Author: Pankaj Tayade

  • The Future of AI in Software Development: Exploring How AI and Machine Learning are Transforming the Software Development Lifecycle 

    Enhancing Requirements Gathering and Planning with AI in Software Development 

    Enhancing Requirements Gathering and Planning with AI in Software Development 

    The initial stages of the SDLC involve gathering requirements and planning the project. Traditionally, this has been a manual and often error-prone process. AI can streamline this phase by using natural language processing (NLP) to analyze stakeholder communications, documents, and user feedback to generate comprehensive requirements automatically.

    Tools powered by AI can predict project risks, estimate timeframes, and suggest resource allocations, making the planning phase more accurate and efficient. 

    Automating Code Generation with AI 

    Automating Code Generation with AI 

    One of the most significant impacts of AI in software development is in code generation. AI-powered code generation tools can write boilerplate code, suggest snippets, and even complete entire functions based on the developer’s intent.

    These tools, such as GitHub Copilot, leverage vast datasets of code repositories to assist developers in writing cleaner and more efficient code. It not only speeds up the development process but also reduces the likelihood of errors. 

    Intelligent Code Reviews and Debugging with AI 

    Intelligent Code Reviews and Debugging with AI 

    AI is transforming the way code reviews and debugging are conducted. Machine learning algorithms can analyze code for potential bugs, vulnerabilities, and code smells.

    They can also provide recommendations for improvement based on best practices. Tools like DeepCode and Codota use AI to learn from millions of codebases, offering developers instant feedback and suggestions to enhance code quality and security. 

    Revolutionizing Software Testing with AI 

    Revolutionizing Software Testing with AI 

    Software testing is a critical phase of the SDLC, and AI is making it more efficient and effective. AI-driven testing tools can automatically generate test cases, predict potential failure points, and prioritize tests based on risk analysis.

    These tools can also adapt to changes in the code, ensuring that the most relevant tests are run. For instance, AI can identify which parts of the application are most likely to be affected by a new code change and focus testing efforts there, thereby saving time and resources. 

    Enhancing Continuous Integration and Continuous Deployment (CI/CD) with AI in Software Development 

    Enhancing Continuous Integration and Continuous Deployment (CI/CD) with AI in Software Development 

    Continuous Integration and Continuous Deployment (CI/CD) pipelines benefit significantly from AI integration. AI can optimize these pipelines by predicting build failures before they happen, recommending fixes, and even automatically deploying patches.

    It leads to a more reliable and faster release cycle. Moreover, AI can analyze past deployment data to identify patterns and suggest improvements for future deployments. 

    Improving Maintenance and Support with AI 

    Improving Maintenance and Support with AI 

    Post-deployment, software maintenance, and support are crucial for the long-term success of any application. AI can predict when and where issues are likely to occur, allowing teams to address potential problems before they impact users proactively.

    AI-driven analytics can also provide insights into user behavior and application performance, helping teams make informed decisions about updates and improvements. 

    The Future Outlook 

    The Future Outlook 

    As AI and ML technologies continue to advance, their role in software development will only grow.

    We can expect AI to handle more complex tasks, such as architectural design, feature selection, and even project management.

    Furthermore, the integration of AI with other emerging technologies like the Internet of Things (IoT) and blockchain will open new avenues for innovation in software development. 

    The Future is Intelligent 

    The Future is Intelligent 

    The future of AI in software development promises a more efficient, reliable, and intelligent SDLC. Developers will be able to focus more on creative and strategic tasks while AI handles the repetitive and mundane aspects of coding, testing, and maintenance.

    This symbiotic relationship between humans and machines will lead to higher-quality software, faster development cycles, and, ultimately, more innovative solutions to the challenges of tomorrow.

    In conclusion, the transformative power of AI and ML in software development is undeniable.

    As we continue to explore and harness these technologies, the software development landscape will evolve, paving the way for a new era of intelligent and automated development processes.

    The future is bright, and AI is leading the charge towards more advanced and efficient software development. 

    Additional Resources: 

  • Navigating the Challenges of Scalability in Modern Applications  

    Scaling your application to accommodate a growing user base is essential for sustained growth and success. However, it comes with a unique set of obstacles – the challenges of application scaling. From performance hiccups to data management hurdles, these challenges can hinder user experience and ultimately stall progress if not addressed strategically. 

    Untangling the Common Roadblocks in Application Scaling: 

    Let’s delve into the common areas where applications struggle as they expand: 

    • Performance Bottlenecks: The Bane of a Growing App As traffic increases, slow response times, latency, and crashes can become your app’s unwelcome companions. Single points of failure, such as overloaded servers, can grind your application to a halt, frustrating users and damaging your brand reputation. 
    • Resource Conundrum: Where Did My Server Space Go? Expanding applications demand careful resource allocation. Under-provisioning leads to slowdowns and crashes, while over-provisioning means wasted money and inefficiency. Striking the perfect balance in your application scaling strategy is essential for optimal resource usage. 
    • Data Deluge: Maintaining Consistency at Scale A growing user base equals a surge in data. Traditional databases can buckle under the strain, leading to inconsistencies and inaccurate results. Ensuring data integrity and seamless scaling of data storage and management is crucial for your app’s reliability and performance. 
    • Maintainability Matters: Keeping Your App Agile Large, complex codebases get harder to maintain as features and services are added. The risk of breaking existing functionalities, slowing down development, and making the application rigid increases with every new line of code. A well-structured architecture is critical for maintainability in scaling applications

    Navigating the Scaling Journey: Proven Strategies 

    Here’s how you can tackle the challenges of application scaling head-on: 

    1. Horizontal Scaling: The Power of Distribution Add more servers or instances to your infrastructure, spreading the workload. Think of opening more checkout lanes in a busy store – it handles more customers and prevents bottlenecks. 
    1. Microservices Architecture: Building Modular Applications Break down your monolithic application into smaller, independent services. Scale individual services as needed rather than the entire application, optimizing resource usage and enhancing development flexibility. 
    1. Load Balancing: Smart Traffic Management Distribute user requests across multiple servers using a load balancer. This ensures resources are optimally used and no single server gets overwhelmed, ensuring consistent performance even under heavy load. 
    1. Caching: The Secret to Speedy Responses Store frequently accessed data in a cache (in-memory or distributed) to minimize database queries and serve content faster. This significantly improves response times and reduces server load, especially in read-heavy applications. 
    1. Monitoring & Analytics: Your Early Warning System Implement robust monitoring tools to track performance metrics, resource usage, and error logs. These insights enable proactive identification of potential bottlenecks and data-driven scaling decisions, keeping your application healthy as it grows. 

    Scaling Success Stories: Real-World Lessons 

    • A client’s flash sale threatened to overload their system. We implemented load balancing and horizontal scaling to accommodate the surge, ensuring a seamless shopping experience even during peak traffic. 
    • Another client’s monolithic application faced maintainability issues. By migrating to a microservices architecture, they could scale specific features independently and achieve greater agility in updates and bug fixes. 

    Conclusion: 

    The challenges of application scaling are an inevitable part of building successful applications. Proactive planning and the intelligent use of scaling techniques are essential to ensure your application stays healthy and performant as it attracts more users and becomes more complex. 

    Remember, application scaling is an ongoing process. Continuous monitoring, analysis, and adaptation are key to ensuring your application thrives in the long run. 

    Additional Resources: 

  • Step-by-Step Practical Guide for Migrating Your AngularJS to Angular

    Hold on, are you stuck with AngularJS? 😩 

    Remember those dial-up days? Yeah, me neither. But just like that clunky internet connection, AngularJS is a thing of the past. Now, we’ve got this shiny new upgrade: Angular! 🤩 

    AngularJS, the popular JavaScript framework, was a game-changer when it was released, but technology never stands still. Angular, the successor to AngularJS, offers many advantages and improvements, making it a compelling choice for modern web development. If you’re still using AngularJS and considering migrating to Angular, this comprehensive guide will walk you through the process. 

    So, why Angular? And why now? 🤔 

    Let’s just say it’s not because Angular looks oh-so-groovy with its fancy Material Design. 😉 While that is a perk (hello, eye candy!), there’s more to it. 

    1. Improved Performance: Angular is designed for faster execution, offering features like Ahead-of-Time (AOT) compilation and a more efficient change detection mechanism, resulting in enhanced application performance. 
    2. Long-Term Support: Angular provides long-term support and regular updates, ensuring security, bug fixes, and access to new features. AngularJS reached its end of life in 2021, leaving applications vulnerable without ongoing support. 
    3. Structured Codebase: Angular enforces a structured, component-based architecture, making code more organized and maintainable, essential for large and complex applications. 
    4. Access to a Robust Ecosystem: Angular benefits from an active and extensive ecosystem of libraries, tools, and community support, enabling developers to leverage a wide range of resources for building and enhancing applications. 

    How do I even start this migration monster? 😨 

    Don’t worry; I won’t throw you in the deep end. We’ll start with a baby migration plan. We’ll assess your app, update its dependencies, and maybe even dip our toes into some basic code examples. Just to get the feel of things, you know? 😎 

    Step 1: Assess Your Application 

    In this step, you assess your existing AngularJS application to understand its structure and dependencies. This evaluation will help you plan the migration process effectively. 

    1. Identify Dependencies

    List all the dependencies used in your AngularJS application. This includes third-party libraries, custom directives, and modules. For example: 

    // AngularJS Module 

    var myApp = angular.module(‘myApp,’ [‘route, ‘ngResource,’ ‘custom directive’]); 

    2. Assess Application Complexity

    Evaluate the size and complexity of your application by analyzing the codebase. Identify any non-standard patterns, complex controllers, or heavily nested views. 

    Step 2: Create a Migration Plan 

    Develop a comprehensive plan to guide your migration process. 

    1. Budget and Timeline

    Define your budget and establish a realistic timeline for the migration. Adequate resources and time allocation are crucial to avoid rushing through the process. 

    2. Testing Strategy

    Develop a testing strategy, starting with unit tests for AngularJS components: 

    describe(‘Controller: MyController’, function () { 

      var $controller; 

      beforeEach(module(‘myApp’)); 

      beforeEach(inject(function (_$controller_) { 

          $controller = _$controller_; 

      })); 

      it(‘should initialize the controller’, function () { 

          var $scope = {}; 

          var controller = $controller(‘MyController’, { $scope: $scope }); 

          expect(controller).toBeDefined(); 

          // Add more test cases as needed 

      }); 

    }); 

    3. Team Training

    Invest in Angular training or workshops to ensure your development team knows Angular and its best practices. 

    Step 3: Update Dependencies and Choose Angular Version 

    1. Update Dependencies

    Ensure your dependencies are up-to-date. Use the latest versions of AngularJS libraries and check for compatibility with Angular. 

    2. Choose Angular Version

    Select the version of Angular that best suits your application’s needs. For instance, you might choose Angular 13. Keep an eye on Angular’s official documentation for updates and release notes. 

    Step 4: Manual Migration with Code Examples 

    In this step, we migrate specific parts of your AngularJS application to Angular. 

    1. Modules

    Create Angular modules to encapsulate features and dependencies, just like AngularJS modules. Here’s an example: 

    // Angular Module 

    import { NgModule } from ‘@angular/core’; 

    @NgModule({ 

      imports: [ 

        // Angular Modules 

        BrowserModule, 

        FormsModule, 

        RouterModule.forRoot(routes), 

      ], 

      declarations: [ 

        // Angular Components 

        AppComponent, 

        MyComponent, 

      ], 

    }) 

    export class AppModule {} 

    2. Components

    Rewrite AngularJS controllers as Angular components. Components are a key building block in Angular. Example: 

    AngularJS controller: 

    app.controller(‘MyController’, function () { 

      this.message = ‘Hello from AngularJS!’; 

    }); 

    Angular component: 

    import { Component } from ‘@angular/core’; 

    @Component({ 

      selector: ‘app-my-component,’ 

      template: ‘<div>{{ message }}</div>’, 

    }) 

    export class MyComponent { 

      message = ‘Hello from Angular!’; 

    3. Services

    Replace AngularJS services with Angular services and use Angular’s Dependency Injection system. Example: 

    AngularJS service: 

    app.service(‘myService’, function () { 

      this.getData = function () { 

          return ‘Data from AngularJS Service’; 

      }; 

    }); 

    Angular service: 

    import { Injectable } from ‘@angular/core’; 

    @Injectable({ 

      provided: ‘root,’ 

    }) 

    export class MyService { 

      getData() { 

        return ‘Data from Angular Service’; 

      } 

    4. Templates:

    Rewrite AngularJS templates to Angular templates using Angular’s HTML and template syntax. Replace AngularJS directives with Angular’s built-in directives: 

    AngularJS template: 

    <div ng-repeat=”item in items”> 

        <span>{{ item.name }}</span> 

    </div> 

    Angular template: 

    <div *ngFor=”let item of items”> 

        <span>{{ item.name }}</span> 

    </div> 

    Step 5: Testing, Integration, and Optimization 

    1. Thorough Testing

    Test your migrated components, services, and modules to ensure they function as expected. Here’s a Jasmine/Karma example for testing an Angular component: 

    describe(‘MyComponent’, () => {  

      it(‘should create’, () => {  

    const fixture = TestBed.createComponent(MyComponent);  

        const component = fixture.component instance;  

        expect(component).toBeTruthy();  

      });  

    }); 

    2. Gradual Integration

    Instead of migrating the entire application simultaneously, you can gradually integrate Angular components into your AngularJS application, testing and monitoring their interaction at each step. 

    3. Optimize for Performance

    Utilize Angular’s performance optimization features, such as lazy loading modules, tree-shakable dependencies, and efficient change detection mechanisms, to enhance your application’s performance and maintainability. 

    And what about testing? I don’t want to break anything! 💥 

    Testing is your best friend in this migration journey. We’ll write tests for everything, from your spanking new Angular components to those slightly less modern AngularJS buddies. We’ll make sure everything works harmoniously, like a perfectly tuned orchestra. 🎶 

    So, are you ready to ditch the dial-up and embrace the fibre optic speed of Angular? Let’s do this! 🚀 

  • Why is Node.JS so popular?

    Nowadays, most corporate organizations worldwide are opting for Node.JS to create their unique and game-changing applications. It seems that Node.JS has something to offer everyone, including Trello, PayPal, Walmart, and even NASA. Now, you may wonder why Node JS is the one. So, let us discuss the reasons why Node.JS is so popular.

    About Node.JS

    Node.JS is a specific server technology that is used to build and run various types of web applications. Its work is quite similar to the tasks of Spring Framework, Ruby On Rails, and ASP.NET. It works by leveraging JavaScript as the main language, which has a plethora of Plugins and is a lightweight built-in web browser. It can manage those Plugins through the NPM or Node Package Manager and hence, can enable you to custom-build applications as per your needs. Though it may seem like other good web technologies, it still has some specific features that make it really popular among organizations.

    Reasons why Node.JS is so popular

    It is really fast

    Node.JS is mainly a runtime of JavaScript that is powered by V8, created by Google to use in Chrome. This V8 has the power to execute and compile JavaScript at a great speed, mainly because it can compile JavaScript into a machine code that is native. Moreover, Node.JS has an amazing event loop, which is a single thread and can perform all the operations of I/O in an asynchronous manner. 

    In the case of Node.JS, when an application needs to perform an I/O operation, it sends task and callback actions that are asynchronous to the event loop and, after that, continues to perform the remaining program. On completing the sync operation, the even lop can return automatically to the task to perform a callback. This is unlike the traditional looping, which works by consuming a lot of memory and is very difficult to execute.

    Thus, writing and reading to file systems, network connections, and other tasks can be performed at lightning speed with the help of Node. JS. It enables developers to develop highly scalable and fast network applications that can handle bulk amounts of simultaneous connections.

    It uses JavaScript

    One of the most important reasons for the popularity of Node.JS is it uses JavaScript as its main language while developing applications. To speak honestly, JavaScript is the only option to build web applications in the browser. With the help of this Node.JS, JavaScript has revolutionized the server. This language is common to a maximum number of web developers and hence is driving the world nowadays.

    As JavaScript is a language known or used by many developers, the task of transitioning from any other web technology to Node.JS becomes a very easy job. Thus, Node.JS is preferred by most web developers.

    It offers high performance

    Wal-Mart had a great experience with vNode.JS in 2013, when they had to put their mobile-based traffic through Node.JS on the busiest shopping time of the year, Black Friday. However, on that day, the servers of Wal-Mart did not go over 1% CPU utilization and yet could deploy with almost 200,000,000 users online. On the other hand, PayPal uses Node.JS and has reported increasing the number of requests per second while decreasing the response time to a great extent, like by 35%. All these examples can prove the performance capability of Node. JS.

    It is reusable

    Another crucial benefit of Node.JS is re-use. The web technologies like ASP.NET or Spring need developers to have knowledge in other languages like Java, VB.NET, or C# to write server-side code. This means all their functions include a minimum of two languages, one on the server side and one on the client side. However, Node uses only JavaScript for both sides. Thus, web developers can interact with only a single language by choosing Node. JS. In addition to this, they can use this many times for future communications.

    It is lightweight

    Node.JS uses event-driven architecture, meaning everything executed on it is a series of asynchronous callbacks. This helps Node.JS to run on a single thread, unlike other web technologies where a new one is created for every request. Thus, Node.JS not only works as a lightweight but also creates the base of Node’s I/O feature that is non-blocking.

    Easy to maintain and modify

    Most built applications turn out to be less adaptive over time as new needs are fed. So, they may start creaking under that stress. However, developing services with Node.JS is a lot easier because, with this, a collection of small applications can be built instead of a large, single application. Thus, it can be modified or maintained with ease without changing anything deep inside the code-base.

    Conclusion

    Thus, with the above-mentioned reasons, you may understand why Node.JS has become so popular among organizations and developers. If you are looking for assistance in software product development, please reach out to us today! Our developers and engineers are well versed with the best practices to create robust software products and boost your success!

  • React Native and Flutter: A Detailed Comparison

    In our previous blog, we had laid out the basics of Flutter and React Native. We saw their advantages and disadvantages along with the popular apps that individually use them. Now, when it comes to their overall performance, it is quite debatable. Both of these frameworks provide the best with respect to agility and speed.

    In today’s blog, we will dive deeper into more details of their performance, architecture, responsiveness towards complex apps etc.

    Performance Comparison

    Flutter: Flutter, in most cases, provides better performance than React Native. It eliminates the need for any bridge for communication between native modules. This is made possible due to the fact that there are native components available.

    React Native: This needs the JavaScript bridge in order to communicate between the native modules. This is why more number of frames get dropped in an app. There is a provision to use third party libraries to optimize the bytecodes. This is something that is absent in Flutter, making it a better performer.

    Below, we will compare these two frameworks in some more parameters.

    Application Architecture

    Flutter: Flutter supports a layered architecture. The usual hierarchy of an app on this frameworks begins with top-level root function. Basic widgets are what come next and they interact with the platform and form layers. Beyond this second layer, we get the animation gestures. They help to transfer the API calls to the very basic foundation of the app. The benefit of such a layered architecture is that it is friendly for developers of varied experiences. They can easily make complex apps with really small components using Flutter.

    React Native: As we already know, React Native has a bridge between JavaScript and Native threads. Because of this, the JavaScript code is able to relay communications with the Native API. It works differently in iOS and Android. In the former it uses JavaScriptCore for all codes while in the latter, it uses it within the app only. This increases the native functionality undoubtedly. However, we need to note that it could cause device lags or performance delays.

    Compatibility with complex apps

    Flutter: As of this present day, Flutter does seem less suitable to handle complexity in app development. When it comes to building an MVP, yes, this is a great framework! Developers can also use Flutter to build better and quicker prototypes for experimentation and cost optimization.

    React Native: one strong point of React Native is its suitability to help build complex projects. One thing that we would like to remind here is that such development is possible only when you integrate native app development with it. In such stages, we can call your apps hybrid apps instead of cross-platform apps.

    Ease of Testing apps

    Flutter: Flutter apps are much easier to test as it offers an extensive support and facilities for automated testing. It has unending testing features and a detailed documentation on the same. You can test your apps at the unit and widget levels and even at the integration levels. Apart from this, Flutter also has its deployment process documented for further assistance to the developers.

    React Native: This framework has no official support for any interface level testing or integration testing. It comes with limited unit level testing frameworks that you can use to test apps. Developers need to take help from third party setups like Detox or Appium in order to correct bugs in the apps. Not only this, but React Native relies on third party libraries in order to build or release automation.

    Community Size

    Flutter: After its launch in the year 2017, Flutter has been gladly welcomed in developer communities all around. However, when it comes to professional contributors, React Native wins by a huge margin. Some of the popular platforms that can be used to connect with Flutter’s global community include Discord, Slack, Reddit and Stack Overflow etc.

    React Native: This framework was launched in the year 2015 and there has been no looking back since then! With a huge number of contributors, it is proved that the size of the community has been extensively growing. The community is very active and can even help a novice developer in building apps using this platform. You can reach out to the community through platforms like Telegram, Reddit, Slack, Meet up and more.

    Code Maintainability

    Flutter: Maintenance of codes in Flutter apps are quite easy. The codes are really simple and can easily help to detect any issues by developers. The total time taken for release of good updates or applying changes to an app is pretty decent than other frameworks like React Native.

    React Native: It could be a task to upgrade or solve bugs in a code on React Native apps. When you change any code, it affects the framework’s logic and can slow down the development. Not only this, as we already saw, there can be a lot of third-party dependency.

    These are some of the basic differences between the two platforms. You should choose Flutter if native functionality is not a mandate for you and you are tight on costs and time. For faster codes and deployment, Flutter is the right fit. You must choose React Native if you are looking to scale your existing apps and build lightweight native apps.

    Confused what is the right choice for you? Call us now and our engineers will help to solve your issue in a few minutes! At EOV, we have software developers who are well versed with various frameworks and will help you build just the right app in the promised timeline!

  • Securities in NodeJs

    There is hardly any programming language or framework that is void of vulnerabilities and challenges. NodeJS is no different. While its core is absolutely secure, there arises a need for additional security features for the third party packages in your web apps.

    According to one research, 14% of the Node Package Manager is affected with some or the other security issues. So, what is the cause of these security issues?

    Why do NodeJS projects face security risks?

    Before we answer this question, let us know in brief what an NPM is. The NodeJS package manager is one of the biggest open source package ecosystems that has tremendously helped to boost the functionality of the app in addition to the developer productivity.

    So, the main issue is that open source applications get licensing and security issues from their respective components. What is risky is that security testing tools are usually ineffective at detecting open source vulnerabilities. Apart from this, NodeJs easily installs additional modules which can be a threat to security too. Also, being more popular, NodeJs is often susceptible to hackers and other threats.

    What are the most common NodeJS security risks?

    While NPM phishing and regular expressions DoS (Denial of Service) are very common, other web security issues like cross-site scripting, security configuration and unvalidated redirects also pose a risk. The security issues arising from the use of NodeJs can expose you to attacks such as man-in-the-middle, code injection etc. Let us look at the various risks that may cause these and how to solve the same.

    Using older versions of Express

    The most popular web application framework for NodeJS is Express. The older versions of this framework could pose a serious security risk as they were not designed with security in mind. The developers have to use only the updated and maintained versions of the framework to ensure that the applications are secure.

     Cross-site Scripting

    Cross site scripting (XSS) allows hackers to insert unwanted client side scripts to web pages that may be viewed by other users. One major risk of this is data leaks. This can compromise your value and leak critical information outside. To prevent such attacks, developers can make use of output encoding techniques or tools like Jade with built-in encoding frameworks.

    Default cookie session name

    with session cookies, websites can identify users. All of your activities on a website get stored as cookies. The most common example of this functionality is the shopping carts in e- Commerce sites. Because of the session cookie, your website remembers your selected items on any site. As a result, your shopping cart on this e-Commerce site will have your selected items for checkout. If you open a new page, your past activities will not show up without session cookies.

    It is risky to use default cookie names because attackers can know these names and pose a threat to your app. The best way to avoid this is to use middleware cookie session modules such as express-session.

    Cross-Site Forgery Requests

    CSRF attacks are the primary cause for end users abruptly ending actions on authenticated web apps. The targets of these attacks are alterations in the application state requests. This is mainly because the attackers cannot see the forged request-response. To prevent such attacks, one needs to use Anti-Forgery Tokens that monitor and validate the authenticity of user requests. These tokens also help to prevent one-click attacks.

    Apart from the above, there are some common best practices that developers must follow while using NodeJs for enhanced security in their applications. Let us look at a few of those below.

    Best NodeJS security practices

    Here are some of the best practices to make your NodeJS application more secure.

    Validating user inputs

    SQL injections are the most popular kind of threat attacks. They happen when a malicious user is able to execute SQL statements on a particular database that you own. To avoid this, you must not blindly pass parameters from the frontend and to the database query. A better thing to do is to validate or escape values that the user provides. Database libraries like mongoose or knex will do it for you.

    Implementation of strong authentication

    A weak or broken authentication mechanism is the next biggest threat in NodeJS use. Some important things to consider include  not using NodeJS built-in crypto library. Instead, you must use Scrypt or Bcrypt. Apart from this, you shouldn’t tell the user if they have entered a wrong username or a wrong password in particular. Opt for a more generic term like “Incorrect credentials”. Also, proper session management policies will greatly boost your application security.

    Automatic vulnerability scanning

    The NodeJS ecosystem has numerous modules and libraries that can be installed. So, obviously, you would end up using many of those in your projects. This naturally opens up the possibility of facing security threats. To ensure proper security, you must run frequent and automated vulnerability scans. You can use npm audit for basic checks, but you can also check out other popular tools Retire.js and WhiteSource Renovate. Check out some more here.

    Conclusion

    It is of utmost importance to make your applications secure at all times in a software development cycle. Therefore, while working with NodeJS, security should be on top of your mind, without which your data will be at a constant threat of being hacked or compromised.

    At EOV, we have expertise in building safe applications by the proper use of the right framework, taking all necessary safety measures. If you would like us to build comprehensive, quality and secure web based applications for your business, you can reach out to us today!