Systems | Development | Analytics | API | Testing

Application programming interface (API) automation testing is a type of automated testing that focuses on the performance and functionality of APIs. This process can test APIs for correctness, compatibility, and efficiency. API automation testing can ensure that APIs function properly and meet consumers’ expectations. Here’s the key things to know about API automation testing: Table of Contents.

Here at SmartBear, our motto is that quality isn’t just the goal, it’s the whole point. The software development process is intricate and dynamic, with constant changes being made to meet evolving user requirements and address defects. However, with these changes come potential risks. One of the most significant challenges in software development is ensuring that making modifications to an application does not inadvertently break existing functionality.

Diving into the world of GitHub Actions can be like opening a treasure chest for your projects. Imagine having a magic wand that automates all the tedious bits of software development, from testing to deployment, all within GitHub’s cozy ecosystem. Let’s embark on this adventure together, shall we?

In the rapidly evolving landscape of API management, understanding the raw performance and reliability of your API gateway is not just an expectation — it's a necessity. At Kong, we're dedicated to ensuring our users have access to concrete, actionable data to guide their operational and development strategies.

Today, an extensive range of websites and web applications significantly impact our daily lives and businesses. From online shopping and banking to social networks and news portals, they have become essential tools for communication, entertainment, and productivity. They streamline tasks like paying bills, booking travel, collaborating with colleagues, and even ordering groceries.

Unlock enhanced platform engineering with traffic replay for real-world performance testing, ensuring faster feature delivery with consistent quality.

Artificial intelligence (AI) apps are becoming increasingly crucial for individual customers and businesses alike. These apps bring many benefits, such as task automation, efficient analysis of large data sets, and data-informed decision-making, making AI-powered applications highly valuable. As a result, DevOps teams working on AI apps can’t afford poor performance.

The world of automotive software is constantly shifting and transforming. From autonomous, self-driving cars to electric cars and advanced driver assistance systems, software in cars continues to become more integrated and complex. In fact, according to research from the Institute of Electrical and Electronics Engineers, most cars today now incorporate more than 100 million lines of code, whereas ten years ago this level of automotive software could only be found in high-end vehicles.