Systems | Development | Analytics | API | Testing

TCP connections, they are everywhere, almost every online interaction you make, whether it’s streaming your favourite video, sending an important email, or just casually browsing through different websites. They are like the foundational building blocks of the internet and so it’s important for them to be consistent and reliable. As you can see TCP servers get and handle billions of requests in a day, so it’s important for them to be able to do this efficiently.

Selenium has long been the standard for web automation testing, but modern web development demands more flexible, efficient, and developer-friendly solutions. We are Node.js developers and we all know what a Node.js developer wants.

Imagine you’re testing a specific feature in an app, say the login page. You’ve already run your test cases, and things look fine, but you want to go further. What if you hammer this one feature repeatedly, trying to break it by using unexpected inputs or extreme scenarios? Gorilla testing is an approach that is preferred when we are trying to understand in depth about a particular functionality.

Access control, also known as authorization, is a critical aspect of application security that ensures users can access only the resources they are permitted to use. And a failure in access control,- can lead to unauthorized data exposure, privilege escalation, or system compromise. Imagine, What if the keys to your house were lying in plain sight, allowing anyone to walk in? That’s exactly what broken access control feels like for hackers.

Databases are the backbone of modern applications, enabling efficient storage and retrieval of data. But have you ever wondered why databases like PostgreSQL don’t simply use HTTP for communication? The answer lies in the specialized nature of database protocols. The PostgreSQL wire protocol is specifically designed to handle complex database tasks such as transactions, secure authentication, and efficient data transfer.

When building or maintaining software, one thing is certain: data is everywhere. Whether you’re running an e-commerce platform, a banking system, or a social media network, your application is handling, storing, and processing a ton of data. This is where Volume Testing comes into play. Think of it as testing your application’s ability to stay calm and composed when it’s hit with an ocean of data – thousands of records, large files, and long lists of entries.

In the fast-paced world of software development, time-to-market is everything. With AI and generative AI tools making their mark, developers now have the power to reduce development time drastically while maintaining high code quality. One such game-changing application? AI-powered VS Code extensions for unit testing. These intelligent extensions are not just tools; they’re enablers, helping teams ship features faster, reduce bugs, and maintain confidence in their code.

Did you know 88% of users don’t return to sites with poor experiences, even if they offer excellent services and content? It’s time to recognize that a seamless user interface (UI) and user experience (UX) are essential to a product or company’s success, not mere luxuries. This is where Continuous UI Testing steps in. Ditching the conventional testing approaches, continuous UI testing integrates itself into almost every step of development & deployment.

If you’re an SDET who’s been using Playwright for API testing, you might be all too familiar with the frustrations of dealing with database dependencies, data management, and the endless need for cleanup. Let’s face it – Playwright, while fantastic for UI testing, can be cumbersome when it comes to API testing. But what if there’s a better way to handle this?