12 Principles To Guarantee Project\’s Quality (Part 2)

In part one of this article, I told you about 6 Principles To Guarantee Project’s Quality. Here are 6 things left to create the perfect quality for a technology project.

7. Hold a kickoff meeting

As the first meeting between members of the project team and, potentially, the client or sponsor, the kick-off meeting is an excellent opportunity to establish expectations and create strong team morale.

Your kick-off is a time to introduce the team to the project, decide on teamwork, and set project goals and check-ins. You might want to outline how you’ll communicate, meet, and what could slow down the process (and how to avoid that).

Our typical project kick-off meeting agenda:

  • Team Roles – introduce team and what they will be responsible for.
  • Vision statement – like “For <customer>, the <project name> does / provides / solves <problem / solution statement>. Unlike <competitor / comparison point>, it will <differentiator>.”
  • Project Scope – You present the MVP features we need to deliver. It would be great to cover also a high-level epic journey: What user personas are involved? Where it fits in the user experience? NOTE: people will know the documentation you provided before the meeting.
  • Timeline and Metrics – Sponsor presents his point of view on Trade-off so we can make smaller decisions quickly and autonomously. Refer to the Trade-off Sliders play for full instructions.
  • Success factors (group session) – to engage people. Ask everyone to write down what they think will make this project a success. Have the team post up their ideas. Discuss how you could measure each one.
  • RAID (group session) – like the previous sessions, but focusing on risks.
    • Risks – things that could happen, and would affect the quality, timing or cost of the project (or a combination).
    • Assumptions – things that are currently true and form the basis for a plan, but any change in them would create risk or issue.
    • Issues – things that have already happened that adversely affect the project.
    • Dependencies – things that need to be done or provided, either once or regularly, to make the project a success.
  • Team communication plan – Here I will discuss how we will communicate – how often, in what form, etc.

8. Prepare and estimate the project requirements using Planning Poker

The project requirements have to be listed out and then estimated. Scrum and agile methodologies approaches require that you create a Product Backlog for this task. Once you have your list, you should leave the estimation to the people who will be working on those items. In Agile management, the estimation must be done by someone on the team to be considered valid.

Planning Poker ends up with assigning a score for each item on the list. Note that scores represent the amount of effort each item will require. They haven’t been attached to a timeline yet.

Planning Pocker estimating method brings multiple benefits for the project:

  • encourages team collaboration and team building
  • conversational style can provoke valuable insights from software development team who might not have a platform to discuss their opinions and experiences otherwise
  • requiring individuals to defend their predictions results in estimates that more adequately adjust for missing data
  • improves estimate accuracy, especially on items with a lot of uncertainty

9. Measure work progress using the definition of “done”

While Agile software development teams are defined as cross-functional, they come with some limits. For example, not every software development project will include a lawyer in their team.

The limited nature of cross-functional teams is used to gauge how much the team will deliver in each cycle. If something appears and it is outside the team’s knowledge, it will be done pre-work or at the end of the cycle or even concurrently with the development team.

To obtain a better understanding of this work you can create an organization-wide value stream map for project delivery. By creating this map, you will find out the amount of time spent on each type of work. If you take out the work that has to be done by the Agile team, you will obtain a clear image of the work that needs to be done outside the team.

The amount of work found in the value stream map is a good start for setting up the budget based on the project’s cycle labor costs.

10. Do risk assessments regularly

Every project comes with risks. Risks are problems that may arise over the course of project development. Project management has the task of identifying and reducing risk beginning at the project planning phase. We recommend you plan a meeting to discuss this or simply ask all the team members about what risks may arise.

When considering risks, you should look into these areas:

  • Project Scope
  • Resources (staff, financial, and physical)
  • Project delays
  • Failures of Technology or Communication

Complete control over all potential risks is impossible, so you should focus on considering them early on to avoid project failure.

Here’s an example of the technical risk management plan:

11. Communicate, Communicate, Communicate

Agile manifesto encourages developers to communicate better by putting team collaboration. When using agile model, the team members work closely with the stakeholders, resulting in improved decision making, and better customer satisfaction. Using task management software can help increase efficiency.

Keep in mind that agile methodology needs solid communication between the client and the offshore development team to achieve project goals and ensure proper software delivery.

Honesty is important in this relationship. Because of some cultural differences, a common situation is that software developers avoid speaking their minds for fear of upsetting the client. Sometimes misunderstandings can appear, caused by filling the knowledge gaps with wrong information.

Frequent team visits and other team building activities are a great addition, but communication tools, outsourcing vendor company culture and business processes guarantee outsourcing model success.

The point is that there’s nothing such as over-communication in agile software development. To set the project for a great result, we recommend setting up as many communication channels as you can.

Communication In Agile

Outsourcing vendor appoints at least one member in their team who speaks fluently in the client’s native language to represent the client accurately. This person’s role usually falls into the categories of Engineering Lead or a certified Scrum professional. You should consider an individual that can hold this responsibility, and it’s known to be reliable.

On the other side, clients have to name a dedicated representative, that is very familiar with the knowledge and can communicate efficiently with the offshore development team.

Poor Communication Strategy

The client’s representative is usually authorized to accept changes or approve work.

12. Continually seek excellence

12 Principles To Guarantee Project\’s Quality (Part 1)

When you implement agile outsourcing it might appear incompatible to merge agile processes and outsourcing. The agile techniques, with its emphasis on collaboration, frequently contrasts with the traditional outsourcing paradigm, which necessitates contracting with providers whose employees are educated primarily to follow direction rather than collaborate.

By mixing in-house and vendor teams you can still implement agile methodology while continuing to outsource and have benefits such as lower fixed costs and increased access to desirable skill sets. The key to success with agile outsourcing is to get a partner that can handle the dynamics of validated learning smoothly with a solid software development process, both on the software design and engineering side.

1. Guide your product vision with validated learning

In the beginning, you should focus on defining the goals, business value, and success criteria of your project. By doing this you gain a clear image of your intentions and ideal endpoint. You need straightforward goals to be able to create a realistic plan to accomplish them and achieve client’s long term success.

Our advice for creating a solid plan for your project is to look at the bigger picture. These next questions can help you do that:

  • Are you addressing a specific problem? Can you define the problem?
  • What is the end goal?
  • Which team members will be essential for this project?

After you finished outlining your goals you can follow these steps to plan the delivery:

  • Agree on the necessary features
  • Establish the amount of work your team needs to complete for every sprint
  • Include interactions and stories until you reach maximum capacity
  • Show your plan and gather opinions and feedback on it

Learning is the key ingredient for a successful agile software development project. You have to adopt hypothesis-driven experimentation, iterative product releases, and validated learning.

If you aim to improve your software development process, you need to take into account learning, especially when you bring the lean aspect into it. Build vision pivots. While software developers are not a fan of them, they can’t be missing if you want a successful project. In the case of wrong-produced hypotheses, they can be changed immediately.

2. ​​Identify all stakeholders (and involve them in the process)

Every project has multiple stakeholders, and you can’t expect all of them to be participating in every detail of the project. When we say project stakeholders:

  • company leadership
  • end-users
  • customers

Outsourced projects can differ in nature, so sometimes, you can expect stakeholders outside organizations or even individuals that will use or be directly affected by the final product. Let’s see why you have to involve stakeholders in the agile development process:

  • stakeholders can provide valuable expertise regarding processes, historical information, or even industry insight.
  • by engaging your stakeholders, you will reduce risks and uncover them faster
  • early users enable your team to evaluate the project outcomes sooner
  • engaging and involving stakeholders regularly from the beginning will lead to a higher chance of a positive project conclusion

3. Manage project scope, budget, and timeline in each iteration

Scope, budget, and timeline are at the heart of project management. We highly recommended to start agile software development project with:

1. Approximate estimations based on your goals 

You will obtain an initial figure that will represent the total estimated cost for the project. This estimation is built on information from the sponsor regarding the expectations and requirements for the product. Here we have to include target users, purpose, and what issue or problem it is intended to solve.

2. Product discovery workshop 

This event should mark the start of every project. In this event, you have to gather the whole development team, including scrum masters and project owners, and review the business idea and the details of the future product. By doing this, the team can better identify the required work and budget.

The main discussion points in these workshops are:

  • The goal of the product and the business idea behind it
  • User stories
  • The product’s maturity
  • Possible solutions
  • Risks associated with the project
  • Choices regarding technology

The agile approach makes budget management is a shared responsibility. The Product Owner manages the backlog, the sponsor agrees on the budget, and the team delivers the backlog and spends or manages the sprint budget within agreed constraints.

The final step consists of planning a timeline of the stages you will go throughout the project. You have to break down the tasks that must be completed and connect them to your budget and team to obtain an initial estimate of the project timeline.

Even after completing all these steps, you will still be confronted with a high uncertainty level, which is typical for software development. We advise you to allocate extra time to complete the tasks or bring a project manager to guarantee that project progresses fast enough to meet deadlines.

In agile model, the scope, budget, and timeline are under constant pressure from new discoveries from users’ and customers’ feedback. That’s why it’s very important to establish a product discovery team. Rember that your goal is working software!

4. Establish a product discovery team

Proper, ongoing requirements analysis and planning are critical to software development. As a result, changing prediction techniques is difficult because the development process follows the plan to a tee.

Agile software development, on the other hand, necessitates the capacity to make changes quickly. At any point during the development process, changes can be made. This requires you to be always ready to act based on new deliverables and quickly update design and requirements.

This design team needs to be constantly validating project deliverables. The reason for this is simple: in case something goes wrong, they can quickly pinpoint where it went wrong.

Sometimes change is inevitable so this means your team needs to plan a process to manage scope change, so the project doesn’t suffer later. Your project needs a strong foundation to prevent any unplanned changes in project scope, timeline, or budget.

5. Bring Experienced Engineering Leader

Building an engineering team starts with a high-performing leader, who brings in technical capabilities and chooses necessary technology talent to accomplish the work. A strong leader can advise clients, managed remote teams, and protects you from poor team coordination, and quality assurance issues.

Finding the right Engineering Leader with both technology competency and who can advice customer in agile projects can prove to be a real challenge. But you do have the option of hiring somebody with experience in your domain, and with many projects under his belt is essential.

Outsourcing software development services will spare you from doing the effort of searching, interviewing and hiring, and provide you with an ideal team picked according to your needs.

At SoftKraft we are true software partner and we have dedicated development tracks to ensure talent pool for Engineering Leader position. Our Engineering Leaders not only to handle the technology, and team, but also work towards client’s long term success on all levels. For example, they are capable of joining your design team and contributing to the product development process.

The 5 most popular programming languages in 2022

Have you ever wonder, which is the best programming language to learn and use in 2022? Should it be the language that you are already familiar with, or should it be an additional language adding to your tech stack in order to lead you to a higher paid job?

That is actually not a simple question to answer. Right now, some programming languages are becoming so popular and saturated in the market, while the others are more trending but does not known by business employers. 

Choosing programming language to learn also depends on what you planning for your career. If you are planning to become a backend web developer, you must know about SQL, JavaScript or Python, or if you are planning to become a mobile developer, Dart, Java or Swift is the right choice for you. Here are some current trending programming languages for 2022:

  • JavaScript
  • Python
  • Java
  • Go
  • TypeScript
  • SQL
  • Ruby
  • Swift
  • Kotlin
If you want to know more and specifically about backend develop, take a look at out blog about backend programming language
Stack Overflow survey - Most commonly used programming languages

You can go straight ahead to the Stack Overflow site to view this survey.

Below are some suggestions, views and thought about those programming languages, with that, you can choose the right “tool” for yourself.

The 5 most popular and trending programming languages in 2022

1. JavaScript

Base on Stack Overflow (a popular forum website for developer) survey in 2020, JavaScript has an 8-year-in-a-row be the most popular language in the market, that’s why it’s also stay on top of our list. Nearly 70% people who participate in the survey said that they have used this language in the past year. Along side with HTML and CSS, JavaScript are becoming a mandatory component for web frontend develop. Almost every website nowadays, including the big ones like Facebook, Twitter, Gmail and YouTube, are based on JavaScript to deliver contents and services to their users.

Although born as a frontend language, JavaScript is now can also be used on the server side as a backend one. This creates a runtime environment on the backend server call the Node.js, which helps developers with building web application. Node.js is compatible with almost every OS like Linux, SunOS, Mac OS X and Windows. Moreover, this language has a dynamic syntax, easy to use and work on every browser, really friendly for the newbie. 

2. Python

As of 2022, Python is definitely the best programming language to learn. It topped the list of popularity ratings recently. Everyone who didn’t know it seemed to want to join.

Despite the popularity and sheer number of people with Python skills, it’s a language that many job providers are asking for and paying pretty well.

So what makes Python the thriving language it is now? Although it’s been around since 1991, Python has made a recent comeback and here’s why:

  • It’s easy to write so it’s easy to learn. The readable syntax means you no longer have the headache of looking at your code.
  • At the same time, it is both powerful and extremely versatile. Python can do almost anything. You can use it to write apps, break into high paying tech industries like machine learning or even in web development. And it’s all possible through a wide range of frameworks and libraries, from Django to TensorFlow and to NumPy.
  • The evolution of Python as a language has been amazing and it shows no signs of stopping. This means more jobs, courses, libraries and resources are available to you.

The problem is that Python has been popular for so long that it can easily become oversaturated. The flexibility of the languages ​​alleviates that somewhat, but it’s still something worth reconsidering.

3. Java

The list would be so inaccurate if there aren’t any place for Java. No matter how ancient it may be, job recruiters still can’t seem to get enough.

Java is one of the most powerful programming languages ​​available today, used on more than 15 billion trending technology devices, desktop applications, mobile applications, web development, artificial intelligence. , cloud applications… So, if studying and succeeding in this technology, learners can have very high salaries, good development opportunities and be recognized globally.

Java has some outstanding features such as platform independence, object-oriented programming, enhanced productivity, performance and security, the most secure in terms of security. Many companies are working on Java including Amazon, Adobe, Flipkartv, Instagram…

In addition, if you are already familiar with Java, you can continue with Scala – a language that combines the best features of Java such as object-oriented structure or JVM high-speed environment.

4. Go

Well, here we Go.

Go, aka Golang, is a language favored by Google. It is also one of the best choices for beginners and one of the easiest programming languages ​​to learn. Released in 2012, it is relatively new, so there are still many developers interested in accessing it.

Go is more akin to C-based languages ​​than Python. One of its main uses is developing systems like servers and networking, although you can also use it to create apps or anything else.

As a new language, it may be easier for you to get a job without competing or having more experience. It will also help with your resume, especially coming from Google and many other companies.

5. TypeScript

What is TypeScript? – As a language given to us by Microsoft for free, the foundation of TypeScript is more or less related to JavaScript because it is an open source JavaScript language. TypeScript’s role is to design and build complex large-scale application projects. 

Different from the simplicity of JavaScript, although TypeScript also inherits many definitions and concepts from various languages like C#, Java, etc., but TypeScript has high requirements for clear order. 

TypeScript is considered a more advanced version of JavaScript because it is designed to add more convenient functions, improve on the weaknesses of JavaScript such as object-oriented classes and Static Structural typing, besides TypeScript also can work widely for applications of Angular2 and Nodejs languages.

Conclusion

Why need a long, and meaning-less conclusion when you can just jump right in to 1 of the above and deep dive into it.

All of the above programming languages are mainstream in the tech industry and have a pretty good trending, making it continue to grow and create jobs. That means that when you choose any one of the above languages, it will sure have a pretty good prospect with that choice.

Okay, that’s it all, see you in other blog.

The Top 10 Tech Trends In 2022 Everyone Must Be Ready For Now

As a futurist, every year, I look ahead and predict the key tech trends that will shape the next few months. There are so many innovations and breakthroughs happening right now, and I can’t wait to see how they help to transform business and society in 2022.

Let’s take a look at my list of key tech trends that everyone should be ready for, starting today.

1. Computing Power

What makes a supercomputer so super? Can it leap tall buildings in a single bound or protect the rights of the innocent? The truth is a bit more mundane. Supercomputers can process complex calculations very quickly.

As it turns out, that’s the secret behind computing power. It all comes down to how fast a machine can perform an operation. Everything a computer does breaks down into math. Your computer’s processor interprets any command you execute as a series of math problems. Faster processors can handle more calculations per second than slower ones, and they’re also better at handling really tough calculations.

Within your computer’s CPU is an electronic clock. The clock’s job is to create a series of electrical pulses at regular intervals. This allows the computer to synchronize all its components and it determines the speed at which the computer can pull data from its memory and perform calculations.

When you talk about how many gigahertz your processor has, you’re really talking about clock speed. The number refers to how many electrical pulses your CPU sends out each second. A 3.2 gigahertz processor sends out around 3.2 billion pulses each second. While it’s possible to push some processors to speeds faster than their advertised limits — a process called overclocking — eventually a clock will hit its limit and will go no faster.

As of March 2010, the record for processing power goes to a Cray XT5 computer called Jaguar. The Jaguar supercomputer can process up to 2.3 quadrillion calculations per second [source: National Center for Computational Sciences].

Computer performance can also be measured in floating-point operations per second, or flops. Current desktop computers have processors that can handle billions of floating-point operations per second, or gigaflops. Computers with multiple processors have an advantage over single-processor machines, because each processor core can handle a certain number of calculations per second. Multiple-core processors increase computing power while using less electricity [source: Intel]

Even fast computers can take years to complete certain tasks. Finding two prime factors of a very large number is a difficult task for most computers. First, the computer must determine the factors of the large number. Then, the computer must determine if the factors are prime numbers. For incredibly large numbers, this is a laborious task. The calculations can take a computer many years to complete.

Future computers may find such a task relatively simple. A working quantum computer of sufficient power could calculate factors in parallel and then provide the most likely answer in just a few moments. However, quantum computers have their own challenges and wouldn’t be suitable for all computing tasks, but they could reshape the way we think of computing power.

2. Smarter Devices

Smart devices are interactive electronic gadgets that understand simple commands sent by users and help in daily activities. Some of the most commonly used smart devices are smartphones, tablets, phablets, smartwatches, smart glasses and other personal electronics. While many smart devices are small, portable personal electronics, they are in fact defined by their ability to connect to a network to share and interact remotely. Many TV sets and refrigerators are also therefore considered smart devices.

3. Quantum Computing

Quantum computing is a rapidly-emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers. 

Today, IBM Quantum makes real quantum hardware — a tool scientists only began to imagine three decades ago — available to thousands of developers. Our engineers deliver ever-more-powerful superconducting quantum processors at regular intervals, building toward the quantum computing speed and capacity necessary to change the world. 

These machines are very different from the classical computers that have been around for more than half a century. Here’s a primer on this transformative technology.

For some problems, supercomputers aren’t that super.

When scientists and engineers encounter difficult problems, they turn to supercomputers. These are very large classical computers, often with thousands of classical CPU and GPU cores. However, even supercomputers struggle to solve certain kinds of problems.

If a supercomputer gets stumped, that’s probably because the big classical machine was asked to solve a problem with a high degree of complexity. When classical computers fail, it’s often due to complexity

Complex problems are problems with lots of variables interacting in complicated ways. Modeling the behavior of individual atoms in a molecule is a complex problem, because of all the different electrons interacting with one another. Sorting out the ideal routes for a few hundred tankers in a global shipping network is complex too. 

4. Datafication

Datafication refers to the collective tools, technologies and processes used to transform an organization to a data-driven enterprise. This buzzword describes an organizational trend of defining the key to core business operations through a global reliance on data and its related infrastructure.

Datafication is also known as datafy. An organization that implements datafication is said to be datafied.

Organizations require data and extract knowledge and information to perform critical business processes. An organization also uses data for decision making, strategies and other key objectives. Datafication entails that in a modern data-oriented landscape, an organization’s survival is contingent on total control over the storage, extraction, manipulation and extraction of data and associated information.

5. Artificial Intelligence and Machine Learning

As a whole, artificial intelligence contains many subfields, including:

  • Machine learning automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without being explicitly programmed where to look or what to conclude.
  • A neural network is a kind of machine learning inspired by the workings of the human brain. It’s a computing system made up of interconnected units (like neurons) that processes information by responding to external inputs, relaying information between each unit. The process requires multiple passes at the data to find connections and derive meaning from undefined data.
  • Deep learning uses huge neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data. Common applications include image and speech recognition.
  • Computer vision relies on pattern recognition and deep learning to recognize what’s in a picture or video. When machines can process, analyze and understand images, they can capture images or videos in real time and interpret their surroundings.
  • Natural language processing is the ability of computers to analyze, understand and generate human language, including speech. The next stage of NLP is natural language interaction, which allows humans to communicate with computers using normal, everyday language to perform tasks.

Does AWS offer a backend as a service?

A majority of organizations are transforming to cloud-based models to enhance user productivity, facilitate a mobile workforce, and obtain an ROI by decreasing the burden of managing IT resources.

Cloud-based models like Amazon Web Services with Backend-as-a-Service (AWS Amplify) are allowing businesses across the globe to stay both current and competitive.

What is a Backend-as-a-Service?

Backend-as-a-Service (BaaS) is a cloud service model in which developers outsource all the behind-the-scenes aspects of a web or mobile application so that they only have to write and maintain the frontend. BaaS vendors provide pre-written software for activities that take place on servers, such as user authentication, database management, remote updating, and push notifications (for mobile apps), as well as cloud storage and hosting.

Think of developing an application without using a BaaS provider as directing a movie. A film director is responsible for overseeing or managing camera crews, lighting, set construction, wardrobe, actor casting, and the production schedule, in addition to actually filming and directing the scenes that will appear in the movie. Now imagine if there was a service that took care of all the behind-the-scenes activities so that all the director had to do was direct and shoot the scene. That’s the idea of BaaS: The vendor takes care of the ‘lights’ and the ‘camera’ (or, the server-side* functionalities) so that the director (the developer) can just focus on the ‘action’ – what the end user sees and experiences.

BaaS enables developers to focus on writing the frontend application code. Via APIs (which are a way for a program to make a request of another program) and SDKs (which are kits for building software) offered by the BaaS vendor, they are able to integrate all the backend functionality they need, without building the backend themselves. They also don’t have to manage servers, virtual machines, or containers to keep the application running. As a result, they can build and launch mobile applications and web applications (including single-page applications) more quickly.

What is AWS?

AWS (Amazon Web Services) is a comprehensive, evolving cloud computing platform provided by Amazon that includes a mixture of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings. AWS services can offer an organization tools such as compute power, database storage and content delivery services.

AWS launched in 2006 from the internal infrastructure that Amazon.com built to handle its online retail operations. AWS was one of the first companies to introduce a pay-as-you-go cloud computing model that scales to provide users with compute, storage or throughput as needed.

AWS offers many different tools and solutions for enterprises and software developers that can be used in data centers in up to 190 countries. Groups such as government agencies, education institutions, nonprofits and private organizations can use AWS services.

Does AWS have a Backend-as-a-Service?

Yes, AWS has a BaaS and the service’s name is AWS Amplify

AWS offers many services, and the one that is gaining momentum is AWS amplify. AWS Amplify is a full-suite collection of services specifically structured to ease the developing and launching capabilities of mobile and web app developers. 

AWS Amplify makes user experience convenient by unifying the UX across various platforms. It makes full-stack development easier with its scalability and gives users the flexibility to choose the platform they want to run the app on. Most importantly, it allows users to integrate a range of functions securely and quickly with the developed app. 

Now, let’s look into the features of AWS mobile backend service.

  • Authentication

AWS Amplify features a fully operated user directory and pre-designed multi-factor authorization workload to help developers create faultless onboarding flows. It also allows users to log in through various social media platforms. 

  • Security and Storage

AWS Amplify offers an easy and secured data storing option. App developers can securely sync information between various applications with the help of Amazon S3 and Amazon AppSync. Users are also allowed to synchronize easy offline procedures. 

  • Analytics

AWS Amplify allows developers to track web page metrics and user sessions for analytics. The service features an auto-tracking procedure to get access to real-time data and analyze it for gaining customer insight. Amplify supports building marketing strategies to drive customer retention and engagement. 

  • Storage

AWS Amplify manages and stores user-generated content, such as photos and videos on the cloud. All these functions are operated through a simple mechanism followed by the AWS Amplify storage module that manages user content and protects the storage buckets. 

Now, let’s look into the advantages of AWS Amplify.

  • UI-Driven

AWS Amplify supports UI-driven, fast, and easy approach to developing web and mobile applications. With this modern UI component, developers do not have to code any app and the CLI processes make the app development process easier, simplifying the workflows and speeding up the app development process. 

  • Usage-Based Payment

AWS Amplify offers a usage-based payment option. Users have the authority to choose from various services. The flexible and cost-efficient feature of AWS Amplify requires its users to pay only for the services they choose.

  • Start for Free

AWS Amplify requires its users to set up a paid tier only after they achieve an optimum number of technical requirements. 

Top 10 Backend Programming Languages

All server-side operations and interactions between the browser and database are referred to as backend development. Servers, databases, communication protocols, operating systems and software stack are the core tools used in backend development.

JavaScript, PHP, Python, Java and Ruby are the known backend programming languages that most backend developers are using nowadays.

A survey of W3Techs claims that PHP is the most used backend language. Around 79.2% of web applications are using PHP as server-side applications.

On the other hand, Stack Overflow’s 2020 Developer Survey shares that JavaScript is the top most used scripting language. Indeed, JavaScript got 69.7%, Python earned 41.6%, and PHP received 25.8% votes from professional developers in this survey.

1. JavaScript

JavaScript (JS) is a lightweight, interpreted, or just-in-time compiled programming language with first-class functions. While it is most well-known as the scripting language for Web pages, many non-browser environments also use it, such as Node.jsApache CouchDB and Adobe Acrobat. JavaScript is a prototype-based, multi-paradigm, single-threaded, dynamic language, supporting object-oriented, imperative, and declarative (e.g. functional programming) styles. Read more about JavaScript.

This section is dedicated to the JavaScript language itself, and not the parts that are specific to Web pages or other host environments. For information about APIs that are specific to Web pages, please see Web APIs and DOM.

The standards for JavaScript are the ECMAScript Language Specification (ECMA-262) and the ECMAScript Internationalization API specification (ECMA-402). The JavaScript documentation throughout MDN is based on the latest draft versions of ECMA-262 and ECMA-402. And in cases where some proposals for new ECMAScript features have already been implemented in browsers, documentation and examples in MDN articles may use some of those new features.

Do not confuse JavaScript with the Java programming language. Both “Java” and “JavaScript” are trademarks or registered trademarks of Oracle in the U.S. and other countries. However, the two programming languages have very different syntax, semantics, and use.

2. PHP

PHP (originally stood for Personal Home Page, then renamed to Hypertext Preprocessor) is an open-source server-side scripting language, developed in 1994 by Rasmus Lerdorf specifically for the web. What now makes PHP different than, for example, JavaScript is that the code is executed on the server, generating HTML which is then sent to the client. The client receives the results of running that script but doesn’t know what the underlying code was. 

Since its creation, PHP has become extremely popular and successful – almost 80% of websites are built in PHP, including web giants like Wikipedia, Facebook, Yahoo!, Tumblr and many more. PHP is also the language behind the most popular CMS (Content Management Systems) such as WordPress, Joomla, Drupal, WooCommerce and Shopify. PHP is a universal programming language that allows for building landing pages and simple WordPress websites, but also complex and massively popular web platforms like Facebook. 

PHP is also considered as easy to learn (at least on an entry-level) and, according to StackOverflow’s annual survey, is the most popular programming language of 30% of software developers. 

3. Ruby

Rails, or Ruby on Rails, is an open-source framework written with the Ruby programming language and founded in 2003 by David Heinemeier Hansson.

Ruby on Rails companies don’t have to rewrite every single piece of code in the process of web application development, thus reducing the time spent on basic tasks.

The number of websites built with the framework account for 350,000+ all over the world, and this number is rapidly growing.

Open Source status is the first thing to take into consideration when choosing the right back-end framework. This means Ruby on Rails is free and can be used without any charge.

The past few years have provided us with many success stories of startups that were able to launch a new web project on Ruby on Rails and acquire their first customers — all within a few weeks. Everything is possible thanks to a huge community and the support you can get as a result.

Benefits of Ruby on Rails Framework

  • Ruby on Rails MVC
  • Extensive ecosystem
  • Consistency and clean code
  • DRY
  • High scalability
  • Security
  • Time and cost efficiency
  • RAD
  • Self-documentation
  • Test environment
  • Convention over configuration

4. Python

Python is a general-purpose programming language used in web development to create dynamic websites using frameworks like Flask, Django, and Pyramid. For the most part, Python runs on Google’s Apps Engine.

Unlike Java which is a compiled language, Python is an interpreted language. It is generally slower than the compiled languages. This makes Python lose to Node.js in terms of performance.

Python is not suitable for apps that require high execution speed. This is because of the single flow of code in Python which leads to slow processing of requests. Python web applications are therefore slower.

Python does not support multithreading. Therefore, scalability is not as easy. For Python to have easy scalability, libraries have to be used. However, this does not mean that it can compete with Node.js in terms of scalability.

Python is a full-stack language. It is used in backend development while its frameworks are used in frontend development.

A Python program can be written in MAC OS and the same program can run in Linux, therefore Python is also a cross-stage languague.

Python is a good language for web development as well as desktop development. But unlike Node.js it is not primarily used in mobile app development.

After the introduction of Python, a lot of frameworks and development tools like PyCharm have been created.

The great extensibility of Python and the use of many frameworks have made Python to be such a great backend language that every developer would desire to use.

Python frameworks include:

  1. Django
  2. Flask
  3. Web2Py

Python is not event-driven. To build an event-driven app using Python, you need to install a tool like CPython.

Although Python enables asynchronous programing it is not frequently used like Node.js as it is limited by Global interpreter lock which ensures that only one process executes at a time.

5. Java

Java is highly scalable. Take the case of Java EE. Assuming you have done the right planning and used the right kind of application server, the Java EE can transparently cluster instances. It also allows multiple instances to serve requests.

In Java, separation concerns allow better scaling. When processing or the number of Input-Output (IO) requests increases, you can easily add resources, and redistribute the load. Separation of concerns makes this transparent to the app.

Java components are easily available, making scaling of large web apps easy. The language is flexible, and you need to do less invasive coding to improve scalability. Read more about it in this StackOverflow thread on Java scalability.

One great advantage of Java is “Write Once, Run Everywhere”. We also call this feature ’portability’. You can execute a compiled Java program on all platforms that have a corresponding JVM.

This effectively includes all major platforms, e.g. Windows, Mac OS, and Linux. Read more about the cross-platform feature of Java in this StackOverflow thread titled “Is Java cross-platform”.

You first write your Java program in the “.java” file. Subsequently, you compile it using the Ecplise IDE or ’javac‘, and thereby you create your “.class” files. While it isn‘t mandatory, you can also bundle your “.class” file into a “.jar” file, i.e. an executable.

You can now distribute your “.jar” file to Windows, Mac OS, and Linux, and run it there. There may be occasional confusion, because you may find different set-up files for different platforms for one Java program. However, these have nothing to do with Java.

There are applications that depend on specific features certain platforms provide. For such apps, you need to bundle your Java “.class” files with libraries specific to that platform.

Java’s automatic memory management is a significant advantage. I will describe it briefly here to show how it improves the effectiveness and speed of web apps.

In programming parlance, we divide memory into two parts, i.e. the ’stack’ and the ’heap’. Generally, the heap has a much larger memory than the stack.

Java allocates stack memory per thread, and we will discuss threads a little later in this article. For the time being, note that a thread can only access its own stack memory and not that of another thread.

The heap stores the actual objects, and the stack variables refer to these. The heap memory is one only in each JVM, therefore it‘s shared between threads. However, the heap itself has a few parts that facilitate garbage collection in Java. The stack and heap sizes depend on the JVM.

Now, we will analyze the different types in which the stack references the heap objects. The different types have different garbage collection criteria. Read more about it in “Java Memory Management”.

Following are the reference types:

  1. Strong: It‘s the most popular, and it precludes the object in the heap from garbage collection.
  2. Weak: An object in the heal with a weak reference to it from the stack may not be there in the heap after a garbage collection.
  3. Soft: An object in the heap with a soft reference to it from the stack will be left alone most of the time. The garbage collection process will touch it only when the app is running low on memory.
  4. Phantom reference: We use them only when we know for sure that the objects aren‘t there in the heap anymore, and we need to clean up.

The garbage collection process in Java runs automatically, and it may pause all threads in the app at that time. The process looks at the references that I have explained above and cleans up objects that meet the criteria.

It leaves the other objects alone. This entire process is automated; therefore, the programmers can concentrate on their business logic if they follow the right standards for using reference types.

Why every IT Outsourcing business needs quality assurance?

What is Quality Assurance?

Quality assurance (QA) is any systematic process of determining whether a product or service meets specified requirements.

QA establishes and maintains set requirements for developing or manufacturing reliable products. A quality assurance system is meant to increase customer confidence and a company’s credibility, while also improving work processes and efficiency, and it enables a company to better compete with others.

The ISO (International Organization for Standardization) is a driving force behind QA practices and mapping the processes used to implement QA. QA is often paired with the ISO 9000 international standard. Many companies use ISO 9000 to ensure that their quality assurance system is in place and effective.

The concept of QA as a formalized practice started in the manufacturing industry, and it has since spread to most industries, including software development.

7 Reasons Why Quality Assurance Is Important

1. Quality Assurance Saves You Money and Effort

While it takes time at the beginning of the process to create systems that catch errors, it takes more time to fix the errors if they’re allowed to happen or get out of control. Software development is a good example. One analysis showed that fixing an error in the production stage took up to 150 times longer than repairing it earlier in the requirements design stage.

Some businesses might be a bit unsure about quality assurance because of its cost, but the fact is it actually saves money in the long run. Paying to prevent problems is cheaper than paying to fix them. Quality assurance systems also save money on materials because nothing goes to waste. As an example, if a business makes a toy and doesn’t have quality assurance in place, a low-quality toy won’t sell as well or people will complain and return them. The business then needs to make more toys to replace the low-quality ones, which costs them more money.

 

2. Quality Assurance Prevents Corporate Emergencies

With many software companies, the stakes would be high. A simple bug in the corporate software might result in system blackouts, communication breakdowns, or even missing data. So if you are planning to employ software throughout a firm or deal with sensitive info, make sure to implement quality assurance testing and guarantee that there is no room for errors.

 

3. Quality Assurance Boosts Client’s Confidence

By focusing on QA testing, you are sending your clients a message that you want to make their application run smoothly without any errors. This is especially important when you want to create long-term working relationships and improve customer loyalty.

 

4. Quality Assurance Enhances User Experience

It is quite obvious that user experience can be a decisive factor in the success or failure of an IT product. If your software is slow or constantly showing errors, your clients or users might feel annoyed and turn to your competitors’ products. Thus, it is vital to test your product meticulously by experienced employees to ensure that the user will run it smoothly in their daily job or task.

 

5. Quality Assurance Creates More Profit

If you are developing an application to sell or market, then the quality assurance process is one of the most important factors which determine if you can sell it at a higher rate. There is nothing worse than angry users who paid their money for a product that does not work as promoted.

 

6. Quality Assurance Improves Customer Satisfaction

In addition to profits, quality assurance can also improve the satisfaction of your customers, thus enhancing the reputation of the company. Through worth of mouth marketing, a satisfied client will tell their friends or family about your product, which helps your company enlarge the client base without spending too much money on marketing.

 

7. Quality Assurance Promotes Efficiency and Productivity

A faulty software can lead to hurried fixes or frantic communication, which might worsen the situation. Obviously, everybody can work better when they don’t have to deal with constant errors which can be time-consuming and challenging to fix. Being organized with quality assurance testing from the beginning of the project will enable the company to operate smoothly and more productively.

When quality assurance is a priority for a company, it sets the tone for the whole business. The drive for quality infuses every part of an organization and everyone has a role to play. Anything that seems to be inhibiting the organization’s ability to provide quality to their customers is addressed. A work culture focused on meeting certain standards is good for everyone – stakeholders, employees, and the business itself.

10 huge advantages that make Agile Scrum the most popular working process

What is Scrum?

One of the most popular agile methodologies in use today. Scrum is a lightweight software development methodology that focuses on having small time-boxed sprints of new functionality that are incorporated into an integrated product baseline. Scrum places an emphasis on transparent customer interaction, feedback and adjustments rather than documentation and prediction.

Instead of phases, Scrum projects are broken down into releases and sprints. At the end of each sprint you have a fully functioning system that could be released:

With scrum projects, the requirements for the project do not have to be codified up-front, instead they are prioritized and scheduled for each sprint. The requirements are composed of ‘user stories’ that can be scheduled into a particular release and sprint:

Scrum is often deployed in conjunction with other agile methods such as Extreme Programming (XP) since such methods are in reality mostly complimentary, with XP focusing on the engineering (continuous exploration, continuous integration, test-driven development, etc.) and Scrum focusing more on the project management side (burn-down, fixed scope for sprints/iterations) as part of the product management. So, project managers should choose elements of the Scrum project management methodology and other methods/tools together for the specific project. Since Scrum is a more defined project management methodology in terms of tools and processes, it is often easier to adopt from day one with less initial invention and customization.

 

10 advantages of Agile Scrum Methodology

1. Revenue

Using Scrum, new features are developed incrementally in short Sprints. At the end of each Sprint, a potentially usable Increment of product is available. This enables the product to potentially be released much earlier in the development cycle enabling benefits to be realised earlier than otherwise may have been possible if we waited for the entire product to be “complete” before a release.

2. Quality

Maintaining quality is a key principle of development with Scrum. Testing occurs every Sprint, enabling regular inspection of the working product as it develops. This allows the Scrum Team early visibility of any quality issues and allows them to make adjustments where necessary.

3. Transparency

Scrum encourages active Product Owner and stakeholder involvement throughout the development of a product. Transparency is therefore much higher, both around progress and of the state of the product itself, which in turn helps to ensure that expectations are effectively managed.

4. Risk

Small Increments of working product are made visible to the Product Owner and stakeholders at regular intervals. This helps the Scrum Team to identify risks early and makes it easier to respond to them. The transparency in Scrum helps to ensure that any necessary decisions can be taken at a suitable/earlier time, while it can still make a difference to the outcome. Risks are owned by the Scrum Team and they are regularly reviewed. The risk of a failed initiative is reduced.

5. Flexibility/Agility

In traditional product development, we create big specifications upfront and then tell business owners how expensive it is to change anything, particularly as the project proceeds. We resist changes and use a change control process to keep change to a minimum. This approach often fails as it assumes we can know what we want with 100% clarity at the start of development (which we usually do not) and that no changes will be required that could make the product more valuable (which is unlikely with the speed of change in many organisations and markets today).

In agile development, change is accepted and expected. Often the time scale is fixed and detailed requirements emerge and evolve as the product is developed. For this to work, it is imperative to have an actively involved Product Owner who understands this concept and makes the necessary trade-off decisions, trading existing scope for new scope where it adds greater value.

6. Cost Control

The approach of fixed timescales and evolving requirements enables a fixed budget. The scope of the product and its features are variable, rather than the cost. As we are developing complete slices of functionality we can measure the real cost of development as it proceeds, which will give us a more accurate view of the cost of future development activities.

7. Business Engagement/Customer Satisfaction

The active involvement of a Product Owner, the high transparency of the product and progress and the flexibility to change when change is needed, create much better business engagement and lead to greater customer satisfaction. This is an important benefit that can create more positive and enduring working relationships.

8. A Valuable Product

The ability for requirements to emerge and evolve and the ability to embrace change help ensure the Scrum Team builds the right product which delivers the anticipated value to the customer or user.

It is all too common in more traditional projects to deliver a “successful” project and find that the product is not what was expected, needed or hoped for. In agile development, the emphasis is placed on building the right product that will deliver the desired value and benefits.

9. Speed To Market

Research suggests about 80% of all market leaders were first to market. As well as the higher revenue from incremental delivery, agile development supports the practice of early and regular releases.

10. More Enjoyable

The active involvement, cooperation and collaboration in successful Scrum Teams makes for a more enjoyable place to work. When people enjoy what they do, the quality of their work will be higher and the possibility for innovation will be greater. Happy and motivated people are more efficient, effective and more likely to stick around.

What is MongoDB? Why should you use it?

What is MongoDB?

MongoDB is an open source NoSQL database management program. NoSQL is used as an alternative to traditional relational databases. NoSQL databases are quite useful for working with large sets of distributed data. MongoDB is a tool that can manage document-oriented information, store or retrieve information.

MongoDB supports various forms of data. It is one of the many nonrelational database technologies that arose in the mid-2000s under the NoSQL banner — normally, for use in big data applications and other processing jobs involving data that doesn’t fit well in a rigid relational model. Instead of using tables and rows as in relational databases, the MongoDB architecture is made up of collections and documents.

Organizations can use Mongo DB for its ad-hoc queries, indexing, load balancing, aggregation, server-side JavaScript execution and other features.

How it works?

MongoDB makes use of records which are made up of documents that contain a data structure composed of field and value pairs. Documents are the basic unit of data in MongoDB. The documents are similar to JavaScript Object Notation, but use a variant called Binary JSON (BSON). The benefit of using BSON is that it accommodates more data types. The fields in these documents are similar to the columns in a relational database. Values contained can be a variety of data types, including other documents, arrays and arrays of documents, according to the MongoDB user manual. Documents will also incorporate a primary key as a unique identifier.

Sets of documents are called collections, which function as the equivalent of relational database tables. Collections can contain any type of data, but the restriction is the data in a collection cannot be spread across different databases.

The mongo shell is a standard component of the open source distributions of MongoDB. Once MongoDB is installed, users connect the mongo shell to their running MongoDB instances. The mongo shell acts as an interactive JavaScript interface to MongoDB, which allows users to query and update data, and conduct administrative operations.

binary representation of JSON-like documents is provided by the BSON document storage and data interchange format. Automatic sharding is another key feature that enables data in a MongoDB collection to be distributed across multiple systems for horizontal scalability, as data volumes and throughput requirements increase.

The NoSQL DBMS uses a single master architecture for data consistency, with secondary databases that maintain copies of the primary database. Operations are automatically replicated to those secondary databases for automatic failover.

MongoDB pros and cons

Advantages of MongoDB

Performance Levels

MongoDB stores most of the data in the RAM. It allows a quicker performance while executing queries. 

It collects the data directly from the RAM than the hard disk and the returns come back faster. It is important to have a system with RAM and accurate indexes for enhanced performance levels.

High Speed and Higher Availability

MongoDB is a document-based database solution. It has attributes like replication and gridFS.

Its attributes allow an increase in data availability. It is also easy to access documents using indexing. 

MongoDB performs 100 times faster than other relational databases and provides high performance.

Simplicity

MongoDB offers a simple query syntax that is much easier to grasp than SQL. It provides an expressive query language that users find helpful during development.

Easy Environment and a Quick Set-up

The installation, setup, and execution for MongoDB are quick and simple. It is faster and easier to set up than RDBMS and offers modern JavaScript frameworks.

This feature has allowed users to confidently select NoSQL structures. It also provides quicker learning and training opportunities than SQL databases. 

Flexibility

MongoDB’s schema is not predefined. It means that it has a dynamic schematic architecture that works with non-structured data and storage. 

Businesses keep evolving and so do the data they maintain. It is important to have a flexible database model that could adapt to these changes.

Sharding

MongoDB uses sharding while handling large datasets. Sharding is the process of dividing data from a large set and distributing it to multiple servers.

In case, there is an issue where the server cannot handle the data due to its size, it automatically divides it further without pausing the activity. 

Scalability

Scalability is one of the most important advantages of MongoDB. As seen, MongoDB uses “sharding”, which expands the storage capacity.

Unlike SQL databases that use vertical scalability, sharding allows MongoDB to use horizontal scalability.

Ad-hoc Query Support

An ad-hoc query is a non-standard inquiry. It is generated to gain information if and when required.

MongoDB offers an enhanced ad-hoc queries feature. This allows an application to prepare for fore coming queries that may occur in the future.

Documentation

MongoDB is in the class of “Document Stores”, here the term document refers to data collection.

MongoDB offers accurate documentation which means it does not tether with the data while processing it for storage. It serves the data for each version, edition, or requirement to assist users with an excellent documentation process.

Technical Support

MongoDB offers technical support for the various services that it provides. There is technical support for the community forums, Atlas or Cloud Manager as well as Enterprise or Ops Manager.

In case of any issues, the professional customer support team is ready to assist clients. 

Disadvantages of MongoDB

Transactions

Transactions refer to the process of reviewing and eliminating unwanted data. MongoDB uses multi-document ACID (Atomicity, Consistency, Isolation, and Durability) transactions.

The majority of the application does not require transactions, although there are a few that may need it to update multiple documents and collections. This is one of the major limitations with MongoDB as it may lead to corruption of data.

Joins

Joining documents in MongoDB can be a very tedious task. It fails to support joins as a relational database.

Although there are teams deployed to fix this disadvantage, it is still in the initial stages and would take time to mature. 

Users can utilize joins functionality by manually adding the code. But acquiring data from multiple collections requires multiple queries and this may lead to scattered codes and consume time.

Indexing

MongoDB offers high-speed performance with the right indexes. In case if the indexing is implemented incorrectly or has any discrepancies, MongoDB will perform at a very low speed.

Fixing the errors in the indexes would also consume time. This is another one of the major limitations of MongoDB.

Limited Data Size and Nesting

MongoDB allows a limited size of only 16 MB for a document. Performance nesting for documents is also limited to only 100 levels.

Duplicates

Another one of the major limitations of MongoDB is the duplication of data. The limitation makes it difficult to handle data sets as the relations are not defined well.

Eventually, the duplication of data may lead to corruption as it is not ACID compliant.

High Memory Usage

MongoDB requires a high amount of storage due to the lack of joins functionalities which lead to the duplication of data. There is an increase in data redundancy which takes up unnecessary space in the memory.

3 things you need to know before starting with React

The world can’t live without mobile and web applications in this day and age. Everything is digitized, from booking cabs to ordering food to make bank transactions. Thanks to the efficient frameworks that provide a seamless user experience. One such robust frontend library is React. This tutorial on ‘what is React’ will help you understand the library’s fundamentals and work with a simple demo.

What Is React?

React.js was released by a software engineer working for Facebook – Jordane Walke in 2011. React is a JavaScript library focused on creating declarative user interfaces (UIs) using a component-based concept. It’s used for handling the view layer and can be used for web and mobile apps. React’s main goal is to be extensive, fast,  declarative, flexible, and simple. 

React is not a framework, it is specifically a library.  The explanation for this is that React only deals with rendering UIs and reserves many things at the discretion of individual projects. The standard set of tools for creating an application using ReactJS is frequently called the stack.

Why use React?

Now, the main question arises in front of us is why one should use React. There are so many open-source platforms for making the front-end web application development easier, like Angular. Let us take a quick look on the benefits of React over other competitive technologies or frameworks. With the front-end world-changing on a daily basis, it’s hard to devote time to learning a new framework – especially when that framework could ultimately become a dead end. So, if you’re looking for the next best thing but you’re feeling a little bit lost in the framework jungle, I suggest checking out React.
 

1. Simplicity

 
ReactJS is just simpler to grasp right away. The component-based approach, well-defined lifecycle, and use of just plain JavaScript make React very simple to learn, build a professional web (and mobile applications), and support it. React uses a special syntax called JSX which allows you to mix HTML with JavaScript. This is not a requirement; Developer can still write in plain JavaScript but JSX is much easier to use.
 

2. Easy to learn

 
Anyone with a basic previous knowledge in programming can easily understand React while Angular and Ember are referred to as ‘Domain-specific Language’, implying that it is difficult to learn them. To react, you just need basic knowledge of CSS and HTML.
 

3. Native Approach

 
React can be used to create mobile applications (React Native). And React is a diehard fan of reusability, meaning extensive code reusability is supported. So at the same time, we can make IOS, Android and Web applications.
 

4. Data Binding

 
React uses one-way data binding and an application architecture called Flux controls the flow of data to components through one control point – the dispatcher. It’s easier to debug self-contained components of large ReactJS apps.
 

5. Performance

 
React does not offer any concept of a built-in container for dependency. You can use Browserify, Require JS, EcmaScript 6 modules which we can use via Babel, ReactJS-di to inject dependencies automatically.
 

6. Testability

 
ReactJS applications are super easy to test. React views can be treated as functions of the state, so we can manipulate with the state we pass to the ReactJS view and take a look at the output and triggered actions, events, functions, etc. 

Features of React

JSX

JSX stands for JavaScript XML. It is a JavaScript syntax extension. Its an XML or HTML like syntax used by ReactJS. This syntax is processed into JavaScript calls of React Framework. It extends the ES6 so that HTML like text can co-exist with JavaScript react code. It is not necessary to use JSX, but it is recommended to use in ReactJS.

Components

ReactJS is all about components. ReactJS application is made up of multiple components, and each component has its own logic and controls. These components can be reusable which help you to maintain the code when working on larger scale projects.

One-way Data Binding

ReactJS is designed in such a manner that follows unidirectional data flow or one-way data binding. The benefits of one-way data binding give you better control throughout the application. If the data flow is in another direction, then it requires additional features. It is because components are supposed to be immutable and the data within them cannot be changed. Flux is a pattern that helps to keep your data unidirectional. This makes the application more flexible that leads to increase efficiency.A virtual DOM object is a representation of the original DOM object. It works like a one-way data binding. Whenever any modifications happen in the web application, the entire UI is re-rendered in virtual DOM representation. Then it checks the difference between the previous DOM representation and new DOM. Once it has done, the real DOM will update only the things that have actually changed. This makes the application faster, and there is no wastage of memory.

Simplicity

ReactJS uses JSX file which makes the application simple and to code as well as understand. We know that ReactJS is a component-based approach which makes the code reusable as your need. This makes it simple to use and learn.

Performance

ReactJS is known to be a great performer. This feature makes it much better than other frameworks out there today. The reason behind this is that it manages a virtual DOM. The DOM is a cross-platform and programming API which deals with HTML, XML or XHTML. The DOM exists entirely in memory. Due to this, when we create a component, we did not write directly to the DOM. Instead, we are writing virtual components that will turn into the DOM leading to smoother and faster performance.

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