a multi page business plan. And what would Jeff Bezos or Steve Chen have said about the canvas if they could use it back in their bootstrapping days? That’s our goal in this article – to imagine lean startup canvas example for former unicorn startups that now are globally-known brands. Let’s give it a go!

Five multi-billion startups and their lean canvas examples

We went with two fundamental requirements when choosing the companies to build a lean business model canvas for. First, we picked unicorn startups. Second, we picked the companies founded before The Lean Startup’s first release in 2011.

We also decided to take a look at two different types of startup companies : invention- and money-driven. For example, the founders of Facebook, YouTube, and Google initially did not focus on making money. They were just having fun in by inventing solutions or technologies to make human life better. Amazon and Airbnb, on the other hand, were originally profit-oriented startups. Their founders set money as the primary goal of their endeavors.

Let’s now try to walk in the founders’ shoes and fill in the blank lean canvas! How about we start with Google?


Year of foundation: 1998
Venue: Menlo Park, CA
Original name: Googol
Founded by: Larry Page and Sergey Brin
Total funding amount: $36.1 million (last funding in 2000)
IPO: raised $1.7 billion in 2004

In terms of popularity and global adoption, Google is an undisputed number one company. What originated as an advanced web search engine has grown into a multinational giant that specializes in online advertising, cloud computing, hard and soft products, and many others. It’s hard to believe, but Google’s bootstrapping began in a garage, where two Montessori minds implemented their knowledge obtained in the Stanford University more than 20 years ago.

Sergey Brin and Larry Page saw gaps in Excite or Yahoo – search tools of those days and strived to improve upon their idea – to create a reliable, comprehensive and speedy search engine. The synergy of their collaboration resulted in the PageRank algorithm, which was based on the Page’s project nicknamed BackRub. According to modern realia, PageRank was the startup’s unfair advantage. Google’s founders made attempts to sell the technology to their potential competitors but failed. So, they changed the direction towards developing their research project into the lean startup. Fortunately, the co-founder of Sun Microsystems, Andy Bechtolsheim, saw some potential in their work and invested $100K. In 2018, the market value of Google exceeded $700 billion.

Now, let’s take a look at the Google lean canvas Brin and Page would likely have tailored twenty years ago.


Year of foundation: 2004
Venue: Cambridge, MA
Original name: Thefacebook
Founded by: Mark Zuckerberg, Dustin Moskovitz, Eduardo Saverin, Andrew McCollum, and Chris Hughes
Total funding amount: $2.3 billion (last funding in 2012)
IPO: raised $18.4 billion in 2012

Facebook is one of the projects that came out after the burst of the dot.com bubble. The story of the most famous social network began not in a garage but in the Harvard dormitory, where Mark Zuckerberg and company worked on a student directory featuring photos and basic information. The first fruit of their collaboration was Facemash, a website allowing students to rank each other’s photos. However, this early version didn’t catch on.

Thefacebook, the original version of the product we know today, was the result of the good and bad lessons of Facemash. The first investments in the startup amounted to $2K – $1K each by Saverin and Zuckerberg. The website coverage gradually expanded beyond the borders of Harvard to the universities of the USA and Canada. Thefacebook dropped “the” from its name in August 2005 and became an open social network.

If Zuckerberg and Saverin had wanted to make a Facebook lean canvas at the outset, it might have looked like this:


Year of foundation: 2005
Venue: San Mateo, CA
Founded by: Jawed Karim, Steve Chen, and Chad Hurley
Total funding amount: $11.5 million (last funding in 2006)
Acquired by Google for $1.7 billion in 2006

Meet another brainchild of post irrational exuberance. The founders of YouTube didn’t get their start in a garage or dormitory. They chose an apartment above a pizzeria, and that’s the place where the world’s largest video hosting service was born. The Internet users of that time had had no YouTube alternatives since ShareYourWorld, the first video hosting website, which closed in 2001, and Vimeo had just started on its way (it was founded three months before the activation of the domain name “youtube.com”). Eventually, Jawed, Steve and Chad, former PayPal employees, driven by the idea to create a video version of online dating service Hot or Not, decided to refocus their efforts on developing a video hosting startup.

Since the nuclear winter for startup capital hade come to an end, the promising project was not short of money. Sequoia Capital was the initial investor, which put in $3.5 million ten months after the domain name was activated. In 2006, YouTube was purchased by Google for a whopping $1.65 billion.

The YouTube lean canvas would reflect the following problems and solutions as of 2005.


Year of foundation: 1994
Venue: Bellevue, Washington, D.C.
Original name: Calabra
Founded by: Jeff Bezos
Total funding amount: $108 million ($8 million of funding before IPO)
IPO: raised $54 million in 1997

Today, the startup named after the second longest river on the globe is known for a plethora of activities including e-commerce, cloud computing, and even artificial intelligence. Well, almost twenty five-years ago it was just an online bookstore that dared traditional book stores. However, yet at that time Jeff Bezos already wanted to build “an everything store”.

Amazon was founded right in the middle of the dot.com bubble and was lucky to survive the following crash. Its story began in a garage, and the initial startup capital consisted of the personal savings of Bezos’ parents. At this period, web usage was growing at lightning speed, and most entrepreneurs wanted to ride the Internet wave. Jeff was considering twenty products that he could potentially sell online. However, books won due to their universal demand and low cost.

This is how the Amazon lean canvas would have looked back in 1994.


Year of foundation: 2008
Venue: San Francisco, CA
Original name: AirBed & Breakfast
Founded by: Brian Chesky, Joe Gebbia, Nathan Blecharczyk
Total funding amount: $4.4 billion (last funding in 2018)

Though the core principles of the lean startup methodology were introduced by Eric Ries three years after Airbnb’s foundation, this project had already followed them. Everything began with the simple need to make money because Brian Chesky and Joe Gebbia fell short on cash to pay their rent. The solution was inspired by circumstance – all hotels were overbooked just before some local conference. That’s how the AirBed & Breakfast website came out in 2007. The guys lodged three guests on air mattresses and treated them with breakfast for $80 per each per night. In modern terms, they released a minimum viable product to validate their idea.

After that, the Airbnb team grew (Nathan Blecharczyk joined them), survived several unlucky releases and failed to attract any of the 15 angel investors they contacted. The trio sought out other ways to nurture their pet project including the sale of cereals (that allowed them to earn $30K). Another $20K was funded by the prestigious startup accelerator Y Combinator. As soon the startup name turned from Air Bed & Breakfast into simple Airbnb, it got its first significant investment: Sequoia Capital (YouTube’s first investor) seeded $600K one month later (April 2009). In 2018, the market value of the company reached $38 billion, and they might make an IPO this year.

Let’s have a look at a possible Airbnb lean canvas.

The examples above are only our vision of how those startups could have leveraged the lean canvas framework. Do you think it looks like something the founders of those startups would’ve done?

At Railsware we also take advantage of lean canvas for both our clients’ projects such as Calendly and our own products like Smart Checklist for Jira.

Why lean canvas? It combines simplicity and power in one go. This tool poses rather simple but essential questions. Some product owners skip answering them at the outset, which is not the right way to do things. Railsware believes all the questions to be faced in the future like ‘how to promote a product?’, ‘what monetization approach to select?’ and so on must be answered at the early stages.

How Railsware uses lean canvas for product development

The lean startup methodology plays a big role in how we approach product development. And we are glad to share a piece of our craft.

The foundation stone of our pipeline is the Inception. It’s a discovery session at which we attempt to describe the product context through the ‘user-problem-solution’ prism. We are interested mostly in these three values since they represent our scope of activities in the majority of projects. Other components specified in the canvas like Channels, Existing Alternatives, and Revenue Streams are also up for during the Inception sessions. Practically, we rest upon a customized value proposition canvas, which helps us create a constructive roadmap of a project. So far, we use this approach to all products we work on.

The Ideas Incubator is yet another activity that we use to further unfold the advantages of the lean startup model canvas. As you can judge from the name, this session is devoted to nurturing our ideas to be converted into real products. You can call it a preliminary research stage, which includes filling in the lean canvas for each idea as well. We validate our ideas according to a profound analysis and avoid any progress based on a blind belief in success.

Use Lean Canvas for your product!

In this article, we tried to show that the concept of the lean startup had been bearing fruit even before it was defined and put in writing. The brilliant minds who founded Google, Facebook and other prominent companies were led by a gut feeling that brought them to success. And the fact that we applied the lean business model canvas example for each startup case is just an attempt to reveal the power of this product management tool. We do encourage you to use it and benefit from it, as well as other progressive solutions in your product development efforts. Perhaps, your project will also join the above mentioned cohort of unicorn startups in the future!

Installing and Configuring an ODBC Driver

What is ODBC Driver and Data Source?

Open Database Connectivity (ODBC) is a standard application programming interface that allows external applications to access data from diverse database management systems. The ODBC interface provides for maximum interoperability – an application that is independent of any DBMS, can access data in various databases through a tool called an ODBC driver, which serves as an interface between an external program and an ODBC data source, i.e. a specific DBMS or cloud service.

The ODBC driver connection string is a parameterized string that consists of one or more name-value pairs separated by semi-colons. Parameters may include information about the data source name, server address and port, username and password, security protocols, SQL dialects, and many more. The required information is different depending on the specific driver and database. Here’s an example of ODBC connection string:

DRIVER={Devart ODBC Driver for Oracle};Direct=True;Host=;SID=ORCL1020;User ID=John;Password=Doe

ODBC Drivers are powerful connectors for a host of database management systems and cloud services that allow you to connect to your data from virtually any third-party application or programming language that supports the ODBC API. By a third-party application, we mean tools like Power BI, Tableau, Microsoft Excel, etc.

Installing ODBC Driver for Windows 10

1. Run the downloaded installer file. If you already have another version of the driver installed in the system, you will get a warning — click Yes to overwrite the old files, though it’s recommended to first uninstall the old version. If this is the first time you install Devart ODBC driver, just click Next.

2. Read and accept the license agreement, then click Next.

3. Select the installation directory for the ODBC driver and click Next.

4. In the Select Components tab, select which version of the driver to install (64-bit / 32-bit), and whether to include the help files.

5. Confirm or change the Start Menu Folder and click Next.

6. Input your activation key or choose Trial if you want to evaluate the product before getting a license. You can load the activation key by clicking on the Load Activation Key… button and selecting the license file from your machine. Click Next and then Install.

7. After the installation is completed, click Finish.

Configuring a DSN for ODBC Driver in Windows 10 (64-bit)

Before connecting a third-party application to a database or cloud source through ODBC, you need to set up a data source name (DSN) for the ODBC driver in the Data Source Administrator. A 64-bit version of the Microsoft Windows operating system includes both the 64-bit and 32-bit versions of the Open Database Connectivity (ODBC) Data Source Administrator tool (odbcad32.exe):

  • The 32-bit version of odbcad32.exe is located in the C: \Windows\SysWoW64 folder.
  • The 64-bit version of odbcad32.exe is located in the C: \Windows\System32 folder.

1. In your Windows Search bar, type ODBC Data Sources. The ODBC Data Sources (64 bit) and ODBC Data Sources (32 bit) apps should appear in the search results.

Alternatively, you can open the Run dialog box by pressing Windows+R, type odbcad32 and click OK.

Yet another way to open the ODBC Data Source Administrator is via the command prompt: enter cmd in the search bar and click the resulting Command Prompt button. Enter the command odbcad32 and hit Enter.

2. Since most modern computer architectures are 64-bit, we’ll select the 64-bit version of the ODBC Data Source Administrator to create a DSN for our ODBC driver. The odbcad32.exe file displays two types of data source names: System DSNs and User DSNs. A User DSN is only accessible to the user who created it in the system. A System DSN is accessible to any user who is logged in into the system. If you don’t want other users on the workstation to access your data source using the DSN, choose a User DSN.

3. In the administrator utility, click on the Add button. The Create New Data Source dialog box will display the list of installed ODBC drivers in the system. Choose the needed driver from the list. The choice of the driver is determined by the data source you are trying to connect to — for example, to access a PostgreSQL database, choose Devart OBDC Driver for PostgreSQL. Click Finish.

4. Enter a name for your data source in the corresponding field. Fill in the parameters for the ODBC connection string, which is driver-specific. In most of our ODBC drivers for databases, a connection string with basic parameters requires the user to only input their server address, port number, and login credentials, since Devart ODBC drivers allow direct access to the database without involving additional client libraries.

5. Click Test Connection to verify connectivity. If you see the Connection Successful message, click OK to save the DSN. You should now see your new DSN in the User DSN tab of the ODBC Data Source Administrator tool.

Configuring a DSN for ODBC Driver in Windows 10 (32-bit)

The steps for configuring an ODBC DSN for a 32-bit driver are practically the same as for the 64-bit driver, except for the step where you select the 32-bit version of the ODBC Data Source Administrator. Running the odbcad32 command in the Command Prompt or in the Run dialog box will start the 64-bit version of the ODBC administrator on the 64-bit Windows by default, therefore your best option is to select the 32-bit version of the administrator in the search results of the Windows search box.

Note though that if you have both versions (32-bit and 64-bit) of the driver installed and you have configured a User DSN (in contrast to a System DSN), you will be able to use the same DSN for 32-bit and 64-bit applications (see the Platform column in the screenshot below).

In a situation where you need to use an application that is available only in 32-bit, the 32-bit ODBC driver does the trick. An example is Apache OpenOffice, which is distributed as a 32-bit application.

Step-by-step ODBC Data Source Setup in Windows 10

  1. Press Windows + R to open the Run dialog.
  2. Type in odbcad32 and click OK.
  3. In the ODBC Data Source Administrator dialog box, select the System DSN or User DSN tab.
  4. Click Add. The Create New Data Source dialog box should appear.
  5. Locate the necessary driver in the list and click Finish.
  6. In the Data Source Name and Description fields, enter the name and a description for our ODBC data source, respectively.
  7. Fill in the driver-specific connection string parameters, such as server address, port, username, password, etc.
  8. Click Test Connection to verify connectivity.
  9. Click OK to save the DSN.

Convert a Database from Microsoft Access to MySQL

The current version of dbForge Studio for MySQL does not allow to import the whole Access database at once. Instead, there is an option to migrate separate Access tables in MySQL format.

The article below describes the entire process of converting Microsoft Access tables to MySQL.

Importing Data

1. Open dbForge Studio for MySQL.

2. On the Database menu click Import Data. The Data Import wizard opens.

3. Select MS Access import format and specify a location of Source data. Click Next.

If the Source data is protected with a password, the Open MS Access Database dialog box appears where you should enter the password.

NOTE: To perform the transfer you should have Microsoft Access Database Engine installed. It will install components that can be used to facilitate transfer of data between Microsoft Access files and non-Microsoft Office applications. Otherwise, the Import wizard will show the following error:

Therefore, if you face the problem, download the missing components here.

Note, that the bit versions of your Windows OS and Microsoft Access Database Engine should coincide, that is, if you have the 64-bit system, you should use the 64-bit installer. However, there are cases when the 32-bit Microsoft Access is installed on the 64-bit Windows OS. In this case perform the following steps before installing.

  • Click Start, click All Programs, and then click Accessories.
  • Right-click Command prompt, and then click Run as Administrator.
  • Type file path leading to installer and “/passive”. It should look like this:

In the case above the Windows OS is 64-bit, but the installed version of Microsoft Access is 32-bit. That is why the 64-bit installer is required.

4. Select a source table. To quickly find a table in the list, enter characters of a required name into the Filter field. The list will be filtered to show only those that contain such characters in their names.

5. Specify a Target MySQL connection, and a database to convert the data to. Also, since we need to create a new table, select New table and specify its name. Click Next.

6. Map the Source columns to the Target ones. Since we create a new table in MySQL, dbForge Studio for MySQL will automatically create and map all the columns, as well as data types for each column. If the automatic match of columns’ data types is not correct, you may edit data types  manually.

Target columns are located in the top and the Source columns at the bottom of the wizard page (see the screen-shot below). Click Source column fields and select required columns from the drop-down list.

NOTE: To cancel mapping of all the columns, click Clear Mappings on the toolbar. To restore it, click Fill Mapping.

7. To edit the Column Properties, double-click a column or right-click a column and select Edit Column.

8. Click Import and see the import progress. dbForge Studio for MySQL will notify you whether the conversion completed successfully or failed. Click the Show log file button to open the log file.

9. Click Finish.

NOTE: You can save the import settings as a template for future uses. Click the Save Template button on any wizard page to save the selected settings. Next time you should only select a template and specify a location of the Source data – all the settings will be already set.

Setting Up Constraints

After importing all necessary tables you can to set up (or correct) relations between the converted tables by creating/editing foreign keys (if required).

Also, you may create primary keys, if you skipped this step during creation of a table.

Creating Foreign Key

  1. Open the table you need and choose New Foreign Key from the Table menu.
  2. Add required columns, select referenced table and referenced constraint, and click OK.


  1. Switch to the Constraints tab.
  2. Create a constraint from the context menu.

NOTE: To create a foreign key, the referenced table should have a unique index, otherwise dbForge Studio will prompt you to create it. Click Yes in the dialog and the unique index will be added.

Creating Primary Key

  1. Right-click a table, select Edit Table, switch to Constraints tab. To create a key, right-click on the white area and select New Primary Key.
  1. Add required columns to the key and click OK. You can also switch to the Constraints tab and create the primary key within context menu.


In this article we reviewed the aspects of importing MS Access database to MySQL database by means of dbForge Studio for MySQL. Despite the fact, that the current version of the program does not include the tool to migrate a MS Access database at once, the described above importing mechanism allows to perform the import fast and easily.

dbForge Studio for MySQL supports the .accdb format.


Do you want to connect your life with IT, but being simple programmer seams too boring for you? Do you want to do work for special missions and become a hacker? Then, it is the right time to learn about languages which help them to perform the job. We have made a research, and hope it will help you to make a right choice to become a hacker. Generally hacking is divided into three sections: Web Hacking, Exploit Writing and Reverse Engineering and each of those requires different programming language.


An impressive amount of applications have its versions in the Web, so it is clearly important to learn Web Hacking to be successful in the job. In order to learn it, you need to know the Web coding, as hacking is basically the process of breaking the code. So there are four the most important languages to learn:


Programmers say that that is the easiest language, which is mostly used in static markup presented in each website. Learning HTML helps a programmer to understand the logic and responses of the web actions.


That is also very popular programming tool for use for improvement of the user interface and shorter time of the response. Knowledge of the JS helps to understand client-side of the website, in the result it helps to find flaws.


This language is responsible for managing the database of Web applications. Among programmers, PHP is treated as the most important language, as it controls all actions on the site and server.


The structured query language is storing and managing sensitive and confidential data, including user credentials, bank, and personal related data and information regarding visitors to the websites. This is mostly used by black hackers, so if you want to play on the white side then learn this language and find website weaknesses.


The Exploit Writing is used for cracking the software, and mostly the Python or Ruby are used for such actions.


This language is mostly used for creating the exploit and tools that are the most important reason for learning the Python. Also, it has explicit flexibility with the possibility of creation exploits, and for that, you need to be good at Python.


It is an object-oriented language and is very useful for exploit writing, which is used for interpretation scripting by hackers. Metasploit framework, which was written with Ruby is the most famous hacking tool.


The process is based on converting the code written with a high-level language, to the low level one, without changing the original program. The reverse engineering is ought to find flaws and bugs easily. In order to perform the best results in the process, there is a need to be professional in C, C++, Java and Assembly language.

  • C/C++. Everyone knows that C is the mother of programming languages, used in software creation for Linux and Windows. As well as, those languages are very important is exploit writing and reverse engineering. C++ is a more powerful variation of C and is used for a big amount of programs and games.
  • Java. The release of the Java had run with the slogan “write once, run anywhere, which means that language is a powerful source for creating backdoor exploits and that once that can kill the computer.
  • Assembly Language. This language does not have such popularity, as ones previously described, basically, that is a very complicated low-level programming language. With the help of this one, it is possible to crack hardware or software, mostly it is used in reverse engineering. As for this process knowledge of a low-level language is a crucial thing.


Doesn’t matter, will it be surprising for most people, or not there are different classes of hackers. Most of them are classified by three the most common categories, white, black and grey hat ones. Even though, a large number of people are sure that hackers are only white or black ones. Lets review description of their classification.

  • White hat. Those hackers work by the rules, with no personal gain, without breaking the law with all contractual permissions. White hat hackers work in order to protect personal or companies information from black hackers.
  • Black hat. It is completely opposite to the white ones, the run illegal activities, breaking the rules in order to gain personal and other kinds of sensitive data. They break the websites, servers and bank account for personal gain.
  • Grey hat. This kind is something in between of the white and black ones. They follow some rules while breaking the other ones. Probably they work with good intentions, but nobody else thinks the same.


The conclusion which is coming to the mind, after everything described above – in order to become a good hacker you need to know a lot of languages. And that is quite obvious, as there is a big diversity of languages nowadays, which makes a hacking process more complicated. So, a good hacker should be a perfect software engineer, who understands the logic of coding, user actions and what type of languages is used for different programs.

The Architects of the IT world

The backbone of every thriving modern enterprise is held up and supported by skilled IT architects. An Architect for Information Technology is different from an architect that produces well-designed infrastructures. An IT Architect still designs but in an entirely different way and area of expertise.

The Role of a Cloud Architect

Today’s cloud architects are in charge of designing cloud environments, usually giving a definitive guide in the cycle of development of a cloud-based solution and project up to its deployment. They need to have an in-depth understanding of all cloud-based concepts and the components that are integral to the steady delivery of the cloud service. A cloud architect must be an expert not just in cloud-based functions and tools but should also be knowledgeable in the cloud-based infrastructure and able to provide well-strategised build-and-release directed to the development teams.

Technically speaking, cloud architects are decision-makers when it comes to the required network, suppliers to team up with and how to combine all of the procured pieces and parts from varying vendors. They also dictate what kind of API to implement, and what specific industry standards to adopt into the project.

It takes more than just knowledge in IT and being tech-savvy to make it as a cloud architect. There are specific skills required along the way. Here is a list of the qualifications and skills a cloud architect should possess or accomplish to be exceptional for the role:

An enterprise computing background

It takes more than one degree in the computing field to pass like a cloud architect. A robust general experience in the departments of MIS, computer engineering, computer science, and similar studies capped with a broad knowledge of how enterprises utilise IT solutions for various functions and reasons.

Technical skills in enterprise computing

It is but logical that cloud architects are experts in all things IT, from its core to the very last detail that binds that makes it up. Cloud architects are usually on the specialists on the different and vast disciplines of technology. These areas include but not limited to; programming languages, databases, web development and tools, infrastructure, networking, ERP and of course client systems and corresponding applications.

People Skills

This is not the usual skill required for a regular IT guy. For an IT architect, on the other hand, it is utmost crucial to have excellent communication or people skills. A cloud architect must be able to convey, effectively direct, and persuade through writing and in person, whether it is a one-on-one meeting or a panel discussion.

Leader Vibes

A cloud architect should be able to exhibit strong leadership skills to effectively convince different groups in the organization apart from the main decision-makers that the makings of a cloud environment are beneficial for the enterprise. A leadership style that best fits this job is the inverted pyramid style, which, according to our portal, is the best strategy to empower people. Learn more about at: https://www.integralrising.org/inverted-pyramid-style-why-it-is-best-to-empower-people


Cloud architects to jumpstart their role in an enterprise should be able to pinpoint the areas that need improvement or mending — being curious plays a critical part of the job as much as being analytical.

Be an architect

In essence, architects (of any field) should become planners and organisers. Projects typically take on an extended period (a few months to years) to materialise and complete. A cloud architect should be able to comply with these basics to manage a project every step of the way.

Be business-minded

Cloud architects’ focus might be on technology, but the solutions they come up with will affect the entire organization. They must put themselves in a position where they fully comprehend what the company needs, how much the solution will cost the business financially and strategically aligning the design for overall success.

What a Cloud Architecture Job entails?

Job openings are plenty across major tech hub cities, and the salaries, especially in areas of IT with high-demand on architect skills, can pay up to $150,000 or over.

The job title usually goes to those with 8-10 years of experience and comes to those senior staff in the later stages of their careers. Strong technical skills with a mix of soft skills like the ones outlined above all contribute and necessary for those who want to fill the job position.

Coding For Kids: Getting Started Learning Programming

Coding For Kids: Getting Started Learning Programming

Computer programming is rapidly becoming increasingly popular. In turn, more and more parents want their children to learn coding – and for good reason. According to the Bureau of Labor, median pay for software developers is $103,560 per year, with demand expected to increase by 24% between 2016 and 2026, a growth rate which is significantly faster than that of other occupations. Computer programming also teaches a number of important life skills, like perseverance, algorithmic thinking, and logic. Teaching your kids programming from a young age can set your child up for a lifetime of success.

While programming is offered by a some schools in the US, many schools don’t include regular computer science education or coding classes in their curriculum. When offered, it is usually limited to an introductory level, such as a few classes using Code.org or Scratch. This is mainly because effective education in computer programming generally depends on teachers with ample experience in computer science or engineering.

This is where Juni can help. With instructors from the top computer science universities in the US, Juni students work under the tutelage of instructors who have experience in the same advanced coding languages and tools used at companies like Facebook, Google, and Amazon. Juni’s project-based approach gives students hands-on experience with professional languages like Python, Java, and HTML. The rest of this article addresses some of the most frequently asked questions about coding for kids.

How can I get my child interested in coding?

Tip 1: Make it Fun!

A good way to get your child excited about programming is to make it entertaining! Instead of starting with the traditional, “Hello World” approach to learning programming, intrigue your children with a curriculum that focuses on fun, engaging projects.

Tip 2: Make it Relatable

Children are more likely to stay interested in something that they can relate to. This is easy to do with coding because so many things, from videogames like Minecraft, to movies like Coco, are created with code! Reminding students that they can learn the coding skills necessary to create video games and animation is a great motivator.

Tip 2: Make it Approachable

Introducing programming to young children through lines of syntax-heavy code can make coding seem like a large, unfriendly beast. Starting with a language like Scratch instead, which uses programming with blocks that fit together, makes it easier for kids to focus on the logic and flow of programs.

How do I teach my child to code?

There are a few approaches you can take in teaching kids how to code. Private classes with well-versed instructors are one of the most conducive ways to not only expose your kids to programming and proficiently develop your children’s coding skills, but also sustain their interest in the subject.

At Juni, we offer private online classes for students ages 5-18 to learn to code at their own pace and from the comfort of their own homes.

Via video conference, our students and instructors share a screen. This way, the instructor is with them every step of the way. The instructor first begins by reviewing homework from the last class and answering questions. Then, the student works on the day’s coding lesson.

The instructor can take control of the environment or annotate the screen — this means the instructor can type out examples, help students navigate to a particular tool, or highlight where in the code the student should look for errors — all without switching seats. Read more about the experience of a private coding class with Juni.

We have designed a curriculum that leans into each student’s individual needs. We chose Scratch as the first programming language in our curriculum because its drag-and-drop coding system makes it easy to get started, focusing on the fundamental concepts. In later courses, we teach Python, Java, Web Development, AP Computer Science A, and a training program for the USA Computing Olympiad. We even have Juni Jr. for students ages 5-7.

Other Options: Coding Apps and Coding Games

There are a number of coding apps and coding games that children can use to get familiar with coding material. While these don’t have the same results as learning with an instructor, they are a good place to start.

Code.org has been featured by Hour of Code, and it is used by public schools to teach introductory computer science. Code.org’s beginner modules use a visual block interface, while later modules use a text-based interface. Code.org has partnered with Minecraft and Star Wars, often yielding themed projects.

Codeacademy is aimed at older students who are interested in learning text-based languages. Coding exercises are done in the browser, and have automatic accuracy-checking. This closed platform approach prevents students from the full experience of creating their own software, but the curriculum map is well thought out.

Khan Academy is an online learning platform, designed to provide free education to anyone on the internet. Khan Academy has published a series on computer science, which teaches JavaScript basics, HTML, CSS, and more. There are video lessons on a number of topics, from web page design to 2D game design. Many of the tutorials have written instructions rather than videos, making them better suited for high school students.

What is the best age to start learning to code?

Students as young as 5 years old can start learning how to code. At this age, we focus on basic problem solving and logic, while introducing foundational concepts like loops and conditionals. It is taught using kid-friendly content that is interesting as well as projects that involve creativity and an interface that isn’t as syntax-heavy. At ages 5-10, students are typically learning how to code using visual block-based interfaces.

What are the best programming languages for kids?

With young students (and even older students), a good place to start building programming skills is a visual block-based interface, such as Scratch. This allows students to learn how to think through a program and form and code logical steps to achieve a goal without having to learn syntax (i.e. worrying about spelling, punctuation, and indentation) at the same time.

When deciding on text-based languages, allow your child’s interests to guide you. For example, if your child is interested in creating a website, a good language to learn would be HTML. If they want to code up a game, they could learn Python or Java.

What kind of computer does my child need to learn to code?

This depends on your child’s interests, your budget, and the approach you would like to take. Many online coding platforms, like repl.it, are web-based and only require a high-speed internet connection. Web-based platforms do not require computers with much processing power, which means that they can be run on nearly any computer manufactured within the last few years. Higher-level programming using professional tools requires a Mac, PC, or Linux with a recommended 4G of RAM along with a high-speed internet connection.

Why should kids learn to code?

Reason 1: Learning to code builds resilience and creativity

Coding is all about the process, not the outcome.

The process of building software involves planning, testing, debugging, and iterating. The nature of coding involves checking things, piece by piece, and making small improvements until the product matches the vision. It’s okay if coders don’t get things right on the first attempt. Even stellar software engineers don’t get things right on the first try! Coding creates a safe environment for making mistakes and trying again.

Coding also allows students to stretch their imagination and build things that they use every day. Instead of just playing someone else’s video game, what if they could build a game of their own? Coding opens the doors to endless possibilities.

Reason 2: Learning to code gives kids the skills they need to bring their ideas to life

Coding isn’t about rote memorization or simple right or wrong answers. It’s about problem-solving. The beautiful thing about learning to problem solve is, once you learn it, you’re able to apply it across any discipline, from engineering to building a business.

Obviously students who learn computer science are able to build amazing video games, apps, and websites. But many students report that learning computer science has boosted their performance in their other subjects, as well. Computer science has clear ties to math, and has interdisciplinary connections to topics ranging from music to biology to language arts.

Learning computer science helps develop computational thinking. Students learn how to break down problems into manageable parts, observe patterns in data, identify how these patterns are generated, and develop the step-by-step instructions for solving those problems.

Reason 3: Learning to code prepares kids for the economy of the future

According to WIRED magazine, by 2020 there will be 1 million more computer science-related jobs than graduating students qualified to fill them. Computer science is becoming a fundamental part of many cross-disciplinary careers, including those in medicine, art, engineering, business, and law.

Many of the most innovative and interesting new companies are tackling traditional careers with new solutions using software. Software products have revolutionized industries, from travel (Kayak, AirBnB and Uber) to law (Rocket Lawyer and LegalZoom). Computing is becoming a cornerstone of products and services around the world, and getting a head start will give your child an added advantage.

Many leading CEOs and founders have built amazing companies after studying computer science. Just take a look at the founders of Google, Facebook, and Netflix!

Career Paths

Although computer science is a rigorous and scientific subject, it is also creative and collaborative. Though many computer scientists simply hold the title of Software Engineer or Software Developer, their scope of work is very interesting. Here is a look at some of the work that they do:

  • At Facebook, engineers built the first artificial intelligence that can beat professional poker players at 6-player poker.
  • At Microsoft, computer programmers built Seeing AI, an app that helps blind people read printed text from their smartphones.

Computer scientists also work as data scientists, who clean, analyze, and visualize large datasets. With more and more of our world being encoded as data in a server, this is a very important job. For example, the IRS uncovered $10 billion worth of tax fraud using advanced data analytics and detection algorithms. Programmers also work as video game developers. They specialize in building fun interactive games that reach millions of people around the world, from Fortnite to Minecraft.

All of these career paths and projects require cross-functional collaboration among industry professionals that have a background in programming, even if they hold different titles. Some of these people may be software engineers, data scientists, or video game designers, while others could be systems analysts, hardware engineers, or database administrators. The sky is the limit!

How can you get your kids started on any of these paths? By empowering them to code! Juni can help your kids get set up for a successful career in computer science and beyond. Our founders both worked at Google and developed Juni’s curriculum with real-world applications and careers in mind.

Coding for Kids is Important

Coding for kids is growing in popularity, as more and more families recognize coding as an important tool in the future job market. There is no “one-size-fits-all” for selecting a programming course for students. At Juni, our one-on-one classes allow instructors to tailor a course to meet a student’s specific needs. By learning how to code, your kids will not only pick up a new skill that is both fun and academic, but also gain confidence and learn important life skills that will serve them well in whatever career they choose.

This article originally appeared on junilearning.com

Top 10 technology trends to watch in the COVID-19 pandemic

  • The COVID-19 pandemic has accelerated 10 key technology trends, including digital payments, telehealth and robotics.
  • These technologies can help reduce the spread of the coronavirus while helping businesses stay open.
  • Technology can help make society more resilient in the face of pandemic and other threats.

During the COVID-19 pandemic, technologies are playing a crucial role in keeping our society functional in a time of lockdowns and quarantines. And these technologies may have a long-lasting impact beyond COVID-19.

Here are 10 technology trends that can help build a resilient society, as well as considerations about their effects on how we do business, how we trade, how we work, how we produce goods, how we learn, how we seek medical services and how we entertain ourselves.

1. Online Shopping and Robot Deliveries

In late 2002, the SARS outbreak led to a tremendous growth of both business-to-business and business-to-consumer online marketplace platforms in China.

Similarly, COVID-19 has transformed online shopping from a nice-to-have to a must-have around the world. Some bars in Beijing have even continued to offer happy hours through online orders and delivery.

Online shopping needs to be supported by a robust logistics system. In-person delivery is not virus-proof. Many delivery companies and restaurants in the US and China are launching contactless delivery services where goods are picked up and dropped off at a designated location instead of from or into the hands of a person. Chinese e-commerce giants are also ramping up their development of robot deliveries. However, before robot delivery services become prevalent, delivery companies need to establish clear protocols to safeguard the sanitary condition of delivered goods.

Robots can deliver food and goods without any human contact.Image: REUTERS/David Estrada

2. Digital and Contactless Payments

Cash might carry the virus, so central banks in China, US and South Korea have implemented various measures to ensure banknotes are clean before they go into circulation. Now, contactless digital payments, either in the form of cards or e-wallets, are the recommended payment method to avoid the spread of COVID-19. Digital payments enable people to make online purchases and payments of goods, services and even utility payments, as well as to receive stimulus funds faster.

Contactless digital payments can help reduce the spread of COVID-19 and keep business flowing.Image: REUTERS/Phil Noble

However, according to the World Bank, there are more than 1.7 billion unbanked people, who may not have easy access to digital payments. The availability of digital payments also relies on internet availability, devices and a network to convert cash into a digitalized format.

3. Remote Work (WFH)

Many companies have asked employees to work from home. Remote work is enabled by technologies including virtual private networks (VPNs), voice over internet protocols (VoIPs), virtual meetings, cloud technology, work collaboration tools and even facial recognition technologies that enable a person to appear before a virtual background to preserve the privacy of the home. In addition to preventing the spread of viruses, remote work also saves commute time and provides more flexibility.

Will COVID-19 make working from home the norm?Image: REUTERS/Adnan Abidi

Yet remote work also imposes challenges to employers and employees. Information security, privacy and timely tech support can be big issues, as revealed by recent class actions filed against Zoom. Remote work can also complicate labour law issues, such as those associated with providing a safe work environment and income tax issues. Employees may experience loneliness and lack of work-life balance. If remote work becomes more common after the COVID-19 pandemic, employers may decide to reduce lease costs and hire people from regions with cheaper labour costs.

Laws and regulations must be updated to accommodate remote work – and further psychological studies need to be conducted to understand the effect of remote work on people.

Employees rank collaboration and communication, loneliness and not being able to unplug their top struggles when working from home.Image: Buffer State of Remote Report 2020

Further, not all jobs can be done from home, which creates disparity. According to the US Bureau of Labor Statistics, about 25% of wage and salary workers worked from home at least occasionally from 2017 to 2018. Workers with college educations are at least five times more likely to have jobs that allow them to work from home compared with people with high school diplomas. Some professions, such as medical services and manufacturing, may not have the option at all. Policies with respect to data flows and taxation would need to be adjusted should the volume of cross-border digital services rise significantly.

4. Distance Learning

As of mid-April, 191 countries announced or implemented school or university closures, impacting 1.57 billion students. Many educational institutions started offering courses online to ensure education was not disrupted by quarantine measures. Technologies involved in distant learning are similar to those for remote work and also include virtual reality, augmented reality, 3D printing and artificial-intelligence-enabled robot teachers.

Even kindergarteners are learning from home – but will this trend create wider divides and increased pressure on parents?Image: REUTERS/Joy Malone

Concerns about distance learning include the possibility the technologies could create a wider divide in terms of digital readiness and income level. Distance learning could also create economic pressure on parents – more often women – who need to stay home to watch their children and may face decreased productivity at work.

5. Telehealth

Telehealth can be an effective way to contain the spread of COVID-19 while still providing essential primary care. Wearable personal IoT devices can track vital signs. Chatbots can make initial diagnoses based on symptoms identified by patients.

Telehealth utilization has grown during the COVID-19 pandemic.Image: eClinicalWorks’ healow

However, in countries where medical costs are high, it’s important to ensure telehealth will be covered by insurance. Telehealth also requires a certain level of tech literacy to operate, as well as a good internet connection. And as medical services are one of the most heavily regulated businesses, doctors typically can only provide medical care to patients who live in the same jurisdiction. Regulations, at the time they were written, may not have envisioned a world where telehealth would be available.

6. Online Entertainment

Although quarantine measures have reduced in-person interactions significantly, human creativity has brought the party online. Cloud raves and online streaming of concerts have gain traction around the world. Chinese film production companies also released films onlineMuseums and international heritage sites offer virtual tours. There has also been a surge of online gaming traffic since the outbreak.

Even dance instructors are taking their lessons online during the pandemic.Image: REUTERS/Mario Anzuoni

7. Supply Chain 4.0

The COVID-19 pandemic has created disruptions to the global supply chain. With distancing and quarantine orders, some factories are completely shut down. While demand for food and personal protective equipment soar, some countries have implemented different levels of export bans on those items. Heavy reliance on paper-based records, a lack of visibility on data and lack of diversity and flexibility have made existing supply chain system vulnerable to any pandemic.

Core technologies of the Fourth Industrial Revolution, such as Big Data, cloud computing, Internet-of-Things (“IoT”) and blockchain are building a more resilient supply chain management system for the future by enhancing the accuracy of data and encouraging data sharing.

8. 3D Printing

3D printing technology has been deployed to mitigate shocks to the supply chain and export bans on personal protective equipment. 3D printing offers flexibility in production: the same printer can produce different products based on different design files and materials, and simple parts can be made onsite quickly without requiring a lengthy procurement process and a long wait for the shipment to arrive.

Snorkels were converted into respirators thanks to 3D printing technology.Image: REUTERS/Ramzi Boudina

However, massive production using 3D printing faces a few obstacles. First, there may be intellectual property issues involved in producing parts that are protected by patent. Second, production of certain goods, such as surgical masks, is subject to regulatory approvals, which can take a long time to obtain. Other unsolved issues include how design files should be protected under patent regimes, the place of origin and impact on trade volumes and product liability associated with 3D printed products.

9. Robotics and Drones

COVID-19 makes the world realize how heavily we rely on human interactions to make things work. Labor intensive businesses, such as retail, food, manufacturing and logistics are the worst hit.

COVID-19 provided a strong push to rollout the usage of robots and research on robotics. In recent weeks, robots have been used to disinfect areas and to deliver food to those in quarantine. Drones have walked dogs and delivered items.

A robot helps doctors treat COVID-19 patients in hard-hit Italy.Image: REUTERS/Flavio Lo Scalzo

While there are some reports that predict many manufacturing jobs will be replaced by robots in the future, at the same time, new jobs will be created in the process. Policies must be in place to provide sufficient training and social welfare to the labour force to embrace the change.

10. 5G and Information and Communications Technology (ICT)

All the aforementioned technology trends rely on a stable, high-speed and affordable internet. While 5G has demonstrated its importance in remote monitoring and healthcare consultation, the rollout of 5G is delayed in Europe at the time when the technology may be needed the most. The adoption of 5G will increase the cost of compatible devices and the cost of data plans. Addressing these issues to ensure inclusive access to internet will continue to be a challenge as the 5G network expands globally.

COVID-19 shows that as the 5G network expands globally, we need to ensure inclusive access.Image: REUTERS/Toby Melville

The importance of digital readiness

COVID-19 has demonstrated the importance of digital readiness, which allows business and life to continue as usual – as much as possible – during pandemics. Building the necessary infrastructure to support a digitized world and stay current in the latest technology will be essential for any business or country to remain competitive in a post-COVID-19 world, as well as take a human-centred and inclusive approach to technology governance.

As the BBC points out, an estimated 200 million people will lose their jobs due to COVID-19. And the financial burden often falls on the most vulnerable in society. Digitization and pandemics have accelerated changes to jobs available to humans. How to mitigate the impact on the larger workforce and the most vulnerable is the issue across all industries and countries that deserves not only attention but also a timely and human-centred solution.

How to Install Appium on Mac OS in 3 Simple Steps

Automation testing is one of the essential tasks in Software testing. It allows automation testers to create a robust framework with an automation script, which can be run during functional or regression testing to save time as well as cost. There are various testing tools available for mobile app automation, but Appium is most widely used for test automation.

Here, we will learn how to install Appium on Mac OS in easy steps:

Setting up Mac OS for automation testing is a little difficult task if you are a new to Mac-based system. But if you are familiar with commands on the terminal, then it will be easy to complete the setup.

Install Java JDK latest version

First, download Java JDK from below path and install it (if you are using the same system for both automation and performance testing using JMeter then use JDK 8 or higher version of JDK, as they have more compatibilities).


Set Java Home Path using a terminal

Type below command on terminal:

open -e .bash_profile

It will open the bash profile in edit mode. Now you can edit Java_home, Android _home (for Android app automation, you need to install Android Studio from this link https://developer.android.com/studio/#mac-bundle before Android home setup) with below commands:

Copy these commands and set your own username and JDK version and paste on bash profile:

export JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.8.0_192.jdk/Contents/Home
export ANDROID_HOME=/Users/<username>/Library/Android/sdk
export PATH=$/Library/Java/JavaVirtualMachines/jdk1.8.0_192.jdk/Contents/Home/
export PATH=”/Users/ <username> /Library/Android/sdk/platform-tools”:$PATH

then save from File > Save and close the bash profile text editor.

Now, your Java and Android home environment variable has been set.

How to Install Appium on Mac OS in 3 Simple Steps

Step 1: Install all the pre-requisites for Appium

  1. Install the latest Xcode Desktop version.
  2. Install Xcode command line (use Command: Xcode-select –install)
  3. Install Homebrew with below command:

/usr/bin/ruby -e “$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)”

  1. brew install npm
  2. npm install carthage 
  3. npm install -g appium
  4. npm install appium-doctor -g
  5. Sudo gem install xcpretty
  6. brew install libimobiledevice –HEAD
  7. npm install -g ios-deploy

Step 2: Download Appium Desktop and install it

Now, download the latest Appium desktop version from the below link and install it.


And, here download Appium-mac-1.15.1.dmg and install.

Step 3: Setting up WebdriverAgent in XCode

This is a very important setup and needs to be done very carefully, otherwise, you will not be able to launch the Appium app.

(i) Open the terminal and go to WebDriverAgent folder within the Appium installation directory. It will be found at the below place:

Right click on Appium desktop > Contents /Resources/app/node_modules/Appium/node_modules/appium-xcuitest-driver/ WebDriverAgent

Now, run below two commands:

1) mkdir -p Resources/WebDriverAgent.bundle
2) ./Scripts/bootstrap.sh -d

(ii) Connect your iOS device with the system and open WebDriverAgent.xcodeproj in Xcode. For both the WebDriverAgentLib and WebDriverAgentRunner targets, select “Automatically manage signing” checkbox in the “General” tab, and then select your Development Team. This should also auto select Signing Certificate.

You need to provide Apple developer account credentials to select the team.

Xcode maybe fail to create a provisioning profile for the WebDriverAgentRunner, this needs manual change to the bundle id for the target. Go into the “Build Settings” tab, and change the “Product Bundle Identifier” from com.facebook.WebDriverAgentRunner to something unique that Xcode will accept: like – com.facebooksss.WebDriverAgentRunner.

Similarly, setup WebDriverAgentLib and Integration App in Xcode. Then run (build) integration app. To run the Integration App, Apple id is required, and it should be trusted on a real iPhone device from:

Settings > General > Device Management.

Here click on the Apple id to trust it.

Now close Xcode (end tasks pop up appears), and quit Xcode then run below test command with udid within WebDriverAgent destination on terminal:

xcodebuild -project WebDriverAgent.xcodeproj -scheme WebDriverAgentRunner -destination ‘id=<udid>’ test

If everything is properly set, then you will get terminal like this after running above command:

Test Suite ‘All tests’ started at 2019-10-23 15:49:12.585
Test Suite ‘WebDriverAgentRunner.xctest’ started at 2019-10-23 15:49:12.586
Test Suite ‘UITestingUITests’ started at 2019-10-23 15:49:12.587
Test Case ‘-[UITestingUITests testRunner]’ started.
t = 0.00s Start Test at 2019-10-23 15:49:12.588
t = 0.00s Set Up

Get <udid> by running $ios-deploy -c (before running this command, make sure iPhone is attached with USB and USB debugging is ON)

Launch Appium on Mac OS X

Now, open the Appium app from ‘Application’ and start the Appium Server.

After providing the desired capabilities in Appium Inspector, you can start the session. You can save this desired capability for next time for quick access.

By using the above steps, Click on ‘Start Session’ and this will start to install the app under test on the device and UI will be displayed in Appium Inspector, here you can find the locators and start writing automation test script.

What is If this app

IFTTT: Everything works better together

With more than 14 million registered users in 2018, IFTTT (If This Then That) is a mobile device application that lets the users create conditional commands by linking two existing apps. An app with a simple interface, IFTTT allows developers to build and publish their conditional statements using its technology. Popularly known as applets, conditional statements are triggered by changes that take place within other web services, such as Facebook, Gmail, Instagram, or Pinterest. Earlier, these apps were known as channels. IFTTT was launched in 2010 as a project by two co-founders Jesse Tane and Linden Tibbets.

The users and developers from across the globe had published 75 million applets and more than 5,000 active developers are responsible for building services on this platform. Talking about smart devices, IFTTT enables the connection between more than 600 apps and smart devices.

Link: (WebiOSAndroid)

How IFTTT work?

A user needs to get acquainted with the creation of applets to use this app. An applet refers to a trigger-to-action relationship responsible for performing a particular task. A user can also create an applet to receive personalized notifications when specific conditions are met. After activating an applet, the user need not remember the commands, as IFTTT handles everything. The user also can also turn an applet on or off and edit the settings. A simple example of an applet is, if it is 1:00 PM, then turn off the bedroom lights.

In 2017, IFTTT started offering a free option for developers to publish their apps. Earlier, the users were allowed to develop applets only for their personal use. After this significant announcement, the developers have been able to publish the applets that others can use. The individuals can also develop applets that can work on connected devices. It doesn’t matter if they own those devices.

The team at IFTTT reviews a service internally before it can be published. The developers can perform minor updates directly after the app has been published. The team repeats the review process if some significant changes are made, such as new actions or triggers or cloning of the service. The authentication mechanism supported by the app is OAuth2. As per the company’s official website, it might have other authentication methods in the future.

Delivering XaaS with IFTTT

Everything as a Service or XaaS is a business model that involves combining products with services. With this approach, the brands expect to connect with their consumers at a deeper model. IFTTT is considered one of the most effective platforms to do so. By connecting their products with IFTTT, the brands can generate useful insights and data. This will help in delivering proactive customer support.

Personalization of content offered through a particular product will also become more efficient if the companies use this platform strategically. The co-founder of IFTTT, Linden Tibbets, also mentioned that this app aids in connecting products with services while talking about how everything in the future will be a service.

Using IFTTT for business

There are several ways a company can enhance its processes using IFTTT. A popular applet lets a professional track his/her work hours. Even employers can use it to track the monthly performance of their staff.

The usability of project management software like Asana could be further expanded through the applets. For example, it’s possible to create a new task using a mobile widget. A project manager or an employee can also include finished tasks to a weekly email digest. Various marketers use multiple applets to:

  • Sync different social media platforms
  • Automatically respond to the new followers or someone who has tagged them
  • Save tweets with a particular type of content
  • Post RSS feeds to Twitter and Facebook automatically

There are plenty of other applets for small and medium businesses. The businesses can also create their own versions to meet a particular requirement of a department or process. By using paid services of IFTTT, the companies can connect their own technology with this app, something already achieved by brands like Domino’s Pizza, Facebook, and 550 other firms.

Machine Learning and other technologies used in IFTTT

Machine Learning: To enhance the experience of users, IFTTT offers complex Machine Learning techniques. The team depends on Apache Spark that runs of EC2 and uses S3 to detect abuses and recommend recipes. Now that we have learned how the company uses machine learning, let’s put our focus on whether users can utilize this technology through IFTTT.

The users who want to integrate a Machine Learning model with IFTTT can do using a platform by MateLabs called MateVerse. Using this integration, users can use tools that can respond to online tools like Facebook, Google Drive, Slack, and Twitter. The users can train their own models for particular use cases after uploading their data.

Monitoring and alerting: The company depends on Elasticsearch to store API events for real-time monitoring and alerting. The performance of partner APIs and worker processes is visualized using Kibana. When the API of IFTTT partners is facing issues, a particular channel is triggered known as the Developer Channel. Using this channel, it is possible to create recipes that notify them using Email, Slack, SMS, or other preferred action channels.

Behavior performance: The engineering team currently uses three sources of data to understand user behavior and app performance.

MySQL Cluster: MySQL cluster on AWS RDS (Relational Database Service) is responsible for maintaining the current state of channels, recipes, users, and other primary application entities. The company’s official website and mobile applications run on a Rails application. By utilizing the AWS Data Pipeline, the company exports the data to S3 and ingests into Redshift daily.

The team feeds event data using users’ interactions with IFTTT products. The data is fed into its Kafka cluster from Rails application. The information related to the API requests made the workers are also collected regularly. The aim is to track the behavior of myriad partner APIs that the app connects to.

Why IFTTT become so successful?

Numerous factors contribute to the success of this revolutionary app. Some of these include:

Early mover advantage: The developers behind this app had an early mover advantage related to this technology. Before this app, there was hardly any startup or renowned organization that had designed something that connects two already existing apps.

Expansion of the ecosystem: One of the top-secret sauces behind its success is that it didn’t focus on competing with countless other apps on the app stores. Instead, it improved the usability of already existing apps, thereby making it a symbiotic technology.

Simplified the users’ lives: The automation that lies at the core of this app made the lives of the users simpler. While some apps aid in enhancing the users’ knowledge, others made them more accountable for schedules.

Investments: Strategic investments from renowned players have also been instrumental in its global success. During its Series C funding round in 2017, it raised 24 million dollars from Salesforce. In the past, investors like Greylock, Betaworks, SV Angels, Norwest, and NEA have helped it achieve its potential.

Simple user interface: The company has kept the interface clean and straightforward. When a user opens up the app, he/she is welcomed by an animation showing connected devices and other features. There are two main options through which the users can register or sign in through Google and Facebook.

There is also ‘Sign in with email’ option. Due to its minimalist design, even the non-techie individuals can use this app seamlessly. There is also a search option that helps in discovering services that this app supports.

What’s next for IFTTT?

As the Internet of Things (IoT) will become a mainstream thing in the future, IFTTT will penetrate in more regions across the globe. It is also expected to associate with more apps to ease up the lives of the users. The company needs to keep enhancing their technology to compete with other players, especially Flow by Microsoft.

Recently, IFTTT and iRobot partnered for smart home integrations at CES 2020.

Competitors of IFTTT

One of the prominent competitors of IFTTT is Zapier. IFTTT supports around 630 apps, whereas the number is 1000 in the case of Zapier. IFTTT is inclined towards home (smart appliance support), but Zapier revolves around business and software development.

In terms of usage, both services are comparable in terms of ease of use. Various beginners consider IFTTT more accessible. Talking about Zapier, it offers more options to build application relationships, due to which advanced users prefer it. IFTTT is a preferred option if we are talking in terms of pricing. Other popular alternatives include IntegromatAnypoint Platform, and Mule ESB.


IFTTT is amazing App! 

Top Cybersecurity Trends

As we are already in 2020, it’s obvious to think about what the future has in store for us. From a cybersecurity viewpoint, there are a lot of concerns to be answered. 

How cybersecurity will behave this year and what risks will come to the surface? 

Will attackers capitalize on new tools like AI and biometrics or will they focus on utilizing traditional systems in new ways? What will shape cybersecurity in 2020 and beyond? 

By reviewing the cybersecurity happenings over the past couple of years, it is somehow possible to predict the things in cyber scenarios over the next 12 months. 

From cybersecurity staff shortages to the AI’s role in cybersecurity, let’s have a quick look at key cybersecurity trends that are likely to define the digital landscape in 2020. 

The Cybersecurity Talents Gap:

The tech industry is going through cybersecurity talent crises, even though security teams have to face more risks than ever. 

Various studies have found that the shortage of skilled cybersecurity workforce is expected to hit 3.4 million unfilled positions by 2021, up from the current level of 2.93 million, with 500,000 of those vacancies in North America. This can worsen the problem, leading to possible data incidents not being investigated. Consequently, there will be a greater dependence on AI tools that can help organizations with fewer humans. 

Automated security tools such as digital threat management solutions are increasingly becoming important to safeguarding the data. Modern products can enable even a small team to protect their websites and web apps, ensuring a technological solution to persistent cybersecurity talent concerns. 

Starting of the New Cyber Cold War:

In 2017, American intelligence agencies confirmed the Russian government’s involvement in a campaign of hacking, fake news, data leaks to affect the American political process to benefit Donald Trump. 

This is how the cyber-game is played among powerful nations. And this has led to a new kind of war which is termed as a cyber-cold war. 

Cyber-attacks in smaller countries are reportedly sponsored by larger nations to establish their spheres of influence. 

Moreover, critical infrastructure continues to be on the radar of cyber-attacks, as seen in attacks on South African and US utility companies. Countries are required to ponder over their cyber defenses around their critical infrastructure.

Hackers to Exploit Misconfigurations:

Former Amazon Web Services employee Paige Thompson was found guilty of accessing the personal information of 106 million Capital One credit card applicants and clients as well as stealing information from over 30 other enterprises. Thompson was also accused of stealing multiple TB of data from a variety of companies and educational institutions. 

The investigators found that Thompson leveraged a firewall misconfiguration to access data in Capital One’s AWS storage, with a GitHub file containing code for some commands as well as information of over 700 folders of data. Those commands helped him get access to data stored in the folders over there. 

The point is here that human errors in the configuration process can provide an easy entry to the cyber-criminals. Therefore, hackers are looking to make the most of this security vulnerability. 

The Eminent Role of AI in Cybersecurity:

In 2016, AI was used to propagate fake news in the US elections. Special teams were used in a political campaign to create and spread fake stories to weaken the opponents. As we are gearing up for the 2020 elections, the use of AI is likely to take place once again. 

As AI continues to be a major tool for cyber-crime, it will also be utilized to speed up security responses. Most security solutions are based on an algorithm based on human intellect, but updating this against the sophisticated risks and across new technologies and devices is challenging to do manually. 

AI can be useful in threat detection and immediate security responses, helping to prevent attacks before they can do big damage. But it can’t be denied that cybercriminals are also leveraging the same technology to help them identify networks for vulnerabilities and create malware. 

Cloud Security to Remain a Top Concern:

Cloud technology has been gaining momentum among all businesses over the years. After all, it ensures flexibility, collaboration, sharing and accessing. Simply put, you can share and access data from any part of the world, especially if you are on the go. 

However, cloud technology is not immune to threats like data loss, leakage, privacy violation, and confidentiality. These threats will continue to plague cloud computing in 2020 too. No wonder the cloud security market is expected to hit $8.9 billion by 2020

The cloud threats are mainly caused by poor management by the clients, rather than the service provider. For example, you require a password to access a basic cloud service that is shared with you or created by you. In case of using a weaker password, you are making your cloud account vulnerable to cybercrimes. Keep in mind that detecting such flaws in your cloud usage is not a big deal for today’s sophisticated cybercriminals. Besides, sensitive information should be placed in a private cloud that is safer than a public cloud. 

State-Sponsored Cyber-attacks will Rock the World:

Advanced cyber-attacks sponsored by nation-state actors will have a profound impact. Cybercriminals who are unofficially backed by the state can unleash DDoS attacks, create high-profile data incidents, steal secrets and data, and silence some voices. As political tensions are increasing, these things are likely to go up—and managing security in such a scenario will require equally sophisticated solutions to detect and prevent vulnerabilities. 

Bottom Line:

Cyber incidents are on the rise. They will be even more malicious this year as hackers are looking for new ways to discover vulnerabilities. That’s why cybersecurity should be the topmost priority for organizations. Pondering over the new risks will help you better prepare. What do you think? Let me know by commenting below.

Real-Time Information Processing in the Age of IoT

By now, everyone ought to know what the Internet-of-Things (IoT) is and what it entails. IoT Analytics noted in 2018 that the number of connected devices in the world crossed seven billion and that the market was accelerating in its adoption []. However, having a connected device and being unable to garner information from that device’s data is counterintuitive. The age of IoT is upon us, and with it comes the need to understand how to tap into streaming data and make the most of it.

How Did We Get Here?

There is a trend in electronics to aim for smaller devices with lower power consumption while keeping the functionality of the item intact. Sensors were a part of commercial business for a long time, but they weren’t connected to each other. The sensor knew its data but was unaware of the world around it. Since 2012, two significant advancements have shifted the focus of sensors away from just knowing its own data and into sharing that data to other devices:

  • Communications Improved: Wireless network standards and connectivity rose to prominence. Improvements in communication technology have seen wireless networking change standards. Action Tec notes that today’s wireless routers on the 802.11ac standard are forty times faster than the first wireless routers to hit the market in 1999.
  • Sensors Got Better: manufacturing capabilities and technology made it possible to shrink sensors down to a microscopic size while retaining their functionality. The reduced size allowed them to find a home in unique places like shipping containers or clothing without having to worry about if they would get broken or damaged in transit.

The IoT still has a long way to go. However, with the promise of even more stable and secure network communication with the announcement of 5G, there’s a real possibility that more companies will adopt the IoT as a significant part of their data gathering and analytics.

Understanding Big Data in IoT Terms

When looking at the IoT, there’s something that might not immediately be evident. Considering a single IoT device in isolation can be misleading. In reality, a company’s IoT implementation might have hundreds, even thousands of embedded IoT devices, all communicating with each other and the central data store at the same time. The resulting data can be massive, and the industry has coined the term “Big Data” to refer to it. Many companies that have leveraged Big Data as a part of their IoT initiative still find it a hassle to process this data to achieve timely insights. Luckily, there’s another methodology for handling the massive amounts of incoming data from IoT deployments.

Introducing Streaming Data Processing

In May of 2019, Lightbend reported that IoT experienced a threefold increase in real-time processing compared to 2017. Streaming processing uniquely sees data differently from traditional methods. Traditionally, data processing is done on data sets by loading them into memory and doing operations on them to garner results. Streaming data isn’t stored, but as the information is collected and sent to the centralized server, it is processed in real-time, offering faster insights and a quicker rate of consumption of data.

Streaming analytics is how businesses take this incoming data stream and turn it into actionable results. Companies are beginning to realize the benefits of having data streams that can offer them in-depth knowledge about whatever their IoT devices are connected to. The Big Data approach is still valid, and companies that have invested a lot of time and effort into their Big Data infrastructure don’t need to replace it. Streaming analytics is just a complement to the existing methodology of data analysis.

How Does Streaming Analytics Work?

Appreciating streaming analytics requires breaking it down into its component parts to see precisely how this methodology achieves its goals. The basis of streaming analytics comes from a technology known as Event Stream Processing (ESP). ESP is a dedicated processing service that ingests streaming data as it appears before it goes into storage. Each IoT device would transmit their data at their own pace to the ESP system. The ESP would then take that data and run continuous queries on it in real-time. The results are then passed to a subscriber service, which distributes the results in a human-readable form or outputs a flag to sensors to update users.

How Can a Business benefit from Streaming Analytics?

There are evident benefits for implementing analytics that can offer real-time solutions to problems. Among these include:

  • Business Process Analysis: IoT devices are useful in keeping track of production quality and shipping. By utilizing real-time analytics, a business could determine methods of improving its process efficiency, and making its shipping system more customer-centric.
  • Dealing With Preventable Losses: IoT devices have already made their way into supply chains for several manufacturers. With real-time data updates, these companies can track the movement of stock and refine how they deliver products to different locations. Several inventory management systems already offer interfacing with IoT devices to keep a minimum available stock.
  • Competitive Advantage: Technology, if utilized correctly, can offer a competitive edge to a business. IoT data coming into a business can be used alongside streaming analytics to give insight into current trends as they happen. Businesses can pivot to deal with increased demand much faster than they do with batch-processed data, potentially giving them a leg-up on their direct competition.
  • Visualization of Data: Most executives within a business don’t see data the same way that data scientists do. Bridging that gap is essential to communicating those insights to people who can influence the company’s policies. Real-time processing enables executives to get access to insights at a much more rapid pace than collective or batch processing means. The more efficient production of these insights allows the company to respond to upcoming threats of opportunities that much faster.

The Future of Business Data Processing

Business data is dynamic, and because of this property, it sees companies changing and adapting their business processing model to meet new challenges within the space. Streaming analytics meshes well with the idea of IoT, but it isn’t the only thing for which companies can use streaming data. Sources of data might be things like social media updates or real-time sales data from the market. The potential for the technology is immense. If businesses want to benefit from the use of streaming analytics fully, they need to figure out in which data collection channel the methodology would perform the best.

Python Venture Thoughts for 2021 – Work on constant tasks to start your profession

In this article, we’ll explore Python venture thoughts from fledglings to cutting edge levels with the goal that you can achieve without much of a stretch to learn Python by for all intents and purposes actualizing your insight.

Python is the most utilized programming language on earth. Picking up Python information will be your best interest in 2021. In this way, on the off chance that you need to accomplish skills in Python than it is urgent to deal with some ongoing Python venture.

Only technical information or Knowledge of anything is of no utilization until or unless one switch to an ongoing project. In this article, We EdunBox.com is giving you Python venture thoughts from fledglings to cutting edge levels with the goal that you can achieve without much of a stretch learn Arcgis by for all intents and purposes actualizing your insight.

Venture-based learning is the most significant thing to improve your insight. That is the reason Edunbox.com is giving Python instructional exercises and Python ventures thoughts for novices, intermediates, just as, for specialists. Along these lines, you can likewise step up your programming abilities.

According to Stackoverflow!

“Python is the most preferred language which means that the majority of developers use python.”

We will talk about 200+ Python venture thoughts in our up and coming articles. They arranged as:

  • Python Venture Thoughts
  • Python Django (Web Improvement) Venture Thoughts
  • Python Game Development Venture Thoughts
  • Python Machine learning Venture Thoughts
  • Python AI Venture Thoughts
  • Python Data Science Venture Thoughts
  • Python Deep Learning Venture Thoughts
  • Python Computer Vision Venture Thoughts
  • Python Internet Of Things Venture Thoughts

Python Venture Thoughts – Basic & Essential

1. Number Speculating

Python Venture Thought – Make a program that arbitrarily picks a number to supposition. Afterward, the client will have a couple of opportunities to figure the number effectively. In each off-base endeavor, the PC will give an insight that the number is more noteworthy or littler than the one you have speculated.

2. Dice Rolling Simulator in Python

Python Venture Thought – The Dice Rolling Simulator system will emulate the experience of rolling dice. It will produce a random number until the client can play over and over to get a number from the shakers until the client chooses to stop the program.

3. Email Slicer

Python Venture Thought – The email slicer is a convenient program to get the username and area name from an email address. You can redo and make an impression on the client with this data.

4. Binary Search Algorithm

Python Venture Thought – The binary search algorithm is an efficient method to search for a component in a very long listing. The thought is to actualize the count that scans for an element in the list.

5. Notifier Application for Desktop

Python Venture Thought – A Desktop notifier application runs on your framework, and it will be utilized to send you warnings after each particular interim of time. You can use libraries like notify2, demands, and so on to manufacture this application.

6. Python Story Generator

Python Venture Thought – The venture will haphazardly make stories with a couple of customizations. You can request that clients input a couple of words like name, activity. So on and afterward, it will alter the narratives utilizing your words.

7. Youtube Recordings Downloader

Python Venture Thought – Another intriguing Venture is to cause a pleasant interface through which you can download youtube recordings in various configurations and video quality.

8. Python Site Blocker

Python Venture Thought – Assemble an application that can be utilized to obstruct specific sites from opening. It is an incredibly supportive program for understudies who need to concentrate on examines and don’t need some other interruptions like online life.

Python Venture Thoughts – Intermediate & InDemand

1. Python Calculator

Python Venture Thought – Construct a graphical UI mini-computer utilizing a library like Tkinter in which we fabricate to perform various activities and show results on the screen. You can additionally include functionalities for logical computations.

2. Clock Countdown and Timer Countdown clock and clock python venture

Python Venture Thought – You can fabricate a work area utilization of a commencement clock in which the client can set a timer. Afterward, when the time is finished, the application will tell the client that the time has ended. It’s a utility application for everyday life assignments.

3. Arbitrary Secret phrase Generator in Python

Python Venture Thought – Making a trustworthy secret phrase is a dreary errand. We can assemble an application to create robust passwords haphazardly that contain letters in order, characters, and digits. The client can likewise duplicate the secret phrase with the goal that they can legitimately glue it while making the site.

4. Arbitrary Wikipedia Article

Python Venture Thought – The venture is utilized to get an irregular article from Wikipedia. Afterward, we inquire as to whether he needs to peruse the article or not. On the off chance that the appropriate response is valid, at that point, we show the article else we get another arbitrary article.

5. Reddit Bot

Python Venture Thought – The Reddit is an incredible stage, and we can program a bot to screen subreddits. They can be robotized to spare a ton within recent memory, and we can give valuable data to the Redditors.

6. Python Order Line Application

Python Venture Thought – Python is incredible for building order line applications. You can manufacture a decent CLI interface through which you can send email to others. It will approach the client for qualifications and the information it needs to send. Afterward, we can send the info utilizing an order line.

7. Instagram Bot in Python

Python Venture Thought – The Instagram bot venture is made to mechanize a portion of the essential assignments like consequently loving, remarking, or following individuals. The recurrence must be low since sending unreasonable solicitations to Instagram servers may get you deactivated.

8. Steganography in Python

Python Venture Thought – Steganography is the craft of concealing a message into another structure with the end goal that nobody can associate the presence with the shrouded message. For instance, a message is covered up inside a picture or a video. The Venture will be valuable to shroud messages inside the photographs.

Python Venture Thoughts – Advanced & Futuristic 

1.Typing Speed Test in python

Python Venture Thought – The speed composing test is a task through which you can test your composing speed. You need to make a graphical UI with a GUI library like Tkinter. The client needs to type an irregular sentence. When the client finishes the composing, we show the composting rate, precision, and words every moment.

2. Content Aggregator

Python Venture Thought – There are heaps of data and articles on the web. Discovering great content is difficult, so a content aggregator naturally looked through the well-known sites, searches for meaningful content, and makes a rundown for you to peruse the content. The client can choose which content they need to look or not.

3. Mass Record Rename / Picture Resize Application

Python Venture Thought – AI Ventures incorporate preprocessing of the information. We will need to resize and rename images in bulk, so a program that can take care of these tasks will be quite helpful for machine learning practitioners.

4. Python File Explorer

Python Venture Thought – Create a file explorer and manager app through which you can investigate and learn more about the files on your system, handles, search, and copy-paste them to various places. This task will utilize a great deal of information on different ideas of Python for GIS programming language.

5. Plagiarism Checker in Python

Python Venture Thought – The thought behind this venture is to manufacture a GUI application that you can use to check for literary theft. To assemble this task, you have to utilize a characteristic language handling library alongside the Google search Programming interface that will bring top articles to you.

6. Web Crawler in Python

Python Venture Thought – A web crawler is a mechanized program content that peruses the internet, and it can look and store the substance of the website page. This procedure is called web creeping. The web crawlers like Google go through this procedure to discover to date data. Make a point to utilize the multithreading idea.

7. Music Player in Python

Python Venture Thought – Everybody appreciates tuning in to great music. You can have some good times while learning by building a music player application. The music player can likewise scan for the documents in catalogs and creating an intuitive interface would be a problematic errand that is best for cutting edge software engineers.

8. Value Examination Expansion

Python Venture Thought – This is a stunning task where you can analyze the costs of an item from different web sources. Much the same as on the Trivago site, we can look at the lodging costs. Likewise, we can think about the costs of an item on sites like Amazon, Snapdeal, Flipkart, and so forth and show the best offers.

9. Instagram Photograph Downloader

Python Venture Thought – The Instagram photograph downloader venture is utilized to download all the Instagram pictures of your companions. It will use your qualifications to get to your record and afterward search your companions to download their photographs.

Final thoughts

In this article, we have talked about Python venture thoughts covering all the three phases of developers. From the start, we have spoken about fundamental Venture thoughts for fledglings, including number speculating, dice moving test system, and so on. At that point, we have examined some all the more pleasant venture thoughts for intermediates, including a random secret word generator, Instagram bot, and so forth. At last, we have secured some propelled ventures for specialists, for example, content aggregators, speed composing tests, and so on.

Author’s Bio:

Name: – Kapil Sharma
Location: – Jaipur, Rajasthan, India
Designation: – Seo Executive

My Self Kapil Sharma serves as a Seo Executive in the leading Institute named Edunbox.com which provides ArcGis Training, there I handle all works related to SEO, SMO, SMM, Content Writing and Email Marketing, etc.

2021 Programming Trend Predictions

2021 is almost here, as crazy as that sounds. The year 2021 sounds like it’s derived from science fiction, yet here we are — about to knock on its front door.

If you’re curious about what the future might bring to the programming world, you’re in the right place. I might be completely wrong — don’t quote me on this— but here’s what I think will happen. I can’t predict the future, but I can make educated guesses.

The best way to predict your future is to create it.

Abraham Lincoln

Rust Will Become Mainstream

Rust- https://www.rust-lang.org/

Rust is a multi-paradigm system programming language focused on safety — especially safe concurrency. Rust is syntactically similar to C++, but it’s designed to provide better memory safety while maintaining high performance.

Source: Leftover Salad

We’ve seen four years of strong growth of the Rust programming language. I believe 2020 is the year Rust will officially become mainstream. What is mainstream is up for self-interpretation, but I believe schools will start introducing Rust to their curriculum. This will create a new wave of Rust engineers.

Most loved programming languages from the 2019 StackOverflow Survey.

Rust has proven itself to be a great language with a vibrant and active community. With Facebook building Libra on Rust — its the biggest project ever — we’re about to see what Rust is really made off.

If you’re looking to learn a new language, I would strongly recommend learning Rust. If you’re curious to learn more, I’d start learning Rust from this bookGo Rust!

GraphQL Adoption Will Continue to Grow

GraphQL Google Trends

As our applications grow in complexity, so do our data consumption needs. I’m a big fan of GraphQL, and I’ve used it many times. I think it’s a far superior solution to fetching data compared with a traditional REST API.

While typical REST APIs require loading from multiple URLs, GraphQL APIs get all the data your app needs in a single request.

GraphQL is used by teams of all sizes in many different environments and languages to power mobile apps, websites, and APIs.

Who’s using GraphQL

If you’re interested in learning GraphQL, check out this tutorial I wrote.

Progressive Web Apps Are a Force to Reckon With

Progressive Web Apps (PWA) is a new approach to building applications by combining the best features of the web with the top qualities of mobile apps.

Photo by Rami Al-zayat on Unsplash

There are way more web developers in the wild than native platform-specific developers. Once big companies realize that they can repurpose their web devs to make progressive web applications, I suspect that we’ll be seeing a huge wave of PWAs.

It will take a while for bigger companies to adapt, though, which is pretty normal for technology. The progressive part would generally fall towards the front end development since it’s mostly all about interacting with the Web Workers API (Native Browser API).

Web apps aren’t going anywhere. More people are catching onto the idea that writing a single cross-compatible PWA is less work and more money for your time.

PWA Google Trends

Today is a perfect day to start learning more about PWAs, start here.

Web Assembly Will See More Light

Web Assembly

WebAssembly (abbreviated Wasm) is a binary instruction format for a stack-based virtual machine. Wasm is designed as a portable target for compilation of high-level languages like C, C++, and Rust. Wasm also enables deployment on the web for client and server applications. PWAs can use wasm too.

In other words, Web Assembly is a way to bridge JavaScript technologies with more level technologies. Think of using a Rust image processing library in your React app. Web assembly allows you to do that.

Performance is key, and as the amount of data grows, it will be even harder to keep a good performance. That’s when low-level libraries from C++ or Rust come into play. We’ll see bigger companies adopting Web Assembly and snowball from there.

React Will Continue to Reign

Frontend JavaScript frontend libraries

React is by far the most popular JavaScript library for front end development, and for a good reason too. It’s fun and easy to build React apps. The React team and community have done a splendid job as far as the experience goes for building applications.

React — https://reactjs.org

I’ve worked with Vue, Angular, and React, and I think they’re all fantastic frameworks to work with. Remember, the goal of a library is to get stuff done, so focus less on the flavor, and more on the getting stuff done. It’s utterly unproductive to argue about what framework is the “best.” Pick a framework and channel all your energy into building stuff instead.

If you’re feeling inspired, pick something from this list and start building today!

Always Bet on JavaScript

We can say with confidence that 2010s was the decade of JavaScript. We’ve seen a massive spike of JavaScript growth, and it doesn’t seem to be slowing down.

Keep Betting On JavaScript By Kyle Simpson

JavaScript developers have been taking some abuse by being called “not real developers.” JavaScript is the heart of any big tech company, such as Netflix, Facebook, Google, and many more. Therefore, JavaScript as a language is as legitimate as any other programming language. Take pride in being a JavaScript developer. After all, some of the coolest and most innovative stuff has been built by the JavaScript community.

Almost all websites are leveraging JavaScript to some degree. How many websites are out there? Millions! New Upcoming JavaScript Features — 2019, 2020 and Beyond A peek into the future on what’s coming to the JavaScript languagemedium.com

It has never been a better time to be a JavaScript developer. Salaries are on the rise, the community is as alive as ever, and the job market is huge. If you’re curious to learn JavaScript, the “You Don’t Know JS” book series was a fantastic read.

Top languages over time

I wrote earlier on the subject of what makes JavaScript popular — you should probably read that too.

Top open source projects

TOP-Ranked Cryptocurrency Companies [List]

Bitcoin, Cryptocurrency, Ethereum, Finance, Financial Services, FinTech, Mobile, Personal Finance
☇ Menlo Park, California, United States
Robinhood is a stock brokerage that allows customers to buy and sell U.S. stocks, options, ETFs, and cryptocurrencies with zero commission.

Cryptocurrency, FinTech, Mobile, Software
☇ Brooklyn, New York, United States
ConsenSys builds, consults, and launches decentralized applications using Ethereum.

Banking, Blockchain, Cryptocurrency, Finance, Financial Services, FinTech, Payments, Personal Finance
☇ Boston, Massachusetts, United States
Circle is a global internet finance company, built on blockchain technology and powered by crypto assets.

Bitcoin, Blockchain, Cryptocurrency, E-Commerce, Ethereum, FinTech, Personal Finance, Virtual Currency
☇ San Francisco, California, United States
Coinbase is a digital currency wallet service that allows traders to buy and sell bitcoin.

Application Specific Integrated Circuit (ASIC), Bitcoin, Electronics, Manufacturing, Semiconductor
☇ Beijing, Beijing, China
Bitmain is a design and manufacture of high performance computing chips and software.

word2vec deep learning

Word2Vec — a baby step in Deep Learning but a giant leap towards Natural Language Processing

The traditional approach to NLP involved a lot of domain knowledge of linguistics itself. Understanding terms such as phonemes and morphemes were pretty standard as there are whole linguistic classes dedicated to their study. Let’s look at how traditional NLP would try to understand the following word.

Let’s say our goal is to gather some information about this word (characterize its sentiment, find its definition, etc). Using our domain knowledge of language, we can break up this word into 3 parts.

What RPA means?

Robotic process automation (RPA) is the use of software with artificial intelligence (AI) and machine learning capabilities to handle high-volume, repeatable tasks that previously required humans to perform. These tasks can include queries, calculations and maintenance of records and transactions.

source www.internetofthingsagenda.techtarget.com

Heroku vs. AWS: What to choose in 2021?

Do more with less.

Which PaaS Hosting to Choose?

In the process of elaborating a web project be it a pure API or a thoroughgoing web app, a product manager eventually comes to the point of choosing a hosting service.

Once the tech stack (Python vs. Ruby vs. Node.js vs. anything else) is defined, the software product needs a platform to be deployed and become available to the web world. Fortunately, the present day does not fall short of hosting providers, and everyone can pick the most applicable solution based on particular requirements.

At the same time, the abundance of digital server options is often a large stumbling block many startups can trip on. The first question that arises is what type of web hosting is needed. In this article, we decided to skip such shallow options as shared hosting and virtual private server, and also excluded the dedicated server availability. Our focus is cloud hosting which can serve as a proper project foundation and a tool for deploying, monitoring, and scaling the pipeline. Therefore, it’s worthwhile to review the two most famous representatives of cloud services namely Heroku vs. Amazon.

So let’s talk about popular arguments we can read about everywhere, the same arguments I’m hearing from my colleagues at work

Cloud hosting

Dedicated and shared hosting services are two extremes, from which cloud hosting is distinct. Its principal hallmark is the provision of digital resources on demand. It means you are not limited to capabilities of your physical server. If more processing power, RAM, memory, and so on are necessary, they can be scaled fast manually with a few clicks of a button, and even automatically (e.g., Heroku automatic scaling) depending on traffic spikes.

Meanwhile, the number of services and a type of virtual server architecture generate another classification of the host providing options depending on what users get – function, software, platform or an entire infrastructure. Serverless architecture, where the server is abstracted away, also falls under this category and has good chances of establishing itself in the industry over the next few years, as we suggested in our recent blog post. The options we’re going to review here are considered hosting platforms.

Platform as a service

This a cloud computing model features a platform for speedy and accurate app creation. You are released from tasks related to servers, virtualization, storage, and networking – the provider is responsible for them. Therefore, an app creator doesn’t have any worries related to operating systems, middleware, software updates, etc. PaaS is like a playground for web engineers who can enjoy a bunch of services out-of-the-box. Digital resources including CPU, RAM, and others are manageable via a visual administrative panel. The following short intro to the advantages and disadvantages of PaaS will be a good explanation of why this cloud hosting option has been popular lately.


The following reasons make PaaS attractive to companies regardless of their size:

  • Cost-efficiency (you are charged only for the amount of resources you use)
  • Provides plenty of assistance services
  • Dynamic scaling
  • Rapid testing and implementation of apps
  • Agile deployment
  • Emphasis on app development instead of supplementary tasks (maintain, upgrade, or support infrastructure)
  • Allows easy migration to the hybrid model
  • Integrated web services and databases


These items might cause you to doubt whether this is the option for you:

  • Information is stored off-site, which is not appropriate for certain types of businesses
  • Though the model is cost-efficient, do not expect a low budget solution. A good set of services may be quite pricey.
  • Reaction to security vulnerabilities is not particularly fast. For example, patches for Google Kubernetes clusters take 2-4 weeks to be applied. Some companies may deem this timeline unacceptable.

As a rule, the hosting providers reviewed herein stand out amid other PaaS options. The broad picture would be like Heroku vs. AWS vs. Google App Engine vs. Microsoft Azure, and so on. We took a look at this in our blog post on the best Node.js hosting services. Here we go.

Amazon Web Services (AWS)

Judging from the article’s title, the Heroku platform should have been the opener of our comparison. Nevertheless, we cannot neglect the standing and reputation of AWS. This provider can not boast an unlimited number of products, but they do have around one hundred. You can calculate the actual number on their product page if needed. However, the point is that AWS is holding not only the PaaS niche. The user’s capability to choose solutions for storage, analytics, migration, application integration and others lets us consider this provider as an infrastructure as a service. Meanwhile, the AWS’ opponent within this comparison cannot boast the same set of services. Therefore, it would only be fair to select the same weight class of competitor and reshape our comparison into Elastic Beanstalk vs. Heroku, since the former is the PaaS provided by Amazon. So, in the context of this article, AWS will be represented by Beanstalk.

Elastic Beanstalk

You can find this product in the ‘Compute’ tab on the AWS home page. Officially, Elastic Beanstalk is a product which allows to deploy web apps. It is appropriate for apps built in RoR, Python, Java, PHP, and other tech stacks. The deployment procedure is agile and automatized. The service carries out auto-scaling, capacity provisioning and other essential tasks for you. The infrastructure management can also be automated. Nevertheless, users are in control of resources leveraged to power the app.

Among the companies that chose this AWS product to host their products, you can encounter BMW, Speed 3D, Ebury, etc. Let’s see what features like Elastic Beanstalk pricing or manageability attract and repel users.

Pros & Cons

Easy to deploy an appImproved developer productivityA bunch of automated functionalities including the scaling, configuration, setup, and othersFull control over the resourcesManageable pricing – you manage your costs depending on the resources you leverageEasy integration with other AWS productsMedium learning curveDeployment speed may stretch up to 15 minutes per appLack of transparency (zero information on version upgrades, old app versions archiving, lack of documentation around stack)DevOps skills are required

In addition to this PaaS product, Amazon can boast an IaaS solution called Elastic Compute Cloud or EC2. It involves detailed delving into the configuration of server infrastructure, adding database instances, and other activities related to app deployment. At some point in your activities, you might be want to migrate to it from Beanstalk. It is important to mention that such migration can be done seamlessly, which is great!


In 2007, when this hosting provider just began its activities, Ruby on Rails was the only supported tech stack. After the lapse of over 10 years, Heroku has enhanced its scope and is now available for dealing with the apps built with Node.js, Python, Perl, and others. Meanwhile, it is a pure PaaS product which makes inappropriate to compare Heroku vs. EC2.

It’s a generally known fact that this provider rests on AWS servers. In this regard, do we really need to compare AWS vs. Heroku? We do, because this cloud-based solution differs from the products we mentioned above and has its own quirks to offer. These include over 180 add-ons – tools and services for developing, monitoring, testing, image processing, and cover other operations with your app, an ocean of buttons and buildpacks. The latter is especially useful for automation of the build processes for tech stacks. As for the big names that leverage Heroku, there are Toyota, Facebook, and GitHub.

Traditionally, we need to learn what benefits of Heroku you can experience and why you may dislike this hosting provider.

Pros & Cons

Easy to deploy an appImproved developer productivityFree tier is available (not only the service itself but also a bunch of add-ons are available for free)Auto-scaling is supportedA bunch of supportive toolsEasy setupBeginner and startup-friendlyShort learning curveRather expensive for large and high-traffic appsSlow deployment for larger appsLimited in types of instancesNot applicable for heavy-computing projects

Which is more popular – Heroku or AWS?

Heroku has been in the market four years longer than Elastic Beanstalk and has never lost in terms of popularity to this Amazon PaaS.

Meanwhile, the range of services provided by AWS has been growing in high gear. Its customers have more freedom of choice and flexibility to handle their needs. That resulted in a rapid increase in search interest starting from 2013 until today.

Heroku vs. AWS pricing through the Mailtrap example

Talking about pricing, it’s essential to note that Elastic Beanstalk does not require any additional charge. So, is it no charge? The answer is yes – the service itself is free. Nevertheless, the budget will be spent on the resources required for deploying and hosting your app. These include the EC2 instances that comprise different combinations of CPU, memory, storage, and networking capacity, S3 storage, and so on. As a trial version, all new users can opt for a free usage tier to deploy a low-traffic app.

With Heroku, there is no need to gather different services and set up your hosting plan as LEGO. You have to select a Heroku dyno (a lightweight Linux container prepacked with particular resources), database-as-a-service and support to scale resources depending on your app’s requirements. A free tier is also available, but you will be quite limited in resources with this option. Despite its simplicity of use, this cloud service provider is far from being cheap.

We haven’t mentioned any figures here because both services follow a customized approach to pricing. That means you pay for what you use and avoid wasting your money on unnecessary resources. On that account, costs will differ depending on the project. Nevertheless, Heroku is a great solution to start, but Amazon AWS pricing seems cheaper. Is it so in practice?

We decided to show you the probable difference in pricing for one of Railsware’s most famous products – Mailtrap. Our engineers agreed to disclose a bit of information regarding what AWS services are leveraged and how much they cost the company per month. Unfortunately, Heroku services are not as versatile as AWS, and some products like EC2 instances have no equivalent alternatives on the Heroku side. Nevertheless, we tried to find the most relevant options to make the comparison as precise as possible.

Cloud computing

At Mailtrap, we use a set of the on-demand Linux instances including m4.large, c5.xlarge, r4.2xlarge, and others. They differ in memory and CPU characteristics as well as prices. For example, c5.xlarge provides 8GiB of memory and 4 vCPU for $0.17 per hour. As for Heroku, there are only six dyno types with the most powerful one offering 14GB of memory. Therefore, we decided to pick the more or less identical instances and calculate their costs per month.

Cloud computingEC2 On-Demand Linux instances:t3.micro (1GiB) – $0.0104 per hour
$7.48 per montht3.small (2GiB) – $0.0208 per hour
$14.98 per monthc5.2xlarge (16GiB) – $0.34 per hour
$244.8 per month
Dyno:standard-2x (1024MB)
$50.00 per month performance-m (2.5GB)
$250.00 per month performance-l (14GB)
$500.00 per month

The computing cloud costs for Mailtrap per month are almost $2,000 based on eight different AWS instances with the memory characteristics from 4GiB to 122 GiB, the costs for Elastic Load Balancing, and Data Transfer. Even if we chose the largest Heroku dyno, Performance-l, the costs would amount to $4,000 per month! It is important also to mention that Heroku cannot satisfy the need for heavy-computing capacity because the largest dyno is limited to 14GB of RAM.


For the database-related purposes, both hosting providers offer powerful suite of tools – Relational Database Service (RDS) for PostgreSQL and Heroku Postgres correspondingly. We picked two almost equal instances to show you the price difference.

DatabaseRDS for PostgreSQL:
db.r4.xlarge (30.5 GiB) – $0.48 per hour
$345.6 per month
EBS Provisioned IOPS SSD (io1) volumes – $0.125 per GB 
$439.35 per month (at the rate of 750GB storage)
Heroku Postgres:
Standard 4 (30 GB RAM, 750 GB storage)
$750.00 per month

In-memory data store

Both providers offer managed solutions to seamlessly deploy, run, and scale in-memory data stores. Everything is simple to compare. We took an ElastiCache instance used at Mailtrap and set it against the most relevant solution by Heroku Redis. Here is what we’ve got.

In-memory storage (i.e., cache)ElastiCache:
cache.r4.large (12.3 GiB) – $0.228 per hour
$164.16 per month
Heroku Redis:
Premium-9 (10GB)
$1,450.00 per month

In addition to RDS instance, you will have to choose an Elastic Block Store (EBS) option, which refers to HDD or SSD volume. At Mailtrap, the EBS costs are almost $600 per month.

Main storage

As the main storage for files, backups, etc., Heroku has nothing to offer, and they recommend using Amazon S3. You can make the integration between S3 and Heroku seamless thanks to using an add-on like Bucketeer. In this case, the main storage costs will be equal for both PaaS (except for the fact that you’ll have to pay for the chosen add-on on Heroku). At Mailtrap, we use a Standard Storage instance “First 50 TB / Month – $0.023 per GB”, as well as instances “PUT, COPY, POST, or LIST Requests – $0.005 per 1,000” and “GET, SELECT and all other Requests – $0.0004 per 1,000”. All in all, the costs are a bit more than $800 per month.

Data streaming

Though this point has no relation to Mailtrap hosting, we decided to show the options provided by AWS and Heroku in terms of real-time data streaming. Amazon can boast of Kinesis Data Streams (KDS), and Heroku has Apache Kafka. The latter is simple to calculate since you need to choose one of the options available (basic, standard or extended) depending on the required capacity. With KDS, you’ll have to either rack your brains or leverage Simple Monthly Calculator. That’s what we’ve got for 4MB/sec data input.

Data streaming servicesKDS:
4 shard hours – $0.015 per hour
527.04 million PUT Payload Units – $0.014 per 1,000,000 units
$50.58 per month
Apache Kafka:
$175 per month


Heroku offers three support options – Standard, Premium, and Enterprise. The former is free, while the price for the latter two starts from $1,000. As for AWS, there are four support plans – Basic, Developer, Business, and Enterprise. The Basic one is provided to all customers, while the price for the others is calculated according to AWS usage for a particular amount of costs. For example, if you spend $5,000 on Amazon products, the price for support will be $500.

Total Cost

Now, let’s sum up all the expenses and see how much we would have paid if Mailtrap was hosted on Heroku.

Cloud computing
In-memory data store
Main storage

These figures are rough, but they fairly present the idea that less haste with infrastructure management is rather pricey. Heroku gives you more time to focus on app creation but drains purse. AWS offers a variety of options and solutions to manage your hosting infrastructure and definitely saves the budget.

Comparison table

Below we compared the most relevant points of the two cloud hosting providers.

PaaSAWS Elastic BeanstalkHeroku
ServersProprietaryAWS servers
Programming language supportRuby
Key featuresAWS Service Integration
Capacity Provisioning
Load Balancing
App Health Dashboard
Automatic update
App metrics
Heroku runtime
Heroku PostgreSQL
Data clips
Heroku Redis
App metrics
Code and data rollback
Smart containers (dynos)
Continuous delivery
Full GitHub Integration
Management & monitoring toolsManagement Console
Command Line Interface (AWS CLI)
Visual Studio
Command Line
Application Metrics
Featured customersBMW, Samsung Business, GeoNetToyota, Thinking Capital, Zenrez

Why use Heroku web hosting

In practice, this hosting provider offers a lot of benefits like a lightning-fast server set up (using the command line, you can make it within 10 sec), easy deployment with Git Push, a plethora of add-ons to optimize the work, and versatile auxiliary tools like Redis and Docker. A free tier is also a good option for those who want to try or experiment with cloud computing. Moreover, since January 2017, auto-scaling has been available for web dynos.

It’s undisputed that Heroku cloud is great for beginners. Moreover, it may be good for low-budget projects due to the lack of DevOps costs needed to set up the infrastructure (and potentially hire someone to do this). However, many startups choose this provider as a launching pad due to its supreme simplicity in operation.

Why choose Amazon Web Services

This solution is more attractive in terms of cost-efficiency. At the same time, it loses out as for usability. Users can enjoy a tremendous amount of features and products for web hosting provided by Amazon. It’s easy to set up and deploy, and definitely provides everything that Heroku does but for less money. However, Elastic Beanstalk is not as easy-to-use as its direct competitor.

Numerous supplementary products like AWS Lightsail, which was described in our blog post dedicated to Ruby on Rails hosting providers, Lambda, EC2, and others let you enhance your app hosting options and control your cloud infrastructure. At the same time, they usually require DevOps skills to use them.

The Verdict

So, which provider is worth your while – Heroku servers that are attractive in terms of usability and beginner-friendliness or AWS products that are cheaper but more intricate in use?

Heroku is the option for:AWS is the option for:
– startups those who prioritize time over money;
– those who prefer dealing with creating an app rather than devoting yourself to infrastructure mundane tasks;
– those whose goal is to deploy and test an MVP;
– products needed to be constantly updated;
– those who do not plan to spend money on hiring DevOps engineers.
– those who have already worked with Amazon web products;
– those who want to avoid numerous tasks related to app deployment;
– those whose goal is to build a flexible infrastructure;
– those who have strong DevOps skills or ready to hire the corresponding professionals;
– projects requiring huge computing power.

What is the Difference: CPLD vs FPGA?

One of the most consistently brought up questions among young engineers and FPGA beginners is whether they should use FPGA or CPLD. These are two different logic devices that have a different set of characteristics that set them apart from one another. So, let us settle this debate once and for all and clear the air: what is the difference between FPGA vs. CPLD?

FPGA Overview

FPGA stands for Field Programmable Gate Array. It is a programmable logic device that harbors a complex architecture that allows them to have a high logic capacity, making them ideal for high gate count designs such as server application, video encoders/decoders. Due to the fact that FPGA consist of large number of gates the internal delays in this chip are sometimes unpredictable.

CPLD Overview

CPLD stands for Complex Programmable Logic Device. It is a programmable logic device that is based on Electrically Erasable Programmable Read Only Memory or EEPROM, has a comparatively less complex architecture as compared to FPGA, and is much more suitable in small gate count designs such as glue-logic.

So let’s talk about popular arguments we can read about everywhere, the same arguments I’m hearing from my colleagues at work


FPGA logic chips can be considered to be a number of logic blocks consisting of gate arrays which are connected through programmable interconnects. Such a design allows the engineer to execute complex circuits and develop flexible designs thanks to the great capacity of the chip. On the other hand, CPLD use macrocells and are only able to connect signals to neighboring logic blocks, making them less flexible and less suited to execute complicated applications. This is why they are also used mostly used as glue-logic.

Since CPLD only contains a limited number of logic blocks as opposed to FPGA whose logic block count can reach to up to a 100,000, a large number compared to the maximum 100 block limit of the former, it is generally used for simpler applications and implementations. Their smaller capacity also makes them cheaper as a whole. FPGA logic chips may be cheaper on a gate by gate basis, but tend to become more expensive when considered as a package.

As mentioned before, CPLDs use EEPROMs and hence can be operated as soon as they are powered up. FPGA are RAM based, meaning they have to download the data for configuration from an external memory source and set it up before it can begin to operate, and thereafter the FPGA goes blank after power down. This feature also makes FPGAs volatile as their RAM based configuration data is available and readable by external source, as opposed to the CPLD chips which retain the programmed data internally.

On the other hand, circuit modification is simpler and more convenient with FPGAs as the circuit can be changed even while the device is running through a process called partial reconfiguration, whereas in order to change or modify design functionality, a CPLD device must be powered down and reprogrammed.


For a networking system that transfers massive data from one end to the other end, and FPGA could be used to analyzing the data going through the system, packet by packet and informing the main CPU about various statistics such as: number of packets, number of voice or video packets etc. While in the same system, perhaps in the CPU circuitry an CPLD and act as an interrupt controller or as and GPIO controller.

The following table summarizes the difference between CPLD vs. FPGA.

Why Java Programming is so Popular in 2021?

Any programmer will confirm to you that Java is by far the best programming language to have ever been created. Who can argue against that fact when almost all Fortune 500 companies give it thumbs up?

Java programming is both user-friendly and flexible, making it the obvious go-to programming language for web app developers and program management experts. By flexibility, in this case, we mean that an application developed in its coding system can run consistently on any operating system, regardless of the OS in which it was initially developed. Whether you need a language to help you with numerical computing, mobile computing, or desktop computing, Java has got you covered.

Is Java easy to learn?

Read quora options https://www.quora.com/Is-Java-easy-to-learn


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There are many programming languages out there, but Java beats them all in terms of popularity. There definitely must be a reason why it has gained so much popularity in the recent past, without mentioning how well it has shaken off competition for almost two and a half decades now. So, the million-dollar question remains: 

Why Java is the Most Popular Programming Language?

 1.      Its codes are easy to understand and troubleshoot

Part of why Java has grown tremendously over the years is because of being object-oriented. Simply put, an object-oriented coding language makes software design simpler by breaking the execution process down to small, easy-to-process chunks. Complex coding problems that are associated with C and C++, among other languages, are hard to encounter when programming in Java. On top of that, object-oriented languages such as Java provide programmers with greater modularity and an easy to understand pragmatic approach.

2.      JRE makes Java independent

JRE (Java Runtime Environment) is the reason why Java can run consistently across platforms. All a programmer needs to do is install JRE to a computer and all of his Java programs will be good to go, where they were developed at notwithstanding.

On top of running smoothly on computers- Macs, Linux, or even Windows, JRE is also compatible with mobile phones. That is the independence and flexibility that a programmer needs from a coding language in order to grow his/her career, especially if he/she is a newbie.

3.      It is easy to reuse common codes in Java

Everyone hates duplication and overlapping of roles, and so does Java. That is why this coding language developed a feature known as Java objects that allows a programmer to reuse common codes whenever applicable instead of rewriting the same code over and over again. The common attributes between two objects within a class are shared so that the developer can focus entirely on developing the different, uncommon attributes. This form of code inheritance makes coding simple, fast, and inexpensive.

4.      Java API makes Java versatile

Java API provides programmers with thousands of classes and about 50 keywords to work with. It also allows programmers to use coding methods that run to tens of thousands. That makes Java versatile and accommodative to as many coding ideas a programmer could have. That is not all; Java API isn’t too complex for a newbie to master and all one needs to get started is to learn a portion of it. Once you are able to comfortably work with the utility functions of Java, you can learn everything else on the job.

5.      Java allows you to run a program across servers

When coding for a huge organization that uses a network of computers, the greatest challenge is to sync all computers so that a program runs seamlessly on each of them. With Java’s PATH and CLASSPATH, however, you don’t have to worry about the distribution of a program across multiple servers.

6.      Java programming is adaptable, strong, and stable

Because you can run Java both on computers and mobile devices, it’s true to say that the language’s dialect is universally adaptable. On the other hand, you can run Java both on a large and small scale, meaning that its codes are strong and stable. And as we mentioned, there aren’t any limitations with Java; you can even develop translation software using this language. For the best results, however, it is always wise to work closely with a professional translation service provider.

7.      Powerful source code editor

Java’s source code editor is the Integrated Development Environment, which does not only enable programmers to write code faster and easier, but that also comes with an automated, in-built debugger feature.

In conclusion

If you ever need help with Java programming, there are companies that offer java outsourcing services to all types of organizations. Such companies make program and application development affordable.