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.
For most of my software engineering career, my experience with DevOps was all about configuration management. But after many years of experience with some key mentors, I began to see DevOps as so much more. In this article, I’ll summarize my DevOps evolution from a high level. If you’d like to go further in-depth, check out the recording from my Destination: Automation presentation below.
Excellent developers are the lifeblood of software companies. Therefore, organizations and HR teams must think hard about the values that make an individual the best fit for their teams. Different organizations follow different practices and working styles, and have unique preferences regarding a good candidate.
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.
Canary deployment is a risk mitigation strategy for software releases. it allows applications developers to limit the damage caused by the release of faulty software updates and roll back such faulty updates quickly and safely without compromising the entire software assets.
As the definition suggests, speed and reliability are the two main objectives in a DevOps testing strategy. The traditional independent-working mindset would be removed by tightening the Dev (development) and Ops (operations) functions together. The process, in turn, makes tight delivery schedules for processes at scale less of a nightmare.
