Systems | Development | Analytics | API | Testing

Today’s software testing trends show the growing demand for more efficient and automated API testing. Manual testing is not only time-intensive for internal testing teams, it can also lead to poor customer experiences. When manual testing processes cannot proactively discover issues, your customers may inevitably be the ones finding them. Many of the current test automation solutions today focus on the UI, while most API-level testing is still done manually.

The method of a company to obtain, exploit and store information or knowledge employed to make the business run profitably is known as “knowledge management”. Several small or mid-sized businesses, miserably, just wait for the big companies or market players of the industry to specify which knowledge should be preserved and how it should be managed.

When writing test automation scripts in Selenium Python, verifying that the actual outcomes match the expected results is crucial. This is where assertions come into play. Assertions help ensure that your application is working as intended by checking specific conditions and halting execution if they fail. In this blog, we’ll break down the concept of assertions in Selenium Python, provide some easy-to-follow code examples, and explain how they can make your test scripts more robust.

Payment testing is undeniably challenging. Companies invest heavily in verifying end-to-end transaction success, but even the most skilled internal teams and sophisticated lab environments have their limits.

Web-based applications continue to be part of the modern connected experience, whether for banking, entertainment, health, or others.

PostgreSQL's EXPLAIN command is a powerful tool that provides insights into how a query will be executed. It helps developers and database administrators identify potential performance issues in their queries. In this blog, we will explore what EXPLAIN is, when to use it, how to interpret its output, and techniques for optimizing queries based on the insights it provides.

Unit tests are essential for increasing the test coverage of a backend application, ensuring its reliability, functionality, and robustness. Jest has become one of the most popular solutions when unit testing in Node, due to its intuitive API, zero-configuration philosophy, and flexible approach to code transpilation. In this guide, you will learn more about Jest, explore its features, and see it in action through a complete example. Become a Jest unit testing expert!

In the previous part of this series, we discovered how to create persistent connections in Rack in theory, but now we'll put what we learned into practice. The web has two formalized specifications for communication over a persistent connection: server-sent events (SSEs) and WebSockets. WebSockets are widely used and highly popular, but SSEs are far less well-known. Let's explore them first.

In today’s digital age, data has evolved from being a mere byproduct of business processes to becoming the cornerstone of strategic decision-making. Yet, for many organizations, unlocking the full potential of their data remains a significant challenge. Traditional data analytics models often create bottlenecks, relying heavily on overextended IT departments to provide insights, which delays decision-making and limits agility.

One of the most important aspects of a product is the ability to showcase its functionality. In the API space, it’s very important for a product to not just claim something, but to show that utility and use. One of the best ways to do this is through the use of a demo environment. A demo environment is a perfect method to surface a specific use case or example for users, showcasing functionality that is often tailored to a specific interest group.