Today’s complex, dynamic applications demand rigorous resilience testing. A common hurdle is accurately mimicking real user behavior. This post discusses a possible solution: production traffic replication (PTR), a technique that captures actual user interactions to enhance chaos testing, and the principle of intentionally introducing failures to evaluate application recovery.

This is a guest post from Artem Zakharchenko, creator of MSWJS, an API mocking library for Javascript. He also writes about testing for EpicWeb and on his personal blog. Test flakiness is a big issue. Not only can it be a colossal time investment to detect and fix, but it hurts perhaps the biggest value you get from your tests—their trustworthiness. A test you cannot trust is a useless test. Time spent maintaining a useless test is time wasted; time that could have been spent building.

After spending hours or even days manually testing your software, you may be wondering whether or not there’s a better way. The good news? There is.

Today’s fast-paced development environments require new approaches to testing. Enter continuous performance testing. Unlike traditional performance testing, automated continuous performance testing is part of every build, monitoring the application continuously under increased load. With continuous performance tests, organizations with lots of users can expect to improve the customer experience, prevent major outages, and find and resolve issues faster.

Skaffold is a command line tool that facilitates continuous development by streamlining the workflow for building, pushing, and deploying Kubernetes applications. Skaffold handles the complexities of Kubernetes deployments, allowing developers to focus on local application iteration while managing deployments efficiently. Get started with our tutorial.

I'm a bit of an AI skeptic. And even though GitHub Copilot is my daily auto-completion on steroids, I always double-check the code generated by LLMs. If you're using AI for coding, you probably know that the results are sometimes surprisingly good and other times shockingly terrible. Lately, I have seen more and more articles and even docs recommending ChatGPT to generate Playwright tests. Could this be true? Are ChatGPT and friends really that good at generating test code?