https://idle-ti.me • This is a web feed, also known as an Atom feed. Subscribe by copying the URL from the address bar into your newsreader. Visit About Feeds to learn more and get started. It's free. Visit website Recent posts Updated on $DATE date chaos engineering Performance engineering & observability — articles, curated tools, and projects by Jérôme Ramette. Zola2026-06-11T00:00:00+00:00https://idle-ti.me/tags/chaos-engineering/atom.xml 2026-06-11T00:00:00+00:00 2026-06-11T00:00:00+00:00 Jérôme Ramette https://idle-ti.me/blog/performance-testing-by-use-case/

Most performance-testing programmes have a load generator. Few have a representative dataset. Almost none can inject failures while measuring user-perceived latency. The reasons are multi-causal — a culture that treats performance as a release-time formality, plans that under-budget the supporting work, applications whose testability was never designed in, and a tool catalogue organised by category rather than by intent. This article reframes performance testing around seven use cases — API load testing in CI/CD, full-stack validation, microservice resilience, database benchmarking, frontend optimisation, capacity planning, and pre-production data realism — and uses them as the spine of a practical campaign-setup guide: what each test is trying to prove, what testability hooks it requires, what it realistically costs, what cultural pre-requisites it has, and which combination of tools assembles it.