5 most popular programming languages in 2022

Learning a programming language is a big commitment and investment of time and energy. You do not want to waste time learning a language that is no longer in demand. When planning a career in software development, you need to know which programming languages are functional and have a scope for the upcoming applications. 

Our engineering team has picked out the languages in this list based on their experience, industry trends, and future scope. If you are confused, allow us to help you with a list of the most popular programming languages in 2022.

JavaScript

JavaScript tops the list of top programming languages as per the Stack Overflow 2020 Developer Survey. It is also touted as the web language because of its functionality, scalability, and interactivity functionalities. Learning JavaScript is the safest bet as it continues to dominate the web development domain. If you plan to take up web development, you must focus on learning JavaScript apart from HTML and CSS.

Did we tell you that JavaScript is also the most sought-out programming language by hiring managers in the US

Scope of learning JavaScript: Web development, mobile apps, game development, and building web servers

Here is a list of the top 6 JavaScript books to learn the language.

Python

Python is the fourth most popular programming language, used by 41.6% of all developers in the world. The general-purpose programming language is used primarily for backend applications. It is one of the best programming languages to master as you can follow any programming style while using it – functional, reflective, or object-oriented.

Whether you’re a beginner or an experienced developer, you can learn Python quickly as it does not follow string syntax like Java or C. The language also has an extensive library of packages that allows for faster development. Today, over 50% of hiring managers seek candidates skilled in Python programming, and it is simply one of the most in-demand programming languages of 2022. 

Scope of learning Python: Backend development, app development, data science, and automation

Check out our Python toolkit for developers to find learning resources and more.

Java

Java is the fifth most commonly used programming language, according to Stack Overflow. It is a functional programming language that has been at the top of the popularity scale for enterprise application development for many years. Java has applications in several industries, especially banking and finance for its object-oriented programming capabilities. With object-oriented programming, developers can put functions and data into objects and then use these objects to create programs in a structured manner. 

Learning Java is easy as its syntax is close to the natural language we use in our daily lives. It is also relatively easier to compile and debug than other practical languages like C.

Scope of learning Java: E-commerce, fintech, app development, and banking

Check out our Java developer’s toolkit for learning resources, online Java communities, etc. 

PHP

Arguably one of the best server-side scripting languages, PHP is used by over 80% of the websites on the internet. It is a popular language for building online applications, preferred by beginners and experienced programmers alike. PHP will continue to be one of the top programming languages in 2022 because its code can be readjusted to accommodate new features without additional expenditure. Its extraordinary resourcefulness is the reason why websites like Facebook and Wikimedia use PHP in their tech stack.

PHP is easy to learn. It follows a logical and consistent syntactical structure. Applications and websites built in PHP are highly flexible, fast, and compatible with multiple operating systems.

Scope of learning PHP: Web development, building servers, E-commerce, and CMS

Learn PHP with these resources: PHP ManualPHP Tutorial by W3Schools, and Killer PHP.

Go

Go is a relatively new programming language that was developed at Google in 2007. It is a top-tier programming language used for hardware and data-specific applications such as media editing and big data.

Go is a programming language that is known for its efficiency. Its ability to run multiple processes concurrently makes it extremely fast. Also, with an extensive ‘vocabulary’, it can display more information than any other programming language. It is easier to code in Go as it has no requirement for semicolons or curly braces for control structures like other programming languages.

Companies usually hire Go developers who can utilize its features to create applications that have top-notch memory safety functionality. Not only is Go one of the top programming languages to learn in 2022, but the related jobs also offer better pay, a 33% salary bump, to be specific. This is because, as compared to other programming languages, talent for Go development is scarce.

Scope of learning Go: Big data, system/network programming, and audio/video editing

Here are some resources to learn Go.

Learn Go: Free YouTube Channel from Freecodecamp

Go Annotated Tutorials

Introducing Go by Caleb Doxsey is an excellent book for beginners

Conclusion

Learning a new programming language is beneficial irrespective of your experience within the software development industry. However, it is essential to pick a programming language which has the scope to contribute to your career progress by remaining high in demand. The five top programming languages of 2022 will be good additions to your skillset.

Talent500 is a platform for Fortune500 companies and fast-growing startups to build remote teams faster. Join our elite team of developers and discover global opportunities.

How AI is changing DevOps

While humans are capable of many unthinkable and often impossible feats, there are limitations. One particular area is in data handling, its management, analysis, and interpretation. With the sheer magnitude of incoming raw data, thanks to rapid digitalization, adoption of automation, and several other such factors, relying on human resources alone is inefficient. In a field like DevOps, where high efficiency, accuracy, and speed are all underpinning elements, it seems only natural that artificial intelligence models and technology are a perfect fit. 

In fact, DevOps is now a critical piece of the enterprise IT environment, and both AI and ML are readily adopted to increase efficiency. Around 75% use AI and ML for testing and in some cases, this has caused an uptick in new code released by nearly 10X! Considering the nature of the job, it would be near-impossible to do it without the use of advanced technologies. Moreover, AI improves several key DevOps practices and allows teams to leverage their potential to the maximum. It reduces waste by handling large computing scenarios that would otherwise overwhelm human-led operation cycles.

However, recently AI’s application in the DevOps space has brought about rapid change. Several new advancements are afoot, and you should know about them to stay ahead. Read on to know how AI is transforming DevOps.

Improved security and tracking capabilities

A key prowess of AI and ML models is their ability to analyze volumes of data and do it at remarkable speeds with accuracy. As such, its application in tracking and security is undeniable. In a DevOps setting, this advantage comes in handy when analyzing threats and usage data for better optimizations. Since models can be designed to inspect and track user data at every touchpoint, DevOps teams can leverage to deliver a better user experience simply based on data collected by modules doing the heaviest lifting. 

On to security, improved tracking capabilities can pinpoint areas in systems that are most vulnerable to breaches. AI better defense against DDOS attacks and can even lend a hand in fraud detection. Since AI models can be designed to spot unusual data patterns and can do this in real-time, tracking and stopping fraudulent acts is a lot more reliable.

Increased reliance on automation 

DevOps inherently includes complex systems, run on distributed application environments and operational models. Keeping up and effectively absorbing information isn’t a simple undertaking, especially if it is completely manual. While DevOps does bring some level of automation to the table, AI betters it in every way. With AI, DevOps professionals can leverage the full power of automation to streamline tedious tasks in the operational cycle that were otherwise error-prone due to human involvement.

In fact, this reliance on AI-backed automation has gone so far as to institute systems that can self-heal without requiring external intervention. Essentially, AI can not only jump into the driver’s seat but can get the team there too! However, stubborn DevOps teams are resilient to this level of independent function, but it is only a matter of time until it becomes standard practice.  

Swifter, more reliable pattern and anomaly detection

Complex application systems bring with them another problem area — error tracking and analysis. For instance, in an IoT environment with several microservices in use along with its numerous touchpoints, pinpointing failures with accuracy and speed simply isn’t possible. There are troves of raw data to go through and AI models can easily handle these without nearly as much effort. ML and AI models can be designed to look for abnormalities that trigger failure events and even suggest optimizations. 

Naturally, when exposed to such analysis over time, these models can be trained to recognize patterns and employ predictive analysis. This lends itself to anomaly detection, which can be vital to DevOps cycles as teams can then address these directly in the development pipeline and ensure they make it out to the live version. 

Better and refined access to data

An ever-present challenge to DevOps is the lack of access to complex data streams. With data gushing through every stream and data point in the system, professionals often struggle to keep up. AI models can address such a problem and deliver refined data from various sources and collate them for easy access. In fact, data trapped in siloed operations can also be harnessed to ensure that insight are meaningful.

Enhanced resource management

Certain AI tools lend themselves to non-technical business users, normally in charge of operations. With AI, data mapping and integration can be simplified, and this frees up the IT department for more high-value tasks. In fact, with better data integration, teams are in a better position to innovate, customize, optimize, and grow as the mundane and uninspiring tasks are no longer taking away time and effort. While it may seem like it could result in reduced collaboration, this isn’t the case. Unburdened by technical challenges, the focus is shifted to more big-picture undertakings, which often involve teams across departments to collaborate.

The integration of AI into DevOps is the natural cycle of advancement within the field of software development. There was a time when the traditional development life cycle distinguished development from operations, but in just a few years, it evolved into what we now know as DevOps. Similarly, a new acronym, AIOps, is taking hold and in this new model, the ‘Developer’ is no longer part of the equation. Is this the future of AI? It may still be too soon to tell, but developers would do well to upskill and branch out into other fields that work in line with this technology.

Those with skills that can leverage AI and drive development are sure to find themselves amongst the changemakers in the industry.

If you fit the bill and are looking to work at the bleeding edge of technology at some of the best Fortune 500 companies in the world, sign up on Talent500. The platform can help you take the next crucial step in your career and lay the foundation for your dream career amongst the best of the best.

5 secrets to help you ace that technical interview in 2022

Regardless of whether you’re an experienced developer or on the hunt for your first job, technical interviews are one of the biggest challenges out there. They can be stressful, time-consuming, and nerve-racking. The pressure is higher for self-taught developers, and the process can be quite demanding simply owing to its multiple stages. Unlike a regular job interview, these sessions can last several hours and usually consist of at least 4 rounds. 

However, just like any other test, you can ace it with the right preparation strategy. By knowing what to expect, you can tackle these interviews with confidence and minimal errors. Most of all, being aware of how they are conducted and what recruiters assess and expect from you, can give you a leg up. More importantly, it acts as a testament to your preparedness, which is a clear winning trait. 

Here are 5 secrets to help you ace your technical interview in 2022. 

Work with a specialized prep book

Technical interviews evaluate your subject knowledge, so it pays to have your fundamentals in place. This applies to both first-time job seekers and experienced professionals. Picking up a prep book has two main benefits: 

  • It refreshes your knowledge and reminds you of core principles, algorithms, data structures, or other such crucial information that may have slipped through the cracks. 
  • It puts you in the right frame of mind as technical interviews will test your problem-solving and critical thinking capabilities. Prep books are the best way to prepare for the intense requirement across a wide range of subjects. 

Prep books can be found for a range of levels, interests, and specialties. You can even find advanced books to match your experience. 

Be interactive during the  phone screening

A phone interview is a sign that you’ve piqued the hiring manager’s interest, and that you have one foot in the door. Your technical skills and capabilities match the position you’re applying for, and now the recruiter will assess your soft skills. This is a common vetting technique to know if you’re a good fit. 

Approach this stage with enthusiasm and showcase your excitement to be considered for the position. Being conversational and interactive is bound to bring in brownie points. While phone screening rounds don’t generally focus on your technical capabilities, it is always a good idea to be prepared.

Test your set up beforehand

Interviewers are most appreciative of a prepared candidate. Most interviews for technical positions are conducted remotely, especially considering the recent shift in practices. We recommend testing out your entire setup beforehand.

Check your system, run mock tests, launch applications you will require during the interview and check all your hardware. It’s important to make a good first impression, and this is a good way to ensure that you don’t run into technical difficulties during your interview. 

To best prepare for these sessions, contact the hiring manager or whoever will be conducting the interview and inquire about the process. In some cases, you may get instructions via email on what to expect and have ready for the interview, so keep an eye out and ace it!  

Approach the remote coding stage strategically

This is usually one of the intermediary stages before the next on-site interview sessions. Here, hiring managers will focus on your technical and analytical capabilities. Some companies may give you an assignment that can be completed in a few hours at home, and others may require you to code in real-time. 

The approach will vary based on the company, but in all instances, your hard skills will be tested. To ensure that you don’t lose your way and make too many mistakes, here are a few pointers to keep in mind:

  • Think-out-loud when formulating a plan to solve the problem at hand, so that you can cue in the interviewer.
  • Utilize the time given to you on a take-home assignment. A hasty project is no good if it is riddled with errors. 
  • Do not start coding right at the start. This is especially true during a real-time coding test. Take the time to strategize solutions that are sound in logic and approach. 
  • Voice your doubts if the platform allows you to. It showcases your ability to collaborate. 

Prepare for common technical interview questions

In a typical technical interview, especially at the final stages, hiring managers will ask you a series of questions. The idea is to assess multiple aspects of a potential employee in order to get a holistic idea of the candidate and their capabilities. 

Generally, these questions will be related to: 

  • Technical training
  • Educational background
  • Behavioral aspects
  • Practical knowledge
  • Technical experience and expertise

Some of the common questions from this diverse set of categories include: 

  • “What are your technical qualifications and how do they make you a good fit for this position?”
  • “How do you keep yourself updated with the latest trends and innovations in the industry?”
  • “Do you prefer working solo or as part of a team?”
  • “If you had to improvise the approach to a project, how would you do it?”
  • “Do you have any negative experiences when collaborating with others? How did you solve the issues at hand?”
  • “Can you explain the benefits and downsides of working in an Agile environment?” 

Put these tips to use not only to prepare for the technical interview, but also to stand out across various stages. Remember, these interviews are more than just an assessment of your technical capabilities. Hiring managers look for well-rounded people, equipped with both the soft and hard skills expected from a technical professional. 

Preparation is key to success here and it gives you an advantage during the process. Another way to give yourself an edge when it comes to your career is to sign up for Talent500. The platform gives you control of your career growth and positions you for success on a global scale. 

By signing up, you can also be part of a growing talent pool on the Global Talent Network and get access to exclusive benefits. Talent500 helps you realize your potential and gives you the tools to get #TwoStepsAhead. Sign up today and be a proactive part of your career growth. 

7 ways to secure a Node.js application

JavaScript was always popular among developers, especially for frontend development. Then came Node.js in 2009, which made backend development possible. It has since been a go-to in a developer’s toolkit, now supported by a suite of libraries, frameworks and tools. What’s more, Node.js has a sizable developer community, helping boost its popularity within the industry. In fact, it is so widely accepted that websites such as PayPal, Netflix, and many others use it too! 

Developers across the globe use Node.js for several purposes, one of which is as a backend server for applications. These exist in almost all platforms of technology, and power several services on the internet. Microservices practically rely on such applications; however, due to its popularity, or those of its frameworks, there are myriad vulnerabilities to account for. Hackers or those with malicious intent will try to steal crucial data, impair functionality, or expose a vulnerability. 

To prepare for such attacks and secure your Node.js application, take a look at these pointers. 

Prioritize input validation and sanitization

Most web applications are designed to perform a certain function based on user input. Therein lies a vulnerability, as certain users can be malicious through their inputs. This is known as SQL injection, allowing users to issue an SQL statement through their input and evoke a response. For instance, when asked to enter a profile ID, attackers can send a DROP TABLE SQL command and completely wipe certain parts of your database.

The countermeasure to this is to validate and sanitize inputs from the user. Through validation, you set the criteria for acceptable inputs, and sanitization modifies inputs, thus ensuring that they are valid. You should also have the application escape values, using libraries that automatically perform escaping. The most common ones include mongoose or node-mysql. While basic in concept, this is something you shouldn’t overlook during development. 

Limit error information sent to the client

While it is common to run into errors from time to time, you should be careful about how much error information is being sent to the client. Sending the full error object, while helpful for developers, can help attackers by providing them with critical information. The error could reveal broken paths, libraries in use, or even secrets. Be mindful of the error information you send out and you can address this problem quite easily. 

Another tactic to employ is to wrap routes with a catch clause. This not only prevents Node.js from crashing due to a request, but also helps protect against attackers looking to crash the applications with a bad request.

Share only the bare minimum with the frontend

In a bid to save time and effort, many developers revert to a few old, lazy habits. One of which is to send all the data within an object to the frontend, when only specific information from the same object needs to be accessible. This poor practice increases the risk of data leaks as it all available in the developer console, and is only gated by filters. 

For instance, if the frontend requires a list to be populated for all the registered users, do not send an SQL query to send all user data to the frontend, and have it filtered there to display only what’s required. The other information is still available there, when it shouldn’t be. 

When sending any data to the frontend, always assume that there’s an attacker amongst the users. Your goal should be to protect all the sensitive data in a given object and so, only send what needs to go out. While it does result in more work in the backend, it’s always better to be safe than sorry. 

Use robust authentication mechanism

Any Node.js application is only as secure as the authentication mechanisms in use. Too many developers assume that security should only be part of the final stages in the development cycle, and that simply having it in place is enough. It isn’t. In most cases, authentication mechanisms can be bypassed. Developers must be proactive about security during development and top it off with proven solutions like OAuth or Okta. 

Developers who prefer the native approach can use Scrypt or Bcrypt instead of the built-in library, and implement two-factor authentication too. Common modules like speakeasy or node-2fa are two you can rely on to implement and offer this security measure.  

Have clear authorization and authentication parameters 

With clear parameters, attackers have little room to work with and are likely to fail in their attempts to harm your application. This applies to both authentication and authorization functionalities. In the first case, be sure to cap the number of failed authentication attempts. Brute-force attacks rely on this type of repeated effort, and limiting it by banning the IP for a few hours, known also as rate-limiting, works well. If nothing, it will slow down the attacker. 

On the other end, authentication parameters primarily govern data and its access. An application without the right roles for users and associated permissions allows malicious persons to act freely within the ecosystem. Through Node.js, you can assign these roles and permissions with the ACL module. 

Implement safeguards against race conditions

Race conditions can be quite uncommon, but it is always best to prepare for them. They can cause crashes, and can be painstaking to debug. Thankfully, they’re rare in JavaScript, but nonetheless, safeguarding against it is a way to secure the application. One way to go about it is to utilise callbacks smartly and efficiently. This way, the process invoking the function applies the values to the parameter and only then invokes the other. Without a callback, you’d likely have a null token. 

Run scan utilities to rule out vulnerabilities

Developers are rarely security experts—and they aren’t always required to be. Due to the rising number of exploits and their occurrences, it can be hard to keep track but with Node.js, you don’t have to. You can use a scanning utility like Retire.js to scan the application and find vulnerable dependencies. 

Even in a high-stress and deadline-bound environment, application security should never take a backseat during development. Staying updated about the various attacks and how they exploit a system is a smart way to stay ahead of the curve, but isn’t always enough. You need to create secure and stable applications, as this is the mark of a reliable developer. There’s an ocean of opportunity for such individuals and if you fit the bill, sign up on Talent500

This platform aligns your profile with job postings and career opportunities at top companies. Based on your merit and experience, you can work with reputed Fortune 500 companies in the world. Take two steps ahead to your dream job and work with the best. All you have to do is sign up today!