Harden your API by adding chaos engineering to your tests
Blog post from Postman
Manuel Gerding, a product manager at Steadybit, discusses the evolution of software development from monolithic architectures to distributed systems, emphasizing the importance of robust API testing in such environments. He highlights how distributed systems introduce additional error cases due to their reliance on multiple connected services that may not always function smoothly. The blog post outlines a method for integrating Postman's end-to-end API testing capabilities with Steadybit's chaos engineering tools to explore an online shop system's behavior under both normal and turbulent conditions. Using a practical example involving microservices for different product categories, Gerding explains how to create and run a chaos engineering experiment that tests the system's resilience during a rolling update deployment. The experiment uncovers issues in the API response during disruptions, leading to a fix involving Kubernetes configuration adjustments to ensure continuous readiness and functionality. This integration demonstrates the value of combining chaos engineering with API testing to assess and improve system reliability under adverse conditions.
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