The HAProxy load balancer provides a set of APIs for configuring it programmatically. Although many people enjoy the simplicity of configuring their HAProxy load balancer by directly editing its configuration file, /etc/haproxy/haproxy.cfg, others want a way to do it without logging into the server. Or, they want a way that integrates with bespoke software. For example, they want to add pools of servers to the load balancer programmatically as a part of their CI/CD deployment pipeline.

Today’s software testing trends show the growing demand for more efficient and automation-oriented API testing. Many of the current test automation solutions focus on the UI, while most API-level testing is still done manually. As a result, testers are in need of easy-to-use, intelligent automation tools for testing APIs — improving their productivity and efficiency, while also reducing time-to-market.

Cloud native API Testing comes with a lot of challenges. In this video see how to overcome these challenges with the novel approach of traffic replay.

Are you looking to benefit from automation but lack the experience to leverage an API? To equip you with the tools you need to start utilizing APIs and automation, we’ve put together these helpful Beginner FAQs covering common terminology, methods, and tools for testing APIs.

For years, enterprises have been employing monolithic applications with complex functional frameworks. But today, with advanced solutions built ith API’s and Microservice architecture are putting an end to their realm. With ever-changing requirements in the IT world, enterprises are required to adopt advanced applications with sophisticated features and functions that can accommodate changes throughout.

As software got more complex, more and more software projects rely on API integrations to run. Some of the most common API use cases involve pulling in external data that’s crucial to the function of your application. This includes weather data, financial data, or even syncing with another service your customer wants to share data with. However, the risk with API development lies in the interaction with code you didn’t write—and usually cannot see—that needs debugging.