Key tips for Successful AWS Cloud Migration

AWS cloud migration process

Amazon Web Services is a leading cloud computing service providing services for storing and analyzing data from cloud computing systems and devices. It offers scalable cloud computing environments for businesses to deploy. Migration is no easy job. The articles present Amazon’s basic framework for migration, describing basic migration steps relevant to all AWS migration projects.

The AWS migration consulting service is part of the AWS migration Program, which assists businesses in identifying and selecting the world’s best APN Partners with proven technical expertise and client success in specialized solution areas.

Migrate your application workloads

AWS is an excellent platform for Windows applications today and in the future. The company expects to generate an average annual revenue of 444% from Windows on the Amazon Web Services platform. SAP has been providing software integration to SAP Landscapes since 2011. AWS supports most types of instances in Cloud for a variety of different applications. VMware has partnered with AWS to develop and deliver VMware cloud-based workload solutions.

AWS Cloud Migration Phases

Amazon’s cloud migration plan covers five stages. Stage 2: Migration preparation and business planning. Create business cases for Amazon migration and define your goals. How can I improve my business processes? Determine a specific application to migrate to the cloud using this strategy. Phase 1: Developing plans.

AWS migration solutions

Our migration solution focuses all aspects of the process, technology and finances to ensure that your projects achieve the desired results for the organization.

– Migration Methodology

Moving millions of data and applications into the cloud requires a progressively oriented approach which includes evaluation readiness planning, migration and operational steps with all phases extending from the previous. AWS’pre-scriptive guides provide the method and techniques for each step of your migration journey.

– AWS Managed Services

AWS managed services (AMS) provides e-commerce and business-grade infrastructure that allows migration of manufacturing workloads within days. For compliance, AMS only updates the required applications for security reasons. AMS takes charge of running the cloud environment.

– AWS Migration Competency Partners

AWS migration expertise partner can assist you with completing migration faster. Global systems integrators and regional partners demonstrate successfully completion of multiple big migrations to AWS to gain migration competency partnership status.

– AWS Migration Acceleration Program

The Accelerated Migration Program at AWS (MAP) aims to improve efficiency of the organization’s operations by leveraging a comprehensive migration platform, with the investment to reduce the cost of migration to a new location.

– AWS Training and Certification

The AWS Training Team has the knowledge and expertise needed for cloud development for organizations. Cloud adoption of new technologies will be as fast as 20% if you employ a highly skilled workforce.

Why should I migrate to AWS Cloud?

Several enterprises that have moved into Amazon Web Services have reported that their IT infrastructure is undergoing a 36% upgrade.

Faster time to business results

Automating and data-oriented guidance helps simplify migration and decreases time and complexity. So a faster migration will reduce time to realize value in cloud migration. Ebooks: Maximize business value by using cloud technology for e-commerce.

Migration to AWS: 5 challenges and solutions

Migration to AWS can be a complicated process with many challenges. Here is one of the most common problems.

Plan for security

Challenge: Cloud environment security is not as secure as in-house environment and its security characteristics are very distinct. The potential risk is that the existing technologies will no longer work in a security vacuum when application migration from the cloud to the offsite.

Solution: Identify the security requirements for the application you are moving and ensure that the application meets the corresponding security standards. Find solutions for security issues on the AWS platform similar to the one you have on-premise.

Moving On-Premise Data and Managing Storage on AWS

How can you migrate data to the cloud?

Solution: AWS Direct connect provides a solution that can support enterprise applications that can provide highly reliable and dedicated Internet connectivity from the public clouds to their virtual premise. It also allows a synchronized workflow with an e-commerce site that gives users centralised visibility. CloudWatch can be utilized to remove impact from user migration. CloudWatch detects performance problems immediately and resolves them without users being affected.

Resilience for computation and network resources

Challenge:

Your application should be highly available to users on AWS. In cloud instances the application cannot be kept forever. A secondary requirement is enabling reliable connectivity — ensuring the availability of all the resources in a cloud.

Solution:

In calculation you can select reserved instances that will help you maintain your machine instance. Replications or using services managing deployment or availability such as Elastic Beanstalk are available for download on the web.

How do I manage my costs?

Several organizations have been moving to a cloud environment without identifying specific KPIs for how much money the cloud can cost. At the same time, the question can be answered whether the move was successful in the economic sense.

A cloud environment is very dynamic – the cost may change rapidly as you adopt services or scale your application. Solution Before moving, create an objective business plan and understand the value of your cloud migration to another cloud service.

Log Analysis and Metric Collection

Challenge: After migrating to AWS you can have an extremely responsive and dynamic system. Earlier methods for logging your software may not be applicable. The centralization of data would be essential to analyze log files on computers that were shut down yesterday.

Problem: Ensure the data is stored in a central place in the system to allow a central view of a log file. Utilize Amazon CloudWatch for centralized logging with Amazon CloudWatch Lambdas & Cognito.

What are the three phases of AWS cloud migration?

AWS tries to manage large migration processes by assessing, mobilizing, and deploying migration. Each phase builds upon previous phases. This prescriptive guidance plan covers the assessment phase as well as the mobilization phase.

What is If this app

IFTTT: Everything works better together

IFTTT (If This Then That) is a mobile device application that allows users to construct conditional instructions by combining two existing apps. It has over 14 million registered users as of 2018. IFTTT is a simple-to-use tool that lets developers create and publish 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: (WebiOS and Android)

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

IFTTT can help a firm improve its procedures in a variety of ways. A widely used applet allows a professional to keep track of his or her working hours. Employers can use it to keep track of their employees’ monthly performance.

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. 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.

Summary

IFTTT is amazing App! 

Tabular Data: What is and How Preparing

What is tabular data

The term “tabular” refers to data that is displayed in columns or tables, which can be created by most BI tools. These tools find relationships between data entries in one or more database, then use those relationships to display the information in a table.

How Data Can Be Displayed in a Table

Data can be summarized in a tabular format in various ways for different use cases.

The most basic form of a table is one that just displays all the rows of a data set. This can be done without any BI tools, and often does not reveal much information. However, it is helpful when looking at specific data entries. In this type of table, there are multiple columns, and each row correlates to one data entry. For example, if a table has a column called “NAME” and a column called “GENDER,” then each of the rows would contain the name of a person and their gender.

Tables can become more intricate and detailed when BI tools get involved. In this case, data can be aggregated to show average, sum, count, max, or min, then displayed in a table with correlating variables. For example, without a BI tool you could have a simple table with columns called “NAME,” “GENDER,” and “SALARY,” but you would only be able to see the individual genders and salaries for each person. With data aggregation from using a BI tool, you would be able to see the average salary for each gender, the total salary for each gender, and even the total number of employees by gender. This allows the tables to become more versatile and display more useful information.

Preparing tabular data for description and archiving

These are general guidelines for preparing tabular data for inclusion in a repository or for sharing it with other researchers, in order to maximize the likelihood of long-term preservation and potential for reuse. Individual repositories may have different or more specific guidelines than those presented here.

General guidelines

  • Only include data in a data file; do not include figures or analyses.
  • Consider aggregating data into fewer, larger files, rather than many small ones. It is more difficult and time consuming to manage many small files and easier to maintain consistency across data sets with fewer, larger files. It is also more convenient for other users to select a subset from a larger data file than it is to combine and process several smaller files. Very large files, however, may exceed the capacity of some software packages. Some examples of ways to aggregate files include by data type, site, time period, measurement platform, investigator, method, or instrument.
  • It is sometimes desirable to aggregate or compress individual files to a single file using a compression utility, although the advisability of this practice varies depending on the intended destination repository.
  • Individual repositories may have specific requirements regarding file formats. If a repository has no file format requirements, we recommend tab- or comma-delimited text (*.txt or *.csv) for tabular data. This maximizes the potential for use across different software packages, as well as prospects for long-term preservation.

Data organization and formatting

Organize tabular data into rows and columns. Each row represents a single record or data point, while columns contain information pertaining to that record. Each record or row in the data set should be uniquely identified by one or more columns in combination. 

Tabular data should be “rectangular” with each row having the same number of columns and each column the same number of rows. Fill every cell that could contain data; this is less important for cells used for comments. For missing data, use the conventions described below.

Column headings

Column headings should be meaningful, but not overly long. Do not duplicate column headings within a file. Assume case-insensitivity when creating column headings. Use only alphanumeric characters, underscores, or hyphens in column headings. Some programs expect the first character to be a letter, so it is good practice to have column headings start with a letter. If possible, indicate units of measurement in the column headings and also specify measurement units in the metadata.

Use only the first row to identify a column heading. Data import utilities may not properly parse column headings that span more than one row.

Examples of good column headings:

max_temp_celsius – not max temp celsius (includes spaces)
airport_faa_code – not airport/faa code (includes special characters)

Data values and formatting

  • Use standard codes or names when possible. Examples include using Federal Information Processing (FIPS) codes for geographic entities and the Integrated Taxonomic Information System (ITIS) for authoritative species names.
  • When using non-standard codes, an alternative to defining the codes in the metadata is to create a supplemental table with code definitions.
  • Avoid using special characters, such as commas, semicolons, or tabs, in the data itself if the data file is in (or will be exported to) a delimited format.
  • Do not rely on special formatting that is available in spreadsheet programs, such as Excel. These programs may automatically format any data entered into a cell, which can include removing leading zeros or reformatting date and time cells; in some cases, this may alter the meaning of the data. Some of these changes revert the cell back to its original value when changing the cell type to a literal ‘text’ value and some do not. Changing cell types from “General” to “Text” before initial data input can prevent unintended reformatting issues.

Special types of data – Date/Time

  • Indicate date information in an appropriate machine-readable format, such as yyyymmdd or yyyy-mm-dd (yyyy: four-digit year; mm: two-digit month; dd: two-digit date). Indicate time zone (including daylight savings, if relevant) and use of 12-hour or 24-hour notation in the metadata.
  • Alternatively, use the ISO standard for formatting date and time strings. The standard accommodates time zone information and uses 24-hour notation:yyyymmdd or yyyy-mm-dd for date; hh:mmTZD for time (hh: two-digit hour, in number of hours since midnight; mm: two-digit minutes; ss: two-digit seconds; TZD: time zone designator, in the form +hh:mm or -hh:mm, or Z to designate UTC, Coordinated Universal Time).

Special types of data – Missing data

  • Use a standard method to identify missing data.
    • Do not use zeroes to represent missing data, and be cautious and consistent when leaving cells blank as this can easily be misinterpreted or cause processing errors.
    • Depending on the analysis software used, one alternative is to select a code to identify missing data; using -999 or -9999 is a common convention.
  • Indicate the code(s) for missing data in the metadata.
  • When exporting data to another format, check to ensure that the missing data convention that you chose to use was consistently translated to the resulting file (e.g. be certain that blank cells were not inadvertently filled).

Data quality assurance

Consider performing basic data quality assurance to detect errors or inconsistencies in data. Here are some common techniques:

  • Spot check some values in the data to ensure accuracy.
  • If practical, consider entering data twice and comparing both versions to catch errors.
  • Sort data by different fields to easily spot outliers and empty cells.
  • Calculate summary statistics, or plot data to catch erroneous or extreme values.

Providing summary information about the data and including it in the metadata helps users verify they have an uncorrupted version of the data. This information might include number of columns; max, min, or mean of parameters in data; number of missing values; or total file size.

Tools to help clean up tabular data

OpenRefine (formerly GoogleRefine) is a very useful tool for exploring, cleaning, editing, and transforming data. Advanced operations can be performed on data using GREL (OpenRefine Expression Language).

References

The preceding guidelines have been adapted from several sources, including:

How to choose a programming language for a Project: Main Tips

How often do you come across a situation where the clients don’t have a clear understanding of what exactly they want? The situation where they describe only the main concept of the future product and its basic functionality? 

Well, let’s be honest, this is a common scenario. While some clients prefer to conduct their own independent research on which language and framework are better for the product, most of them leave it to the software company to choose.

Still, the language for a new project should be chosen only after a series of negotiations with the client. There are a lot of factors that will affect your final choice — the platform, budget, deadlines, etc. To make the right decision when building a development strategy, you must also consider the expert opinion of the developers, technicians, engineers — all those involved in the process.

This is not as simple as it seems. There is a large number of different languages ​​created for various tasks, and it is hardly possible to choose the only right option. How not to make a mistake and pick the tool that fits both the development company and the client?

Choosing the right Platform

The choice of a platform depends on the customer needs — the client may need a cross-platform application or a native mobile version, a website or a desktop app. In some cases the choice is obvious. For example, a taxi service provider may not need its own website and, especially, a desktop application. Instead, an easy-to-use mobile app may be the best option for them. However, less specific products usually require both a mobile and a web application. And this is where the client should make a decision based on the budget.

For mobile development

For mobile development, it is recommended to consider Java for Android apps, and Objective-C or Swift — for iOS apps. However, a rare mobile app is designed exclusively for a single segment of the mobile market. 

Most businesses aim to cover both operating systems when developing the app. If the company has a limited budget, but still wants their product to be available to both Android and iOS users, Facebook’s React Native might be a good choice. React Native will allow you to create a product for both operating systems, significantly reducing the costs and engineering efforts.

For website development

As for website development, the list of languages isn’t just huge, it is almost endless. You should, therefore, focus on the specifics of the project and the market that it will cover. You should clearly understand the vastness of the product’s functionality, capabilities, and complexity. 

Obviously, you will need WordPress to develop a regular content-based site. But today, it is no longer a popular request. Magento and PHP-based OpenCart are suitable for e-commerce products. If you need to develop a large, responsive, agile website that will include a lot of features and data to store, then it is better to pick popular solutions like JavaScript. The tech stack is very extensive here, so you will definitely find the perfect solution.

Development deadlines 

This point is very important, and for a reason. Both the client and the development company must understand when the product will be ready for release, and when the product’s maintenance stage will start off. The faster you start the project, the more time you will have for further improvements. 

The choice of a programming language here is absolutely not obvious since everything depends on the essence of the project. However, you can use pre-built applications to reduce development time. You can conduct a code review and make the necessary changes.

Community support

You might think that this is a less significant aspect when choosing a programming language for the project. But this is not true. In fact, a large community can provide you with support at all stages of the project development. They can introduce you to a huge number of solutions and problems that you will definitely encounter in the future. So you won’t need to spend a lot of time searching for a single resolution to your problem.

Speaking of a vast community, Java, JavaScript, and C# immediately come to mind. These languages ​​are the most popular and demanded today, they have a huge number of fans on GitHub and Stack Overflow.

Conclusion

To summarize, we can say that the choice of a programming language for your next project is always an extremely individual case. So, the main selection criteria are the specifics of a particular product and available resources. Nevertheless, you can always distinguish the leaders that, in most cases, meet all of today’s necessary standards — Java, JavaScript, Python, C++

Mind, however, that the choice isn’t always about the features, it is also about the social aspect. In addition to the tech ecosystem of the language, elements like community vastness and the developers’ accessibility are worth your notice. 

Which Country To Outsource Your Next IT Project To?

As the outsourcing of software development projects becomes a common occurrence among IT companies, it’s important to know what makes a country suitable for this action. Best IT outsourcing countries are those that offer the ideal price-to-quality ratio, a rich talent pool to choose from, as well as some other important aspects that will give your project the best chance to succeed. The following few questions will help you determine how appealing a country is, along with a couple of outsourcing recommendations at the end.

HOW MANY DEVELOPERS ARE THERE?

The more IT experts there are to choose from, the more likely it is you’re going to find a team that suits your needs. However, the quality of their knowledge is important as well. Certain problem-solving websites provide ranking lists of various countries around the world according to their programming expertise. This way, you can see a true relationship between the number of so-called developers and those that will truly know their job.

WHAT IS THEIR LEVEL OF EDUCATION?

More often than not, there is a massive difference between self-taught software engineers and those with a degree – especially if it comes from a well-known university. They have a much stronger foundation, knowing the ins and outs of systems that can help them solve problems more efficiently.

HOW IS THEIR ENGLISH?

Communication is arguably the deciding aspect of whether a project will be a success or a bust. The best developer in the world won’t be of any use if you can’t communicate to him what your end goal is. A single misunderstanding can lead to a completely different outcome, which is why it’s important that your selected country has a high percentage of fluent English speakers. Bad communication can also lead to disputes inside the team, regardless of their skill level.

WHAT IS THE TIME ZONE DIFFERENCE?

While it’s often not a crucial factor nowadays, a significantly different time zone could deepen the existing communication issues. Fortunately, this issue is one that can be easily overcome with good management. Even if the business hours for the two countries overlap for just a couple of hours, it’s more than enough to communicate all of the necessary aspects of the project – as long as it’s been planned in advance.

WHAT ARE THE AVERAGE SOFTWARE DEVELOPER SALARIES?

The lower the salaries, the more affordable outsourcing is going to be. Looking at the software engineer salary by country, it’s easily noticeable that a lot of the best locations are going to be those that are still in development. However, the low salary is not enough – it’s important that the country also has high investments in education so that you get your money’s worth.

BEST OUTSOURCING LOCATIONS

– UKRAINE

Alongside Poland, Ukraine is one of the best countries for outsourcing in Europe. Software developers earn between $13-51K yearly, which is very low compared to some of the tech giants around the world. Ukrainians are also very skilled at programming, commonly ranking among the top 10 in various programming challenges.

– POLAND

Ranked 3rd with a score index of 98/100 among HackerRank’s programming challenges, Poland is home to the world’s best software engineers. With over 30% of the Polish population having English as a second language, communication shouldn’t be an issue. Salaries are very similar to the ones in Ukraine, making it a very affordable outsourcing location.

– ARGENTINA

One of the most educated Latin American countries, most Argentinian colleges offer free tuition. This ensures that almost all software engineers will have a strong foundation and a deep understanding of all necessary concepts.

– GEORGIA

Georgia has experienced significant growth since 2016 when foreign companies started investing in the country – especially in the IT sector. In addition, Georgia’s specialized agency has implemented an IT-based training program for thousands of students, as well as multiple universities, making it an attractive choice for outsourcing.

– THE PHILIPPINES

An English literacy rating of over 90% makes the Philippines the best English-speaking country in Asia. Their reformed education system gives rise to thousands of developers each year, and with an average yearly salary of just over $8k, you’d be hard-pressed to find a cheaper country for outsourcing.

– KAZAKHSTAN

Since it’s still a developing country and the government is stimulating the IT sector as well as startups, Kazakhstan has a lot of workforce with good potential. Ridiculously low average salaries motivate Kazakhs to search for a job outside of their country, which is what makes it a solid choice for outsourcing.

There are plenty of good locations for outsourcing your software projects – it’s just a matter of what you’re looking for the most.

2022 Programming Trend Predictions

2022 is almost here, as crazy as that sounds. The year 2022 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.


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

AWS Systems Manager: All you need to know

https://aws.amazon.com/systems-manager/

What is AWS SSM?

AWS Systems Manager is an agent-based platform for managing servers across any infrastructure, including AWS, on-premises and other clouds. You can now deploy applications and application configurations with a single command to AWS. The EC2 Run Command is still available, but there’s also a new service that offers this functionality called AWS OpsWorks (OpsWorks for short). Previously, there was no single solution that could be used to manage all servers. This resulted in ASM coming into existence and filling the gap.

Features of SSM (AWS Systems Manager)

Run command

Being a remote command, this enables us to go into your servers and do ad-hoc things easily. Previously, we would utilise AnsibleBastion Hosts and other similar services to run ad-hoc commands to our remote servers. There are many different solutions, but they all take time to set up & it can be difficult to determine precisely who is doing what. By integrating with AWS Identity and Access Management (IAM), SSM provides significantly better control over controlling remote command executions. It saves remote administration records to audit usage. Security documentation may also be produced for often used commands.

State Manager

New vulnerabilities are discovered every day, so there’s no way to keep your network safe. State Manager makes it extremely simple to maintain the proper state for our application environment by allowing us to run a collection of commands utilising SSM documents on a regular basis. If we want to disable SSH temporarily on all servers, a strategy could be to use an Systems Manager document that schedules a shutdown of the SSH demon on each of our servers every half hour (30 min).

Automation

With this upgrade to the Run Command feature, we’re now able to remotely run commands on various instances. This isn’t all that automation has to offer; we can use AWS API’s as part of these executions. We may combine many stages to complete complicated tasks by using an Systems Manager automation type document. Please keep in mind that Automation documents are run on SSM Service and have a maximum execution time of 1,000,000 seconds per AWS account per region.

Inventory

It’s easy to track what applications are running on our servers and services we use from Systems Manager Inventories. This is done by linking an SSM document to a managed instance, which then collects inventory data about these items at regular intervals and makes them available for examination afterwards.

Patch Manager

Even the environment needs to be updated with new patches. Using SSM Patch Manager, we can define patch baselines and apply them to managed instances during Maintenance Windows. This is done automatically whenever the Maintenance Window time arrives, reducing the possibility of a manual oversight.

Maintenance Windows

Amazon offers a way to schedule tasks to execute on AWS infrastructure at certain intervals, called recurring tasks. You can count on us to perform patch fixes, install software, and upgrade the OS while your computer is in the shop. We may utilise SSM Run commands and Automation features during maintenance windows.

Compliance

This is an SSM reporting method that tells us if our instances are patch baseline or States Manager association compliant. This capability may be used to drill deeper into issues and resolve them using SSM Run commands or Automation.

Parameter Store

By leveraging the AWS KMS service, this functionality eliminates the possibility of exposing database passwords and other sensitive parameters we’d like to include in our SSM Documents. This is a minor component of SSM, but it is necessary for the service to function properly.

Documents

SSM comes with a number of pre-made documents that may be used with Run Commands, Automation, and States Manager. We can also create our own unique documents. SSM Document permissions are connected with AWS IAM, allowing us to use AWS IAM policies to manage who has execution privileges on which documents.

Concurrency

With AWS, you can run commands and automation documents in parallel by specifying a percentage or a count of target instances. We may also halt operations if the number of target instances throwing errors reaches a certain threshold.

Security

Security is a complicated concept and the Systems Manager Agent implements it by running as root on the servers. This better affords visibility into the security of our work environment.

  • The SSM agent retrieves pending orders from the SSM service and executes them on the instance via a pull mechanism.
  • Communication between the SSM agent and the service takes place through a secure channel that employs the HTTPS protocol.
  • Because the SSM agent code is open source, we know exactly what it does.
  • To log all API calls, the SSM service may be linked with AWS CloudTrail.

Cost?

Start using AWS Systems Manager for free – Try the 13 free features available with the AWS Free Tier.

Pay nothing to try »

Conclusion

AWS Systems Manager is a cloud-based service for managing, monitoring, and maintaining the health of your IT infrastructure.

AWS Systems Manager is a cloud-based service for managing, monitoring, and maintaining the health of your IT infrastructure. It provides a centralized console to view the state of all your AWS resources, as well as one-click actions to fix common issues.

Overall, AWS Systems Manager is an impressive production-ready tool that lets you manage your servers and other AWS resources remotely.

Links

Renting a VPS Server in Europe or USA

Introduction: Why You Should Consider VPS Server and How to Make the Most Out of This Decision?

A VPS server is a virtual private server that allows you to share the resources of a physical machine with other users. This type of hosting is more affordable than renting a dedicated server and it also offers more flexibility.

If you are interested in renting a VPS server, then you should know that there are many providers on the market and it can be hard to find the best one for your needs.

A VPS server is a virtual machine that is hosted in a data center and shared with other virtual servers. A VPS server can be used to run an operating system, application, or website.

This article will teach you how to rent vds server from a provider. You will learn what you need to know about the process and the pros and cons of renting one.

The article will also provide you with some tips for choosing the best provider for your needs.

This article will help you make an informed decision on which provider to choose and how to make the most out of your new VPS server.

Why You Should Rent a VPS Server

Renting a VPS server is an ideal solution for startups and small businesses with limited budget. A Virtual Private Server (VPS) is a virtual machine that has its own operating system, storage, and memory. It offers full control of the host machine as well as its own software. You are also able to run your own applications on the VPS server.

A VPS server is not just a hosting solution for websites; it can be used for any kind of business application such as databases or email servers. In addition, you are able to manage your VPS server from anywhere in the world which means you don’t have to worry about hiring someone else to maintain it.

How to Rent the Best VPS for You

A VPS is a virtual private server that can be rented by anyone. A VPS can be seen as a self-contained mini-server that runs its own operating system, but shares the resources of the larger machine it is running on.

The most important thing to note about renting your own VPS is that you are in complete control of your data. This means you have total control over the applications and services you run on your VPS, and if anything goes wrong, it’s your responsibility to fix it.

Dedicated servers in USA & Europe

Dedicated servers are a type of hosting service that offers the full resources of a physical server to a single customer.

Dedicated servers are not as expensive as they used to be and they also offer better performance than shared hosting.

What are the Advantages of Renting a VPS Server?

A VPS Server is a virtual private server. This means that it is not a physical server and instead it is a software-based server.

In this article, we will look at the advantages of renting a VPS Server. The advantages include:

1) low cost

2) high availability

3) security

What are the Disadvantages of Renting a VPS Server?

The main disadvantage of renting a VPS server is that it can only be used by one customer. It cannot be shared with anyone else.

Another disadvantage of renting a VPS server is that the customer will not have full control over the server. The customer will have to rely on the provider to maintain and update their servers.

Choosing a Cheap VDS Provider? 5 Questions To Ask First!

Choosing a cheap reliable VPS hosting company is not always easy. There are a lot of options to choose from and not all providers can be trusted.

In this article, we will talk about the six things you should ask before choosing a VPS provider.

Choosing a Virtual Private Server Provider can be a daunting task. There are many providers to choose from, each with their own features and limitations. You need to figure out what you need the server to do, which operating system you want to run on it, whether or not it should have one or more cores, what memory it should have and how much space.

  1. The Ultimate Guide to Choosing a Managed Hosting Provider
  2. Managed vs. Unmanaged Hosting
  1. Do you know the right questions to ask your managed hosting provider?
  2. Beware of these Red Flags when shopping for Managed Hosting!
  3. How Much Should Quality Managed Hosting Actually Cost You?

Most customers do not know what questions to ask and can be easily tempted by the promise of guarantees. They often make decisions based on a feeling from one sales pitch without doing any research beforehand, or they do inadequate research.

Luckily, we’re here to help you out.

Conclusion – Why You Should Consider Renting a VPS Server

The conclusion section is the last part of the article. It should summarize the main points discussed in the article and provide a final call to action.

In this section, I will explain why you should consider renting a VPS server for your business.

Tips for creating an A-worthy Python assignment

Python is a computer programming language. We would not say it is a complex language to learn, but we know that it is not a language you can learn in a day or two. To be well-versed with the language, you need to be regular, and dedicate time and effort. However, a college student who is new at it will have a different kind of struggle. They are probably learning the language for the first time, and while they are getting acquainted with this new language, they are constantly challenged with the assignments they get from the professors. So, what should you do to ensure that you receive an A in your Python assignment? Below, we will address a few tips that can surely come in handy for you. So, let us get started and look at them one by one. 

Tip 1 – Be consistent

When you study a Python-related concept in class, always ensure that you go back home and practice questions around it. Do not wait for your professor to finish a lengthy concept; assign you some questions, and then go all clammy. Instead, be proactive and consistent. You can always find abundant python homework questions with their solutions online. These can help you with practice. They are questions from previous year’s papers, sample questions around the concepts, and many practice questions. Also, when you do these questions in advance, you will see how quick it gets for you to solve the assignment. Many of the questions in the assignment will be similar to the ones you have already solved. Thus, there will be no extra trouble. 

Tip 2 – Be very attentive in class

This is imperative and cannot be done without. While learning a subject in class, your heart, mind, body, ears, and soul should be all present in the classroom. You should be attentive and listen carefully to every word that comes out of your professor’s mouth. Further, try to understand what’s been said and register it in your memory. If you have doubts, clarify them. 

Tip 3 – Make notes

Regardless of how attentive you may be in the classroom, as the subject intensifies and you learn newer concepts, the older ones start eliminating from your memory. Thus, it is essential that while you are being taught a concept in class, you also make notes simultaneously. Of course, as you are already doing two tasks (listening and understanding), you will not have the time to create detailed notes. So, what you can do is, prepare short, crisp notes. However, do ensure that they are legible, and then, when you go back home, read through these notes and try to recall everything that was taught around it. Then, based on your memory and the brief notes, prepare detailed, full-length notes. These notes will come in handy when you get to the questions. Also, you can use them while preparing for the exam. 

Tip 4 – Read through the questions carefully.

Often students are in haste to finish the homework that they barely pay attention to the question. As a result, they will quickly read through and miss multiple aspects of the question. Consequently, they will make silly mistakes, which could have been easily avoided. So, once you receive the paper, read through every question at least thrice. 

  1. In your first reading, understand the question, see what is given, and what you are supposed to find. 
  2. In your second reading, write down what’s been given and what you are supposed to find. 
  3. Try to compare the two in your final reading and see if you have missed out on anything. If not, you can get started with the solution. 

While you read the question, mainly in your first reading itself, you will know whether you can solve it on your own or would require Python homework help. You can act accordingly and save some time. 

Tip 5 – Read the instructions well

Only reading the questions will not suffice; you also must read through the given instructions at least once. These instructions are necessary because their adherence is mandatory, and upon failure, your marks will be deducted. Typically, the instructions are the structural and formatting guidelines, which add to the standardization of the paper. Hence, it should be kept in mind. 

Tip 6 – Sit in a clean, quiet room

There are two key things here – clean and quiet. Firstly, when you sit down with your assignment, ensure that your desk and table are clean and well-organized. It would be best if you only kept around the stuff you need for this assignment, and anything beyond that should be eliminated immediately—the more things you have on your table, the greater the chance of distraction. Hence, avoid it. This also includes your phone. You can temporarily switch it off or keep it in a different room. Concentration and focus apps, such as Forest, can help you with the same. 

Secondly, the room or the corner where you sit should be quiet, away from the entry and exit. This can help you concentrate better and dedicate your attention solely to the paper. 

Tip 7 – Seek help, if required

Lastly, if you think that the current knowledge that you possess might not be enough to help you score a top grade in the subject, it is best to get help. 

There are several mediums/sources of help: 

  1. Your parents or siblings – If they have studied the same subject in their time, they can surely help you with the homework. 
  2. Your classmates – As they are solving the same paper as you, it is easier for you to get help from them. But, do not indulge in any malpractices and copy-paste their homework. This will be tagged as plagiarism and will never be appreciated by any professor.  
  3. Enroll in an online course – If you find it difficult to ask your doubts in class, you can always enroll yourself in an online course from a reputed professor. There are both group and one-on-one sessions available. You can pick whatever works best for you. 
  4. Get your paper solved by an expert – Some online professionals can help solve your paper. All you have to do is approach them, share your requirements, and they will take over from there. These are knowledgeable professionals who have been working in the industry for several years and will be in a position to prepare a top-class A-worthy paper for you. 

So, these are a few essential tips that you must bear in mind to create an excellent Python paper for your college or university. It is an inclusive list, and more tips can be added to it. Do share them with us in the comment box below if you have some. 

What is DRG grouper software?

The grouper is a computer software system that classifies a patient’s hospital stay into an established DRG based on the diagnosis and procedures provided to the patient.

Background

Section 1886(d) of the Act specifies that the Secretary shall establish a classification system (referred to as DRGs) for inpatient discharges and adjust payments under the IPPS based on appropriate weighting factors assigned to each DRG.  Therefore, under the IPPS, we pay for inpatient hospital services on a rate per discharge basis that varies according to the DRG to which a beneficiary’s stay is assigned. The formula used to calculate payment for a specific case multiplies an individual hospital’s payment rate per case by the weight of the DRG to which the case is assigned.  Each DRG weight represents the average resources required to care for cases in that particular DRG, relative to the average resources used to treat cases in all DRGs.

Currently, cases are classified into Medicare Severity Diagnosis Related Groups (MS-DRGs) for payment under the IPPS based on the following information reported by the hospital: the principal diagnosis, up to 24 additional diagnoses, and up to 25 procedures performed during the stay.

What is the difference between DRG and MS-DRG?

DRG stands for diagnosis-related group. Medicare’s DRG system is called the Medicare severity diagnosis-related group, or MS-DRG, which is used to determine hospital payments under the inpatient prospective payment system (IPPS).

What are the pros and cons of DRG?

The advantages of the DRG payment system are reflected in the increased efficiency and transparency and reduced average length of stay. The disadvantage of DRG is creating financial incentives toward earlier hospital discharges. Occasionally, such polices are not in full accordance with the clinical benefit priorities.

Do you believe Vue.JS will surpass React.JS in 2022?

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.

Why?

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 2022.

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?

Ethical aspects of using employee monitoring software and its smooth introduction to the team

The decision to implement employee monitoring software seems like a smart way for employers to stay on top of everything and to prevent any delicate situations. At the same time, employees aren’t as eager to embrace such changes. Today we’ve decided to help you formulate the right approach to employee monitoring keeping in mind its ethical aspects and the goal to boost employee productivity without violating anyone’s privacy.

The global pandemic has made employers realize that their teams can in fact work remotely and complete their tasks from the comfort of their own homes. However, most companies don’t have any experience with monitoring remote employees and keeping track of them using automated solutions. At the end of the day it doesn’t really matter if your team works at the office or from home, the challenge of ensuring high employee productivity and keeping track of their activity during working hours is universal for every supervisor.

In the recent years employee monitoring software has proven its tremendous value for employers, yet it still raises ethical concerns, especially among employees. Your job as a supervisor is to make sure employee monitoring in your company is implemented in an ethical way and is accepted by the team.

Basics of ethical employee monitoring

Employees mainly feel uncomfortable about the possibility of them being monitored because they consider it almost like a privacy invasion. Tracking employees without their consent not only presents a serious legal issue in most countries, but also tremendously weakens overall trust in the workplace. There’s a difference between monitoring and intrusion. Checking your employees’ personal accounts or reading their private messages isn’t the way to go about ensuring they aren’t doing anything illegal.

Generally, employees are fine with the kind of monitoring that is:

  • Open and transparent. Monitoring employees without their knowledge is the number one practice that’s universally considered unethical. Of course, if you suspect that someone from your team is committing a fraud and you want to get concrete evidence of that, you have legal grounds for more in-depth monitoring. However, if you simply want to keep an eye on your employees and decide not to tell them about it, you could face serious consequences. To avoid this, we strongly recommend that you notify your employees about the implementation of monitoring software and encourage them to keep private matters to their home PCs and personal smartphones.
  • Within working hours. Nowadays, when most teams have switched to a WFH mode, after-hours monitoring poses quite a problem. It’s not uncommon for the employees to use company-provided laptops for personal matters after they’re done for the day. And when it comes to any type of monitoring software, there’s always the risk of recording sensitive personal data. Our advice is to either ban your employees from using company-owned laptops for personal affairs or to allow them to turn off monitoring when they stop working for the day.

For example, Kickidler employee monitoring software allows specialists themselves to turn off monitoring once they’re done with work for the day. This option will make your employees more relaxed about the monitoring since they’ll have more control over it.

  • Reasonable. Ethical employee monitoring isn’t just about collecting the data, it’s also about having purpose for such supervision. If you decide to use employee monitoring software purely for the sake of using it or, even worse, for spying on your personnel, it’s not going to end well. If you actually want to get the most out of employee monitoring, you need to have clear understanding of the reasons behind it, the type of data you’ll be collecting and the performance targets you want your employees to achieve. For example, if you’re using employee monitoring software to increase your team productivity, you can start by tracking how productive they are on a daily basis (by the way, Kickidler calculates this metric automatically. Once you have that information, analyze what causes the productivity to go down. Do your employees spend too much time in various meetings? Or perhaps they spend too much time on social media? Pinpoint the exact issues that cause bottlenecks and deal with them by talking to your employees and minimizing the distractions.

Importance of conveying the need for employee monitoring

If you decide to introduce employee monitoring in your company, you should also help your employees understand why you’ve made this decision. We suggest you inform your team that you’ll be monitoring them for professional purposes only and strictly during working hours. We also strongly advise you to be as transparent as possible about the monitoring from the very beginning.

Besides, an Accenture survey found that 92% of employees are actually willing to have their data collected as long as it’s used to boost their own well-being and performance. One way to get your team on board with the monitoring is to share with them how the accumulated data will be used and how it will actually be beneficial for everybody in the long run – for example, in balancing workloads, avoiding burnout or improving your performance (e.g., Kickidler’s Autokick enables employees to view their personal statistics and compare them with previous reports).  

Overall, it is possible to monitor your employees ethically – everything is in your hands. And with the help of Kickidler employee monitoring software this process won’t be just automated, it’ll also bring great value to the company.

Clone and create a private GitHub repository with these steps

What is a repository?

A repository is like a container, it stores your files. It is stored with a history of changes you’ve made. If you don’t get what a repo is storing or its purpose, you can read the repo’s README.md file.

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

10 Best Deepfake Apps and Websites [Updated List]

What is a Deepfake?

Deepfake is a video or image manipulated with artificial intelligence to trick you into believing something that isn’t real. It is most commonly used as a meme, but there are bad actors who use it to make misinformation go viral.

Some examples of the use of deepfakes are to make people who don’t exist and show real people doing or saying things they didn’t really do. Deepfakes can be used to create highly deceptive content, which is why they can be dangerous.

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.

ProsCons
High ratings on Apple and Android app storesMiss out on key features with free version
Easy to useLots of ads

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.

InstallAndroid / iOS – Free

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.

ProsCons
Many photo-editing features are availableLimited features with free version
Easy to useLots of ads

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 – Best Deepfake Software in General

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.

Are There Any Benefits of Deepfakes?

There are a lot of applications for DeepFake technology, and it can really have some hugely positive effects. For example, it could be used in films where the actors couldn’t be there for any legitimate reason.

Deepfakes are so persuasive that they show characters at a young age or replace those who have passed away. They haven’t proven to replace CGI in the film industry just yet, but it’s still too early to tell.

The fashion industry could also be a potential customer of this technology and it is looking for ways to fulfill its clients. Deepfakes would allow for customers to see what a particular piece of clothing will look like on them before committing to the purchase.

Is deepfake AI?

Yes, deepfake apps and websites use AI, ML, and machine vision to create deepfakes.

What Risks Do Deepfake Apps & Websites Pose?

Deepfakes have positive uses, but they are often used for bad purposes and manipulation. In the film industry, they can help to create better content while in the fashion industry they can provide a level of authenticity to the clothes being sold. The problem is that deepfakes are often used for nefarious purposes, such as disinformation attacks and fake celebrity videos.

Deepfakes can be used in social engineering scams and financial fraud, as well. In 2019, a voice deepfake was used to commit CEO fraud after stealing $243,000 from an unnamed UK company.

Deepfakes could lead to serious consequences for society. They might make cybersecurity measures pointless, undermine political stability and affect the finances of corporations or individuals.

AI in Dating: How Smart Technologies Are Used in the Online Dating World

Everybody knows that artificial intelligence has found its way to most industries. It makes complex processes easier and never gets tired. It can predict behavioral patterns and even helps with reading emotions. The list of ways in which AI helps is long, let’s try to group the most important points. We’ll focus on one of the first industries that started using artificial intelligence. The two most important factors of online dating are safety and efficiency. AI improved both. Let’s see how.

AI on Guard for Relevant Matches

We’ll start with how AI makes dating sites more efficient. Online dating has come a long way since its beginning. That means singles now can choose platforms that fit them the best. Nowadays, along with general dating sites, there are many niche online platforms that target specific groups of people looking for a specific type of relationship. So, straight people join sites for straight people while gay men meet each other on gay dating sites. In turn, lesbian women have a bunch of platforms, but most still pick the best of all lesbian dating sites available today. They do so because they know that joining a platform only for lesbians makes their chances of getting dates much better. Lesbian women are sure that every other member on the site is their potential partner. That alone was a breakthrough in the online dating industry. Niche sites are much more effective than general sites despite having smaller communities. It’s easier to connect people who have something in common than those who don’t. That was the whole purpose of specialized sites.

And then AI took that one step further. Niche and general sites started using artificial intelligence to become even more effective. Because AI matchmaking is faster than the human brain since it can process more data in less time. Users no longer have to spend a lot of time manually searching for relevant matches (of course, this possibility is still present on dating sites). After filling in your details and indicating your desired preferences, the matchmaking algorithm will offer you a variety of suitable potential matches. And you no longer need to choose among all site users, but only among those who contain a set of qualities that you are looking for in a partner, and who may like you based on their request and your profile. But there is something even more. Not only does artificial intelligence connect better matches based on the provided data, but it also learns what each member prefers.

Example

For example, when a single woman joins a lesbian dating site to find her perfect girlfriend, she browses profiles, stops to read interesting descriptions, zooms to check out profile photos, sends messages to some girls, etc. All that time, AI notices (and remembers) what members made this single woman stop browsing. It usually turns out that all the lesbian users who grab one’s attention have much in common. Smart intelligence technology collects this data to make offers more relevant to each user, thus improving the dating experience on the site.

How AI Improves User Experience

Artificial intelligence makes dating sites more effective because it improves user experience. It’s easier to explain how that’s possible on the example of Facebook and its other companies. Do you know how you always see more content related to that one post you checked out? Thank AI for that. Stop to check out comments on a post related to COVID. You’ll start getting a lot more posts like that in your feed. It’s like that on every social media. AI thinks that people stop to read things they’re interested in. On most dating sites that manifest in presenting better matches in less time. 

That is, if a single woman is looking for a woman on a lesbian dating site, for example, browsing ladies from her local area, then the site will offer her exactly the local lesbians in whom she is interested. Yes, users still have to spend time on the site to give AI enough info. However, if a woman spends a couple of hours looking for her potential lesbian girlfriend nearby, the AI on the site will pick that up. At the same time, if another woman spends her time looking for someone like our first woman, the AI will remember that too. Then, those two lesbian women will be more likely to see each other on the site’s features. You can look at AI on dating sites as some sort of cupid. It watches over you, learns who you are, and tries to help you reach your goal.

How AI Secures Users

We explained how AI makes online dating sites more efficient. Now let us tell you something about safety. We won’t touch any technology that’s still not in use on dating sites, such as AI emotion detectors. We’ll mention how AI currently helps people stay safe while looking for dates.

As you know, AI processes a tremendous amount of information every second and never gets tired. In other words, it watches over the whole site to prevent issues before they happen. If some attacker wants to steal the personal data of one of the users, he will not be able to do so. Because AI will see errors in the code before he does and fix them. 

Also, based on AI, anti-spam and anti-fraud systems are being developed and implemented. These systems filter users for “suspicious activity” or block users for trigger words and images contained in posts, profiles, and the like. This reduces the risk of users facing insults, racism, sexism and other negative factors of online communication platforms. Therefore, the positive experience on dating sites for black dating or lesbian dating will only grow every year. Aren’t we living in the best era for being single?

Things to consider before starting a retail software development

There are three aspects to consider when developing the right retail software: the operational aspect (Is customer relationship management effective?), the collaboration aspect (Does communication between employees, customers, suppliers, and partners improve?), and the analytical aspect (Does data analysis become easier?). Among the retail software development services on the market, how to select the one that will help increase the productivity and commercial efficiency of your company?

What tasks will your business solve using retail software?

  • Gathering sales data in a shared database, in a single view
  • Segmenting the target audience and building customer portraits
  • Providing immediate response to customer inquiries
  • Generating personalized recommendations and offers for the buyers
  • Making sales forecasts

All these functions of retail software, in most cases, are aimed at customers. For example, such retail software as CRM works within the company: integrated with financial tools, it accelerates preparing reports, automates staff work, and improves communication between departments through a common information field.

All retail software can be divided into two large groups: boxed products (ready-made solutions) and custom software. And it is clear that to choose a custom retail software, you must find a quality supplier of retail software development services and have clear goals. Just the choice depends on the objectives of your business and the requirements which software must meet. Below, we have prepared some tips about software development.

Customizable and flexible retail software: does it really matter?

It all depends on the needs of the company and employees. Indeed, the customization needs are not the same if the retail software is used by one department (e.g., sales representatives only) or several departments with different modes of operation, which may need to be adapted. In any case, simple, ergonomic, and intuitive software is preferred.

In addition, to ensure that your retail software is open to other tools, it is interesting to see if it has an application programming interface (API). The IT department should be able to measure API needs and interoperability or technical barriers with the chosen retail software solution. For example, APIs allow interoperability with ERP, other software, or a website.

Compare the features offered by custom retail software

It is important to select its features according to the needs and use of each. By grouping the different features by topic, it allows you to put a rating of importance for each criterion and make a complete comparison to see more clearly. The main groups of software features most often are:

  • Database of contacts and companies: multi-criteria search, history of exchanges and changes, import/export of Excel tables, synchronization with another database, sorting, adding favorites, a tool for merging companies or duplicating contacts, etc.;
  • Commercial pipe management: monitoring the evolution of opportunities, creating personalized quotes, etc.;
  • Marketing campaigns: the creation of personalized campaigns, interface with mailing tools, automation of actions, etc.;
  • Sales cycle automation: automatic email/phone reminders, document storage (sales proposals, letters, etc.), overdue action reminders, signature probabilities calculation, etc.;
  • Data analysis: dashboards, data summaries with graphs, commercial reporting, custom queries, ROI analysis, etc.;
  • Workforce planning and management: general scheduling and general agenda, managing employee absence and expense reports, requesting and confirming leave / RTT, managing roles and access rights, hierarchy, etc.;
  • Additional options: interface with social networks, API call, links to Google Maps;

Custom retail software options that matter

Simple options or parameterization options are useful for increasing the productivity of your team. That’s why you need to learn about some features that can make a difference. If we talk about CRM, for example, social media interface, available on all types of support (mobile CRM, laptop, desktop, etc.), link to email software, synchronization with employee calendars (Office 365, Google Calendar…), related mobile apps, etc.

You’ll find that usage of custom CRM software is a detail that facilitates appropriation and long-term use. And let’s dive deeper into the retail software development topic on the example of these systems by Fideware.

CRM software: security, data storage, and backup

Depending on how the CRM software is obtained, it is important to question the security of the stored data. In the case of purchasing CRM software in SaaS mode, the publisher will take care of the location of all the data contained in the software. Therefore, it is preferable to check the level of technical skills and experience of the publisher, the location of data centers, the frequency of data backup, the technological partners of the CRM software publisher (vendors, training, support…). This step should not be overlooked. A data leak or loss can be an actual blow to the company.

If you’re still hesitant, test them out

It can be helpful to try the CRM software before you buy it and mobilize all its employees. Having different departments that will use the CRM software to do the test allows you to have feedback and comments and take comfort in your decision.

Why choose a custom solution from Fideware

  1. Easy-to-use retail software: With the advent of new technologies, your employees will have the perfect ease-of-use interface that you customize yourself to meet your needs.
  2. Comprehensive dashboards: you will be able to track, analyze and understand your customers’ journey.
  3. All your services will be connected: the CRM will be able to connect all your business processes to initiate the perfect collaboration of your services and increase efficiency.
  4. Smart tool: by creating lists that you will customize, you will be able to monitor your opportunities or consider new marketing campaigns by planning them.

Custom CRM systems are easily integrated with the IT infrastructure of the business, contain a package of options necessary for a particular business, and protect customer data. Many business owners appreciate the benefits of CRM.

By following all of these tips to choose your custom retail software, know that the more the solution is considered, the more effective and flexible the implementation will be. Measuring your goals and determining your needs lets you know which features are necessary and which are not. However, some steps in the custom retail software selection process are not negligible: checking the vendor’s reliability and experience, testing before buying, etc.

The Complete Guide to Real Estate Appraisal Software and the Role it Plays in Commercial Real Estate

The commercial real estate industry is a booming one with a high demand for real estate appraisers. The importance of the appraisal process cannot be underestimated. It is not only pivotal in determining the value of a property but also in its financing, sale, and leasing.

In order to meet this high demand, developers have started developing specialized software that can automate parts of the process. With these apps, appraisers can focus more on the most important aspects of their job and spend less time on tedious tasks such as data entry or repetitive calculations.

Introduction: What tools does a real estate appraiser use?

Real estate appraisers use a variety of tools to do their jobs.

The most common commercial real estate appraisal tools are the following:

– Real Estate Appraiser’s Calculator

– Real Estate Appraiser’s Report Form

– Real Estate Appraiser’s Checklist

– Real Estate Appraiser’s Boundary Map

– Real Estate Appraiser’s Property Information Form

– Real Estate Appraiser’s Market Analysis Methodology

What is REA Appraisal Software and its Role in the Commercial Real Estate Industry?

REA Appraisal Software is a software that helps appraisers to carry out their work more efficiently and accurately. It is a commercial real estate appraisal software that provides automated valuation for commercial property.

Appraisal Software is an automated tool that helps appraisers to carry out their work more efficiently and accurately. It provides automated valuation for commercial property and calculates the market value of the property based on its comparable sales data.

Commercial Land & Building Value Assessment: The Key to Successful Commercial Real Estate Investment

Commercial real estate is one of the most profitable investments in the world. Understanding how to assess commercial property values is crucial for successful investment in this industry.

Commercial land and building value assessment are key elements for success when investing in commercial real estate. This article will explore these two elements and provide key insights on how to assess them correctly.

Commercial land and building value assessment are important factors when it comes to investing in commercial property. This article will explore these two factors, provide insights on how to assess them correctly, and discuss what you need to consider before making an investment decision.

What is the Best Property Appraisals Software on the Market?

Property Appraisers are required to appraise real estate for a variety of purposes. The appraisal is used to determine the value of the property for insurance, taxation, financing, or other purposes.

There are many different types of property appraisers software on the market today. Some are more suited for mortgage lending while others are more suitable for assessing property values.

This article will break down some of the most popular appraisal software on the market and discuss their features and benefits in detail.

Top 5 Best Real Estate Appraisal Software Reviews

  • 1. HouseCanary
  • 2. ValueLink
  • 3. SFREP
  • 4. A la mode
  • 5. ACI Analytics

Conclusion: Why You Should Invest in a Professional Property Appraisal Service To Protect Your Investment

An appraisal is a professional opinion of value, and it can be vital to protecting your investment.

You may be wondering why you should invest in a professional property appraiser service. The answer is simple: protection. An appraisal can provide you with the assurance that your property is valued correctly and that you are not overpaying for the property.

How does CIAM Protect Customer Data?

Companies are gathering more data about their consumers than ever before. With this in mind, companies are looking for ways to keep their customers’ information safe. Customer Identity and Access Management (CIAM) can help protect consumer data by allowing one username and password to be used across all the services they use, while maintaining confidentiality of passwords and other sensitive information that might be needed at login.

The right CIAM solution can help reduce the risks of customer data being compromised by hackers or lost because of system failures.

CIAM helps reduce the risk of loss of confidentiality for one’s customers, which may lead to more customers trusting your company with their business. Think about how even one security breach could affect that relationship if they are not allowed to use a single login for all their needs?

For this reason, CIAM (customer identity and access management) is becoming a critical part of cloud infrastructure.

Being easy to use and adaptable enough to work with any service, the best CIAM solutions allow your customers to login using one username and password that will then enable them to access all of their other accounts and programs.

CIAM and the GDPR

The two are not directly related, but they are both aimed at protecting your customers’ data. The GDPR is a European Union regulation that came into effect on the 25th of May, 2018, and it protects EU citizens’ personally identifiable information (PII).

The GDPR causes companies to rethink how they store customer personal data, and this is why a company’s CIAM solution should be able to provide enough security and transparency to allow them to comply with the GDPR, which can mean that changes need to be made.

Enabling Customers to Take Control of Their Data

The GDPR also gives customers more control over what information they share with companies. Customers can now easily view what information a company holds about them, and they also have the right to be forgotten. This means that companies must ensure that they protect both their own and their customers’ data by encrypting it on their own servers and any third-party vendors who might have access.

How customer data is used by businesses

This has always been a concern, and although many people may feel uncomfortable about exposing their data to businesses, it is often necessary for them to do so in order to be able to fully enjoy the services that they want.

CIAM can make customers’ lives easier by allowing them to use single sign-on (SSO) when accessing different websites and apps. It allows businesses to provide users with a convenient way to log onto different platforms using one set of login details, rather than requiring them to use the same password every time.

Customers are still in control

Even though CIAM helps make customers’ lives easier by allowing them to browse the internet more securely, it also makes sure that their personal details are kept safe by allowing them to choose exactly how much they want to share with a business.

This means that, even if a customer has signed up for an account on a service which uses CIAM, there will be no risk of their data being stolen if the business’ servers are hacked. This does not mean that they should not take care when entering their details on such sites.

The benefits of using a CIAM platform to protect customer data

On one hand, customers feel as though they are finally in control of their own data and how it is handled by businesses using CIAM platforms. This means that those companies which do not yet use CIAM will be forced to change their practices if they want to keep attracting new customers and keeping old ones.

On the other hand, those companies who already use CIAM will benefit from a boost in customer trust and security. This means that they can build a more solid relationship with their customers and be able to establish themselves as one of the most trustworthy internet entities around.

How to choose a CIAM provider that meets your needs?

A key factor to consider when looking for a CIAM provider is whether they can provide you with access to an API. APIs are how websites allow your chosen tools and applications to connect with them.

This means that if you already use another company’s proprietary software, chances are there will be an API for it so that the data can be sent to your CIAM tool. It’s important that you find a CIAM company that provides such an API as it gives you greater control over your data and how it is presented, enabling you to create the report exactly how you want it rather than having them do all the hard work for you.

Why do Startups Need to Begin with a Minimum Viable Product?

When it comes to developing a new solution, creating it as a minimum viable product is a sound idea. It allows startups to spend less time and costs to launch the product to the market. In contrast to a minimum lovable product, MVP tests a product’s functionality and its appeal to users’ needs. This lean startup approach helps to find out whether it is worth putting effort into an idea.

So what exactly is the “minimum viable product”? And what benefits does it bring to startups? In this article, we will shed some light on the topic of the MVP and discuss the most famous examples of minimum viable products.

Basically, MVP is a version of your software product that comes with only the most basic functions. It is deployed with the goal of getting feedback from early users. Their reaction will show what should be changed/ deleted/ added to your software product.

The concept of the minimum viable product can be illustrated the following way:

Significance of MVP for a startup

According to the data provided by Statista, the absence of market need serves as a reason why 35% of startups fail.

Given these figures, it becomes clear why building an MVP becomes the first and foremost task for any startup. Its core idea lies in getting feedback before you proceed to develop a fully-fledged project. You analyze the customers’ feedback and decide what to do next. 

Basically, you have two available options. You can pivot your business idea. The term “pivot” supposes that you can iterate your strategy to create new hypotheses and test it. Alternatively, you can give up your business idea completely.

Either way, the launch of a minimum viable product helps your startup save costs and avoid failure.

Expected benefits MVP brings for startups

Let’s outline the key advantages of the MVP approach for startups briefly.

1. Quick launch

Since a minimum viable product requires only basic functionality, specialists offering MVP development services will build it much faster than a full product. 

As a result, you get better chances to release your product before a similar solution enters the market.

In its turn, a fast launch will help you test marketing strategies earlier and scale your business properly.

2. Gaining investors

Investors need to see the market value of your product to provide you with financial aid. On that score, the launch of the MVP is a sure-fire way to show the demand for your product or service.

Provided that the feedback from pioneer users is positive, you can freely present your business idea to investors.

3. Cost efficiency

Since the functionality of your minimum viable product is limited to one-two basic functions, developers will complete your project within a shorter time frame. Consequently, development costs will be lower.

Besides, the immediate feedback from pioneer users will allow you to add new features and improve the existing ones gradually. With this approach, the product development process is getting less costly.

4. Narrow focus

The MVP concept will make it easier to come up with an outstanding and appealing value suggestion. You will not be distracted by adding sophisticated functionality that may turn out completely unnecessary. Instead, you stay focused on the distinctive advantages of the product you want to sell to your potential customers. 

To achieve this goal, you will become especially selective as to the functionality you want to include in your minimum viable product.

5. Better insight into your potential customers’ needs

Comprehensive research of your target audience is crucial, no doubts about it. However, honest feedback from the first adopters works better than even the most advanced business analytics. It provides you with the most accurate data.

Your customers can tell you what features should be added in the new release and what functionality you can easily do without.

Examples of the most successful MVPs

Facebook

There is hardly a person who does not know about Facebook. Today it is a complex platform offering different products and services, not to mention its status as the dominant social network.

However, few people know that, initially, Facebook had a simple concept. It was designed as a universal directory for Harvard students only.

By focusing on the crucial features, Zuckerberg and his team avoided difficulties common for many startups when they are launched. For example, they did not spend too much time and money on building unnecessary features.

After several months following the release, Facebook added three other prominent American universities that are Yale, Stanford, and Columbia.

On September 26, 2006, everyone aged 13 years and older got the chance to register on the platform. Thus, Facebook gradually became the biggest social network as we know it today.

Spotify

Spotify is a classic example of an MVP with one dominant feature that came off with flying colors. Daniel Ek and Martin Lorentzon set themselves to create the best music streaming product. So, they stuck to one main feature, which was, as you may guess, music streaming.

Spotify’s MVP was a desktop version of the app presented to the closed beta. This way, the company tested the feasibility of their business idea in the most cost-effective way.

The product offered at a freemium price became popular among music fans, including influential music bloggers from Sweden. They saw the true value in this desktop application and started promoting it further.

In the short run, Spotify enhanced their product by building a mobile app.

Foursquare

This company also decided to develop a minimum viable product with a single prominent feature. The application should allow users to check-in in different places and receive badges as a reward.

As soon as the application became popular, Dennis Crowley and Naveen Selvadurai started iterating their product. They added recommendations, city guides, and other functions.

Conclusion

MVP is a great concept that will help you validate your business ideas in the early days of your startup. With its help, you collect initial feedback from pioneer users and investors without significant expenses. As a result, you can grow a client base and enhance the product.

Building a Web-Based CRM-System: Market Leaders’ Experience

Loyal customers are the life force of any successful business, which is why for any business to rise high and win appreciation, it’s important to carefully foster relationships with customers. Sometimes, however, you simply cannot do so without the help of advanced organizational technologies. Over time, the amount of customer data that you need to keep track of may be too much for a simple spreadsheet, and opportunities for success may start passing by you. This is when a Customer Relationship Management system (or CRM system) becomes the necessity.

In a nutshell, a CRM system is an app that allows you to store, organize, and maintain customer contact information, accounts, leads, sales opportunities, and so on – preferably in the cloud so all this vital data is accessible by the sales, marketing, finance, operations, and logistics departments of your company in real time, on any device. Such cloud CRMs are also known as SaaS CRMs, online CRMs, or web CRMs.

There are lots of solutions in the market, but there are no guarantees that commercial CRM will meet your business needs. Typically, the commercial CRM systems have a limited set of features, adding custom addon will take a lot of time and money. Also, with commercial CRMs, you’re dependent on software support. And of course, the commercial CRM may cost your company a pretty penny: for instance, the basic version of Salesforce will cost you $25 per user monthly. So in some cases, it’s much better to develop your own CRM solution. 

Today we’re going to talk about how to build a cloud-based customer relationship management system. We’ve carefully analyzed several of the most popular cloud-based CRM apps – Salesforce, SugarCRM, Pipedrive, and some other open-source solutions – and have come up with a set of must-have CRM system features, which will be helpful if you decided to develop an online CRM for a small business. Let’s see what these features are and how we can implement them.

Basic features for your web-based CRM system

  • Address book

What is the central feature of any CRM software? Of course, it’s an address book. Without one, how are you going to collect all the contacts that may come in handy someday? With an address book, you can store all vital information on your prospects and other people who matter to your business – for instance, the CEO of your partner company and the contractor who works at your office. A person’s full name, email address, and links to social networks can be conveniently gathered and stored in one place so anyone can access it if needed.

[Data import in PipeDrive]

Traditionally, new contacts are added to a system manually, but most modern CRM apps can now do this automatically. Salesflare, for example, gathers contact information from email signatures and social profiles. Some companies even build custom APIs that let them automatically drop every new contact into a system (this drop is usually initiated when a prospective client fills out a contact form on the company’s website).

What about existing contacts? You can also give your users the opportunity to import their contacts from other sources or CRM systems. Insightly, for example, lets users import contacts from Gmail and MailChimp accounts or from Excel files; Pipedrive even lets users import existing contacts from other systems like Zoho and Sugar CRM.

  • Leads and deals

As it typically happens, you start tracking your potential customers as “leads,” add some customer information while you’re convincing them that your product or service is worth trying, and finally turn these leads into “deals.” A really effective CRM system should accompany you at every stage of this process, and so your future product should obviously have a place where users can see all of their leads and track their leads’ movements through the sales pipeline – from the first contact to signing a contract. After all, business is business, and helping to move the needle in your sales is actually why CRM systems are built.

Applications like Salesflare and Pipedrive use special board-like interfaces that allow you to see how many deals your company currently has, understand at which stage of the sales pipeline these deals are, and see which of them need your urgent attention. Moreover, these applications let users customize their pipelines to meet the specific business needs of their companies: set as many stages as needed, name them, order them, and so on.

You should also let your users import their leads from existing CSV files or other third-party sources (MailChimp, for example) just as with contacts.  

Salespeople know that it’s very important not to lose even minor details while working with prospective clients. Many existing CRM apps have a range of tools that help you remember everything that was said and done during your last conversation with a client. Pipedrive, for example, lets you take notes and upload files from your device so you can have everything you need conveniently filed in one record.

You can also give your users the opportunity to upload files from Google Drive, Dropbox, Amazon S3, and other cloud storage services. Insightly even provides seamless integration with Evernote, so users can link their Evernote items directly to contacts or deals.

Some software, like SalesForce, also provide so-called “smart” BCC functionality. Thanks to this feature, users can copy their emails (sent from external email applications) right to a contact or lead record in Salesforce. Simply enter your Salesforce email address in the BCC field and the email copy will appear inside the application so you can then link it to a certain deal record. Pipedrive provides similar functionality.

  • Activities

Many existing solutions provide built-in scheduling tools that allow users to set reminders for recurring activities and upcoming events, such as calls, follow-ups, and meetings. This way you can make sure that you don’t miss anything important. Pipedrive, for example, allows you to plan your own activities and assign activities to others. The application provides a special dashboard where you can overview the to-do list for your entire sales department.

Insightly uses a different approach to displaying planned events and activities, using a calendar-like board that gives you valuable insights into your sales department’s to-do’s and processes. You can even sync the Insightly calendar with Google Calendar so all your planned activities can smoothly mirrored on another platform without your having to lift a finger. There are a number of APIs that allow you to integrate your app with calendar functionality, including the most popular ones like Google’s Calendar REST API, the Eventful API, and Microsoft’s Outlook Calendar API.

  • Notifications

Your users may want to be notified when important milestones have been achieved, big tasks have been completed, or important activities have been scheduled. Insightly offers special email notifications that are sent when changes or updates are made to tasks or deals. This approach helps users stay up to date on what matters to them.  

You can also add real-time notifications to your web CRM app, which is an even more convenient approach since users can instantly receive the freshest information on what’s interesting to them without the need to constantly check their mailboxes.

  • Mobile

Unsurprisingly, support for mobile devices is becoming a must-have for CRM software. To stay on top of the game, modern business people need quick and constant access to their vital data – be it a hot lead’s contact information or the sales statistics for the previous quarter. Immediate access becomes possible thanks to mobile CRM systems. Going mobile provides a greater degree of flexibility and efficiency, which is crucial for the success of any business.

Examples of companies that have already gone mobile are Salesforce, Sugar CRM, Insightly, Pipedrive, Base, and Netsuite. Usually, a mobile version of such an application contains all key functions of the web application – such as contacts, leads, tasks, and statistics – and applies some functionalities that are difficult to implement on the web: push notifications, audio recording, call logging, mapping with nearby contacts, and so forth.

  • Sales reporting

Which of your products sells best? Who is your most effective sales managers? What’s the average number of deals you close monthly? And, finally, how can you improve your results in the future? Sales analytics and reporting have answers to these and many other sales-related questions.

Usually, CRM apps offer dashboards with a number of fields and filters so you can specify a certain time period, channel, and activity and get the data you need. Many apps also let you choose from a variety of view formats: colorful tables, charts, circle diagrams, and so on so you can visualize information the way you want.   

Some systems also provide the forecasting functionality as a natural continuation of their reporting functionality. A built-in sales forecasting feature can help sales teams accurately predict future sales growth based on their pipeline of current and potential deals. By integrating your CRM system with sales forecasts, sales teams can adjust their selling strategy to achieve better even results. For example, sales managers can make more informed business decisions on how their team should manage its resource and define tasks and deals their employees have to devote their full attention to.

What to add?

Without a doubt, CRM apps are powerful tools to help businesses track valuable information about their leads, log their interactions with them, and convert these leads into deals. For some businesses, however, tracking, logging, and converting is not enough. If these functionalities are no longer sufficient, businesses may start considering adding some marketing automation features to their existing CRM solutions.

  • Marketing functionality

We can always add a dash of automation to our CRM systems. Using an API, for example, it’s possible to automatically add every new contact when they’ve filled out a form on your website, but marketing automation extensions go a bit further. These tools are tied directly to your website, so they can “stream” new users to a CRM application as soon as they sign up. Moreover, marketing automation tools can monitor your product statistics – where your users come from, which parts of your site they’ve visited, at which point they’ve left, and so on. Having these insights on hand, you can create smart and effective marketing campaigns to nurture your leads.

There are a number of companies that offer CRM apps with embedded marketing automation functionalities, including Salesforce, Intercom, Hubspot, and Instant Customer.

Integrations

Sometimes, it may be really costly and time-consuming to develop all necessary features on your own – for example, marketing automation or project management functionalities. That’s why during the process of SaaS application development you may start considering integrations with different third-party applications. Such integrations may significantly save time and money. Besides, this is common practice among popular CRM vendors. Pipedrive provides integrations with more than 20 third-party apps, including famous ones like Trello, Yesware, Callmaker, MailChimp, and Google Apps.

Insightly has a number of integrations with popular accounting and productivity tools, but its most compelling integration is with Slack. Insightly’s paid subscribers can enjoy communicating with the lovely Insightly Assistant in the Slack messenger. This chatbot comes in handy if you want to find, create, or update your records in the CRM system without leaving Slack. Of course, these aren’t the only capabilities of Insightly Assistant, but that’s another story.

It’s also important to give your users the opportunity to integrate CRM systems with their in-house software (their custom-built accounting and management tools, for example) or perhaps with hardware, such as POS systems. In either case, you’ll need to design an API. APIs enable a seamless exchange of information between applications, which, in turn, enables greater operational consistency and efficiency inside companies.

What to keep in mind

As far as CRM systems keep sensitive company data – customer details, financial data, and more – that’s why it’s very important to give users the security they expect. When developing a CRM solution, you should devote special attention to data encryption, advanced authentication (two-factor authentication), support for different access roles, session timeouts, and other security measures.

If solutions available on the market don’t fully cover all your needs, or you want to get an additional level of security and customization, CRM system development is something you definitely should consider. 

7 Critical Steps That Go into Running Successful Software Development

Whether customized or for the general public, software development faces a huge challenge to create and deliver it to match the customer’s needs and business process. Furthermore, it needs to be updated with time to incorporate changes in the working environment.

The roadmap to creating software is often not a definite and clear one. The software developer’s job is to create software that customers can understand and easily apply in their processes.

When a certain company does not meet its requirements from software already available in the market, the option comes of getting a customized software that meets the specific requirements. Moreover, the development process should be cost-effective and made after a detailed discussion with the customer.

Here are some important steps that make the software development process successful.

Understand the Process Flow of the Business

When a customer comes for software development, it is crucial to fully understand its purpose. Conduct a meeting with the company representative and ask them questions about how they run their business and what tasks they wish to perform with the application.

Make sure to understand their purpose of creating customized software at the end of the meeting or several meetings as you require. After the planning process has been completed, work with the customer on possible ways to streamline the process of a software solution.

Make a List of Customer Requirements

Before starting the actual development process, gather the customers’ requirements that are a must for the software. When you do not implement good requirements, there are high chances that it will not satisfy the customer’s needs.

Requirements typically include lists and descriptions of specific actions that must be performed by the software. Without it, it would be an incomplete application that would fail to comply with the tasks. Such needs often include,

  • Data setup
  • Defining levels of security
  • Storage requirements
  • Access to the storage
  • Specific functionality
  • Reporting capabilities and much more

Document the Customers’ Requirements

After finalizing the blueprint and requirements of the software, it’s time to document them according to protocols. Organize the requirements that follow the required business flow. After creating a concise document with all the essentials, ensure the development team and customer go through it again.

The purpose of documenting the requirements is to provide the developer with a reliable blueprint and hold the customer accountable later when required. Reviewing the document is necessary to meet the needs and fully support the business process flow. It will lead to fewer misunderstandings and provide a better coding cycle.

Decide on the Estimated Deadline

Discuss how long it will take to develop the software with the customer. Also, ask them how much time they are expecting and the possible deadline. The completion time should be flexible enough to ensure the application’s development, testing, and releases.

If the timeline is rushed, firstly, more developers can be added to the process. Secondly, both the developer and customer can reduce some requirements to shorten the development period. Some conditions can wait for the updated version or the second release of the software. Make sure to stick to one date so that there are no errors and issues in the release.

Coding the Software

Coding is the main part of the process and requires brainstorming by the developers. You could even assign a professional, dedicated development team in Ukraine for the procedure. Coding is the time for the developers to showcase their technical and creative techniques. It involves sleepless nights and a copious amount of caffeine.

The right developer will confidently take on every project and impart a new skill or two. They will try a fresh concept for the next project. Whenever you need to get something rechecked or clarify a certain part, meet up with the customer regarding it.

Avoid Frequent Changes

The word used for frequent customer changes goes by “Scope creep.” This word is disliked by every developer who has worked on software. When a customer demands changes during the development process every now and then, it causes frustration and errors.

It can be eradicated by putting forth the documents written during the planning phase. A developer can simply ask the customer that a certain addition is not one of the agreed terms. Or the new suggestion can be shelved until the updated version is created later.

Test and Release the Software

Once the coding is completed, the developer should test their work for clarity. Use it as the customer will and rule out bugs before releasing it. You can hire a software tester to approve the designed software further.

Lastly, meet the customer and demo the finished product. Discuss and answer any questions on how the application meets the business processes. Ensure to establish a reliable method for customers to use to document bugs.

How to work Nude Filters and Porn Detector Software?

The following instructions might be helpful for those of you who have never worked with the program:

  1. Download the software (either by clicking the link below or on the right side of this page).
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The Complete Guide to ETL tools in 2022

Organizations of all sizes and industries now have access to ever-increasing amounts of data, far too vast for any human to comprehend. All this information is practically useless without a way to efficiently process and analyze it, revealing the valuable data-driven insights hidden within the noise.

The ETL (extract, transform, load) process is the most popular method of collecting data from multiple sources and loading it into a centralized data warehouse. During the ETL process, information is first extracted from a source such as a database, file, or spreadsheet, then transformed to comply with the data warehouse’s standards, and finally loaded into the data warehouse.

Best 10 ETL Tools in 2022

ETL is an essential component of data warehousing and analytics, but not all ETL software tools are created equal. The best ETL tool may vary depending on your situation and use cases. Here are 7 of the best ETL software tools for 2022 and beyond:

  1. Xplenty
  2. AWS Glue
  3. Alooma 
  4. Talend
  5. Stitch
  6. Informatica PowerCenter
  7. Oracle Data Integrator

Top 7 ETL Tools Comparison

1. Integrate.io Platform ex. Xplenty

Integrate.io Platform (ex. Xplenty) is a cloud-based ETL and ELT (extract, load, transform) data integration platform that easily unites multiple data sources. The Xplenty platform offers a simple, intuitive visual interface for building data pipelines between a large number of sources and destinations.

More than 100 popular data stores and SaaS applications are packaged with Xplenty. The list includes MongoDB, MySQL, PostgreSQL, Amazon Redshift, Google Cloud Platform, Facebook, Salesforce, Jira, Slack, QuickBooks, and dozens more.

Scalability, security, and excellent customer support are a few more advantages of Xplenty. For example, Xplenty has a new feature called Field Level Encryption, which allows users to encrypt and decrypt data fields using their own encryption key. Xplenty also makes sure to maintain regulatory compliance to laws like HIPPA, GDPR, and CCPA.

Thanks to these advantages, Integrate has received an average of 4.4 out of 5 stars from 83 reviewers on the G2 website. Like AWS Glue, Xplenty has been named one of G2’s “Leaders” for 2019-2020. Xplenty reviewer Kerry D. writes: “I have not found anything I could not accomplish with this tool. Support and development have been very responsive and effective.”

2. AWS Glue

AWS Glue is a fully managed ETL service from Amazon Web Services that is intended for big data and analytic workloads. As a fully managed, end-to-end ETL offering, AWS Glue is intended to take the pain out of ETL workloads and integrates well with the rest of the AWS ecosystem.

Notably, AWS Glue is serverless, which means that Amazon automatically provisions a server for users and shuts it down when the workload is complete. AWS Glue also includes features such as job scheduling and “developer endpoints” for testing AWS Glue scripts, improving the tool’s ease of use.

AWS Glue users have given the service generally high marks. It currently holds 4.1 out of 5 stars on the business software review platform G2, based on 36 reviews. Thanks to this warm reception, G2 has named AWS Glue a “Leader” for 2019-2021.

3. Alooma

Alooma is an ETL data migration tool for data warehouses in the cloud. The major selling point of Alooma is its automation of much of the data pipeline, letting you focus less on the technical details and more on the results.

Public cloud data warehouses such as Amazon Redshift, Microsoft Azure, and Google BigQuery were all compatible with Alooma in the past. However, in February of 2019 Google acquired Alooma and restricted future signups only to Google Cloud Platform users. Given this development, Alooma customers who use non-Google data warehouses will likely switch to an ETL solution that more closely aligns with their tech stack.

Nevertheless, Alooma has received generally positive reviews from users, with 4.0 out of 5 stars on G2. One user writes: “I love the flexibility that Alooma provides through its code engine feature… [However,] some of the inputs that are key to our internal tool stack are not very mature.”

4. Talend

Talend Data Integration is an open-source ETL data integration solution. The Talend platform is compatible with data sources both on-premises and in the cloud, and includes hundreds of pre-built integrations. 

While some users will find the open-source version of Talend sufficient, larger enterprises will likely prefer Talend’s paid Data Management Platform. The paid version of Talend includes additional tools and features for design, productivity, management, monitoring, and data governance.

Talend has received an average rating of 4.0 out of 5 stars on G2, based on 47 reviews. In addition, Talend has been named a “Leader” in the 2019 Gartner Magic Quadrant for Data Integration Tools report. Reviewer Jan L. says that Talend is a “great all-purpose tool for data integration” with “a clear and easy-to-understand interface.”

5. Stitch

Stitch is an open-source ELT data integration platform. Like Talend, Stitch also offers paid service tiers for more advanced use cases and larger numbers of data sources. The comparison is apt in more ways than one: Stitch was acquired by Talend in November 2018.

The Stitch platform sets itself apart by offering self-service ELT and automated data pipelines, making the process simpler. However, would-be users should note that Stitch’s ELT tool does not perform arbitrary transformations. Rather, the Stitch team suggests that transformations should be added on top of raw data in layers once inside the data warehouse.

G2 users have given Stitch generally positive reviews, not to mention the title of “High Performer” for 2019-2021. One reviewer compliments Stitch’s “simplicity of pricing, the open-source nature of its inner workings, and ease of onboarding.” However, some Stitch reviews cite minor technical issues and a lack of support for less popular data sources.

6. Informatica PowerCenter

Informatica PowerCenter is a mature, feature-rich enterprise data integration platform for ETL workloads. PowerCenter is just one tool in the Informatica suite of cloud data management tools.

As an enterprise-class, database-neutral solution, PowerCenter has a reputation for high performance and compatibility with many different data sources, including both SQL and non-SQL databases. The negatives of Informatica PowerCenter include the tool’s high prices and a challenging learning curve that can deter smaller organizations with less technical chops.

Despite these drawbacks, Informatica PowerCenter has earned a loyal following, with 44 reviews and an average of 4.3 out of 5 stars on G2—enough to be named a G2 “Leader” for 2019-2021. Reviewer Victor C. calls PowerCenter “probably the most powerful ETL tool I have ever used”; however, he also complains that PowerCenter can be slow and does not integrate well with visualization tools such as Tableau and QlikView.

7. Oracle Data Integrator – part of Oracle Cloud

Oracle Data Integrator (ODI) is a comprehensive data integration solution that is part of Oracle’s data management ecosystem. This makes the platform a smart choice for current users of other Oracle applications, such as Hyperion Financial Management and Oracle E-Business Suite (EBS). ODI comes in both on-premises and cloud versions (the latter offering is referred to as Oracle Data Integration Platform Cloud).

Unlike most other software tools on this list, Oracle Data Integrator supports ELT workloads (and not ETL), which may be a selling point or a dealbreaker for certain users. ODI is also more bare-bones than most of these other tools, since certain peripheral features are included in other Oracle software instead.

Oracle Data Integrator has an average rating of 4.0 out of 5 stars on G2, based on 17 reviews. According to G2 reviewer Christopher T., ODI is “a very powerful tool with tons of options,” but also “too hard to learn…training is definitely needed.”

Use Cases

No two ETL software tools are the same, and each one has its benefits and drawbacks. Finding the best ETL tool for you will require an honest assessment of your business requirements, goals, and priorities.

Given the comparisons above, the list below offers a few suggested groups of users that might be interested in each ETL tool:

  • AWS Glue: Existing AWS customers; companies who need a fully managed ETL solution.
  • Xplenty: Companies who use ETL and/or ELT workloads; companies who prefer an intuitive drag-and-drop interface that non-technical employees can use; companies who need many pre-built integrations; companies who value data security.
  • Alooma: Existing Google Cloud Platform customers.
  • Talend: Companies who prefer an open-source solution; companies who need many pre-built integrations.
  • Stitch: Companies who prefer an open-source solution; companies who prefer a simple ELT process. Companies who don’t require complex transformations.
  • Informatica PowerCenter: Large enterprises with large budgets and demanding performance needs.
  • Oracle Data Integrator: Existing Oracle customers; companies who use ELT workloads.

Who is ETL Developer?

An ETL developer is a type of software engineer that manages the Extract, Transform, and Load processes, implementing technical solutions to do so. 

ETL developer is a software engineer that covers the Extract, Transform, and Load stage of data processing by developing/managing the corresponding infrastructure.

The five critical differences of ETL vs ELT:

  1. ETL is Extract, Transform and Load while ELT is Extract, Load, and Transform of data.
  2. In ETL data moves from the data source, to staging, into the data warehouse.
  3. ELT leverages the data warehouse to do basic transformations. No data staging is needed.
  4. ETL can help with data privacy and compliance, cleansing sensitive & secure data even before loading into the data warehouse.
  5. ETL can perform sophisticated data transformations and can be more cost effective than ELT. 

ETL and ELT is easy to explain, but understanding the big picture—i.e., the potential advantages of ETL vs. ELT—requires a deeper knowledge of how ETL works with data warehouses, and how ELT works with data lakes.

Enterprise Cases

How HotelTonight Streamlined their ETL Process Using IronWorker. For a detailed discussion of Harlow’s ETL process at work, check out Harlow’s blog at: http://engineering.hoteltonight.com/ruby-etl-with-ironworker-and-redshift

ETL Role: Data Warehouse or Data Lake?

There are essentially two paths to strategic data storage. The path you choose before you bring in the data will determine what’s possible in your future. Although your company’s objectives and resources will normally suggest the most reasonable path, it’s important to establish a good working knowledge of both paths now, especially as new technologies and capabilities gains wider acceptance.

We’ll name these paths for their destinations: The Warehouse or the Lake. As you stand here are the fork in the data road considering which way to go, we’ve assembled a key to what these paths represent and a map to what could be waiting at the end of each road.

The Data Warehouse 

This well-worn path leads to a massive database ready for analysis. It’s characterized by the Extract-Transform-Load (ETL) data process. This is the preferred option for rapid access to and analysis of data, but it is also the only option for highly regulated industries where certain types of private customer data must be masked or tightly controlled.

Data transformation prior to loading is the key here. In the past, the transformation piece or even the entire ETL process would have to be hand-coded by developers, but it’s more common now for businesses to deploy pre-built server-based solutions or cloud-based platforms with graphical interfaces that provide more control for process managers. Transformation improves the quality and reliability of the information through data cleansing or scrubbing, removing duplicates, record fragments, and syntax errors. 

The Data Lake 

This new path how only recently begun to open up for wider use thanks to the massive storage and processing power of cloud providers. Raw, unstructured, incompatible data streams of all types can pool together for maximum flexibility in handling that data at a later point. It is characterized by the Extract-Load-Transform (ELT) data process. 

The delay in transformation can afford your team a much wider scope of possibilities in terms of data mining. Data mining introduces many of the tools at the edge of artificial intelligence, such as unsupervised learning algorithms, neural networks, and natural language processing (NLP), to serendipitously discover new insights hidden in unstructured data. At the same time, securing the talent and the software you need to refine raw data into information using the ELT process can still be a challenge. That is beginning to change as ELT becomes better understood and cloud providers make the process more affordable. 

Choosing the Right Path

To go deeper into all of these terms and strategies, consult our friends over: ETL vs ELT: Top Differences. You’ll find a nuts and bolts discussion and supporting illustrations that compare the two approaches in categories such as “Costs”, “Availability of tools and experts” and “Hardware requirements.” The most important takeaway is that the way we handle data is evolving along with the velocity and volume of what is available. Making the best call early on will have significant repercussions across both your market strategy and financial performance in the end. 

How to Develop an Online Platform for Healthcare Training

Regarding the pandemic situation, stationary education became difficult in any educational facility and any industry. Medical education differs from other faculties by its lack of opportunities to miss classes or skip the topic. The healthcare industry demands the highest quality of teaching and knowledge for future or current doctors. That’s why most medical facilities turned to online learning for their workers or students. There is a wide range of ready-made platforms that can be customized according to a particular course or establishment’s needs. However, many establishments are used by these platforms, and they can not cover all the required issues. The common problems that appear during online learning are:

  • absence of a single database for students documents and all courses;
  • there is no opportunity to gather students for practical pieces of training or lectures in the classroom, and it makes the studying process harder;
  • poor knowledge verification;
  • ready-made solutions are expensive for a vast number of medical workers or students.

Main features of Learning Management Systems

Learning management systems (LMS) have a basic range of features that are necessary for each e-learning platform. These platforms should be accessible for all members, simple to use, and suit the latest tech updates. Looking at the Capterra statistics below, you can see which healthcare facilities implement custom LMSs.

Learning Path

Medical, educational platforms differ a lot from simple educational services for schools or universities. Healthcare training is more complicated and has a comprehensive structure containing a lot of diverse modules and tests. Usually, the entire course is divided into several parts for qualifying the information. The topics’ logical organization creates a learning path that can contain learning videos and compendiums, a combination of several courses, quizzes, and tests to check the knowledge. Each module also has deadlines and specific criteria for marks. After finishing the learning path, students usually get certificates to prove their qualifications.

Webinars

Due to the pandemic situation worldwide, webinars have become the most popular way of e-learning for many industries, and healthcare is not an exception. Even before the quarantine, the practice of hosting webinars for studying medical workers was successful. This type of e-learning is flexible and available to everyone. Students can listen and share videos, pictures, or presentations in real-time, interact with a tutor, and ask questions if something is unclear. If the future doctors can not attend a particular lecture, they can watch it on the record. 🔎E-LEARNINGCheck more articles about e-learning and the digital era of education on our blog.

Reporting and analytics

E-learning platforms not only provide online courses for employees but also track their attendance and progress. It is essential to know the level of competencies of the medical workers. LMS provides custom reports and analysis for each course participant. Usually, reports contain valuable information like:

  • activities of all participants – their performance, grades, and tests completions; it also tracks time spent on learning and doing tests, the level of qualification, and the deadlines for finishing the course;
  • availability of certificates and tracking compliance requirements;
  • satisfaction with course – this option helps to improve or change the course or the learning system in case of need.

Mobile accessibility

Flexibility in the learning process is not a wish but a noticeable feature. Medical students have the most complex and stressful studying program among all other faculties. Due to e-learning systems, the educational process can be flexible and available for everyone. Each student or employee can independently choose the time for learning and create their schedules. It is also an excellent option to synchronize the course with the web platform and accessible from any devices like tablets or smartphones. Moreover, such a feature can attract and involve students more as it is flexible and convenient to do some tests anywhere. 

Cloud deployment

As the number of students for one system can be vast, a cloud-based solution is the best choice for developing a healthcare e-learning platform. It makes access more effortless as all users have to do is type the address in the browser. Cloud deployment also simplifies the process of system improvements and maintenance.

Standards compatibility

Healthcare e-learning is not just a simple language course. Medical learning platforms have to be highly qualified and professional systems that give the same knowledge level as a class studying. To make all these systems unified, there is a range of standards that should be considered during the development and implementation of such a platform.

  • SCORM or Sharable Content Object Reference Model includes the range of technical requirement for e-learning platforms; it is a guide for developers on how to integrate a new system with the existing ones;
  • xAPI – it helps to unite all information that will be available on the course and make it accessible for all users; it also provides sharing the data between different systems;
  • LTI or Learning Tools Interoperability is an educational technology developed by the IMS Global Learning Consortium; it lets users host the course tools and content from external systems or websites.

Blended learning 

Medical education is impossible without practice, so it means that online platforms for the healthcare industry are not enough. Some courses need offline learning, and Learning management systems has to support blended learning.Performance Management

The main aim of online continuing medical education is to keep a high level of studying performance and knowledge. The rank of management is beneficial for tutors and professionals who teach medical students or employees. LMS provides a set of needed features for the entire medical facility like:

  • insert data for documentation for state officials;
  • assigning additional training for employees with low qualification;
  • automatic tracking the assessments.

Gamification

Game elements are implemented to increase the motivation of students. It can be virtual awards and badges for completing the tests or course. Gamification shows the positive results in LMS as it involves the students more, and the learning process can bring more enjoyment as students have to complete the task to get a reward. 

Why do you need to implement custom LMS?

The most compelling variant of implementing e-learning service is developing custom Learning Management Systems considering particular medical facilities’ needs. LMS or Learning Management System makes all learning, testing, and grading processes easier, accessible, and productive. It replaces the real-time educational process and provides the same level of quality of studying. 

Custom LMS contains the range of functions that are obvious for your medical facility and fit its rank. All medical courses have to follow the standards of studying that we have counted above, but the content and information interpretation methods can differ. For example, each part of the information can be provided in diverse interactive ways to make it easier to learn and remember:

  • text, video, and audio-based seminars;
  • learning games;
  • availability of online discussion and forums;
  • different types of final tests or quizzes;
  • availability of sharing the info between students and tutors.

Many medical centers want to turn their offline training online. The custom solution accurately matches all requirements with no excess functions for an e-learning platform. It also easily can be synchronized with other internal systems in a less expensive way and include as many users as it is needed.

Victoria – Sales manager

Basic functionality for custom LMS

When you come up with the development of a custom Learning Management Systems, it is vital to reveal the weak sides of the existing learning system or accurately define the main objectives for a new solution for your medical facility. Each LMS contains a standard set of critical features. However, along with the required options, you can add any function you think is needed for your custom solution.

We want to bring to your attention the basic functionality for the development of LMS.

Admin panel

This function lets you set the responsible persons for definite courses or organizational tasks. Administrators usually have full access to all data and can add course information, change or delete it. They also create and add quizzes for each course, set hours and deadlines, upload required video, audio, or text documents for the learning process.

Range of courses

Each LMS provides a full cycle of education for different groups of medical workers or medical students. It consists of a fundamental and obligator program that has to be completed by each student. The programs usually contain several main courses with a final test for every course. You can also put additional courses that all workers or students should complete during the year. 

Reports

As admins are responsible for the flow of the educational process, they have to provide reports for the headers of each student’s medical facilities and certificates for governmental establishment. The number of medical workers can reach several thousand. Is it possible to handle all the data manually? The answer is clear – no. The probability of mistakes and mix-ups is huge, but admins have no right to errors in documents and certificates.

Learning Management Systems generates custom reports and certificates automatically and accurately for each course or student. 

Absence of skipping

This function is critical for healthcare e-learning systems. The students have to go through all learning stages, watch all videos, read all documents, and listen to all lectures or seminars. There should be no availability to skip any part of the course, including tests or quizzes in the end. 

Multi-language

Healthcare educational programs contain a lot of specific terms and titles. It is essential to make e-learning available for all students and workers and the process as simple as possible. The multi-language function is required to make the learning process highly qualified and clear for all participants.

Notifications

All medical students and workers who complete a definite course need to be notified about any updates or changes like test results, grades, upcoming lectures, or quizzes. Due to many people, the notifications should be set and sent automatically via email or internal system between medical workers. 

How to develop a custom LMS?

The development of custom solutions has a stable workflow and main stages. Among them, we would like to define:

  • building a business plan considering customer`s need and aims
  • writing specifications of the project
  • creating the design
  • writing the code
  • testing the systems
  • release and maintenance

For building own Learning Management Systems from scratch, you need to find and hire a dedicated team of developers with experience in developing and implementing LMSs. Each phase of development involves a particular specialist. Each stage’s time and cost depend on the set of functions required for your custom LMS, including the number of potential students, various courses, grade system, etc. 

For starting developing a custom LMS, you will need a full team of DevOps to build and successfully implement the new system to the medical facility:

  • Business Analyst – a key person who helps to reveal the objections that will be resolved with the solution thanks to marketing research in the industry and build the strategy of reaching the goals to boost the productivity of healthcare e-learning;
  • Scrum master – a specialist, is responsible for constant communication with customers to keep them up to date on the progress of development and organization of the workflow of DevOps;
  • Designer – this specialist aims to make your system interface user-friendly, creative and recognizable simultaneously;
  • HTML\CSSPHP backend – these developers are responsible for writing clean code for the solution;
  • Manual QA – testing is a crucial part before the releases, as QA specialists make stress tests for the solution to reveal any error or bug during the usage.

We want to bring to your attention an MVP estimation of developing an LMS system with basic functionality mane by our team of developers. The total cost and hours for each developer can vary depending on your custom solution’s specifications and aims. The approximate total cost of development of an LMS is $53730.

DevOpsHoursCost
Business Analyst238$7616
Scrum master414$9936
Admin39$897
HTML\CSS172$2752
PHP backend993$24825
Design83$1909
Manual QA305$5795

We also would like to say a few words about the importance of your system maintenance. 

Once you have decided to build and integrate your internal system with a custom solution, the development process doesn’t stop at the phase of release. A custom system needs constant support from developers if needed for updates, changes, or widening the platform. Our developers’ team is also available for maintaining your project after the release stage and usually picks the suitable package with different conditions for your needs.

The price depends on the number of specialists involved in your solution:

Basic – It involves a Business Analyst, a Scrum master, Backend developers, and QA. The cost is $1740 and can vary depending on the required hours of work.

Optimal – This package engages Business Analyst, Scrum master, Frontend developer and tech lead, QA specialist. The average price is $3232, and it is not fixed as it depends on the duration of work.

Advanced – This maintenance package involves the same specialists as the optimal, but it provides more hours spent on your solution and more options as a support team. The price is about $14400.

📌Why is custom LMS better than ready-made system?

Learning Management Systems should respond to all needs of your medical facility and be synched with the existing internal systems accurately. There is a huge risk that ready-made would not fit all your requirements. Moreover, custom LMS is less expensive as you invest in the development and maintenance despite the number of workers and amount of data. Ready-made solutions are not scalable and very expensive for a vast number of students.

📌How much does custom LMS cost?

We provided a detailed MVP estimation of custom LMS for medical training in our article. The average price of the development process is $53730.

📌Does the level of students` engagement stay the same?

Medical e-learning is more complicated than studying in other faculties. The educational system should convenient and accessible to all students. That’s why each medical student should have access to courses from any device and any place. there is also a need for adding game elements to studying courses to make it more involving and attractive.

All in all

The need for custom educational internal systems is urgent for most medical facilities and faculties. All of them want to achieve the same online education level as it was at the stationary variant. Ready-made healthcare e-learning can not cover all specifications of this type of education as Learning Management Systems must be accessible for each medical worker.

Supporting many users and huge amounts of data and information is a complicated and expensive task. Usually, ready-made LMSs provide learning for a small group of people and demand a month or year subscription paying for each member of a system. Instead of coping with these complexities, we recommend building and integrating your own custom LMS considering the medical facility’s specifics, its audience, directions of learning, and methods on how to reach the qualification goals with online education.

Healthcare Benefits Management Platform Trends

Collective Health, founded in 2013, offers employers a way to knit together various health benefits – medical, prescription drug, dental, vision, and other specialized offerings — on a single technology platform. Among its new investors is Health Care Service Corporation, a major seller of Blue Cross Blue Shield health plans, as an investor and business partner. HCSC’S self-insured employer clients will be able to opt-in to use Collective Health’s systems, giving them a complete view into what they pay for health care.

Collective Health Raises $280M in Funding

According to researcher CB Insights, globally, investors put $31.6 billion into healthcare ventures in the first quarter, a record high. The average size of digital-health deals jumped 45% from last year to about $46 million in the quarter, data from investment firm Rock Health show. Collective Health’s recent investments bring its total fundraising to about $720 million.

Health care “needs to become like anything else that you buy for the enterprise: a primary data driven-decision,” Ali Diab, Collective Health’s co-founder and chief executive officer, said in an interview. “Benefit leaders, finance leaders, and executives have not had the ability to make truly data-driven decisions in terms of what kind of health care they procure for their populations, and they need to be able to do that.”

Employers using Collective Health still rely on insurance carriers to contract with networks of medical providers. But the company takes over some functions that traditional health plan administrators perform, like claims processing and customer service. Collective Health also analyzes claims data to recommend treatment options to members.

The San Francisco-based company has more than 500 employees and serves about 300,000 members across more than 55 companies, Diab said. Customers typically have at least 1,000 employees and are self-insured. They pay the medical costs for their health plans directly and rely on insurance carriers only for administrative functions like contracting with doctors. Collective charges clients a per-employee-per-month fee for its service. Customers include Live Nation, Pinterest, and Red Bull.

HCSC, a 16 million-member insurer that operates Blue Cross Blue Shield health plans in Illinois, Montana, New Mexico, Oklahoma, and Texas, was searching for technology that would improve the experience of both clients and their plan members.

“Health care is rather fragmented today, so we were looking to eliminate the fragmentation and really try to make giant steps in terms of technological improvement in the minds of our members and employers,” said Kevin Cassidy, HCSC’s chief growth officer.

The deal with the insurer will accelerate Collective Health’s reach with large employers, said Mohamad Makhzoumi, who leads the Global Healthcare Investing practice at venture firm New Enterprise Associates, Inc.

NEA first invested in Collective in 2014. Diab had no customers or even a beta product at the time – simply “a really nice slide deck,” Makhzoumi said. Even with hundreds of thousands of members now, Makhzoumi said the challenge ahead for Collective Health is whether it can reach a scale needed to get the attention of the largest companies in the market.

Digital health startups can have trouble gaining traction with larger companies in the $4.2 trillion U.S. healthcare industry, he said. “It’s kind of like, wake me up when you have a million lives,” he said, adding that he believes Collective Health will get there. Today one company can use up to 20-30 digital solutions, and even this number is not always able to satisfy all the company’s needs and employees. We will not talk about the loss of time between switching applications and searching for information there. We support Collective Health’s approach that all data should be available from a single source. This approach allows you to save resources significantly, plus users are more willing to use such solutions since they do not need to remember a bunch of passwords and constantly log into different systems. The one-stop-shop solution is the most popular digital solution among enterprises. A multifunctional service unites all tools and resources in one place and provides access to workflow programs, task scheduler, video conferencing platform, staff training, and many other possibilities depending on the company’s needs. One of the main advantages of such a resource is user access to internal resources and tools from any device or anywhere globally, necessary for modern realities.

If your company already uses a dozen applications, think of a comprehensive tool like a custom OMNI portal. The solutions will take your business to the next level and open doors to new opportunities.

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

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

Geeklist

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

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. 

Snipplr 

Masterbranch

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. 

Masterbranch 

Stackoverflow

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

Stackoverflow 

… 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.

Outsourcing

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.

Pros

  • 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.

Cons

  • 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.

Pros

  • 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.

Cons

  • 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.

Conclusion

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

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® ERP

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.

Conclusion

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?

Introduction:

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.

https://en.wikipedia.org/wiki/Minimum_viable_product

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 2022

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.

GitHub

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.

Prices:

  • 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

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.

Prices:

  • 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

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.

Prices:

  • 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

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.

Wrap-up

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. 

Wikipedia

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.

Pros:

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.

Cons:

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?

Concurrency

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.

Scalability

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.

3Commas

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.

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.

Conclusion

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.

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.

Links

https://www.linkedin.com/pulse/best-practices-when-versioning-release-faruque-hossain/

https://dzone.com/articles/how-to-version-your-software

https://support.apple.com/en-us/HT201685

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.

👍 NSFW

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

Result

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

4. DCGAN

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.

https://www.vice.com/en/article/8xzjpk/github-removed-open-source-versions-of-deepnude-app-deepfakes

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”.

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');

console.log(
  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');

console.log(
  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": [
      "error",
      "always",
      {
        "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

or

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:

{
  "scripts":{
    "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.

Security

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.

Conclusion

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