ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Learn how Gatling’s CSV feeder injects real data into virtual users, enabling realistic load tests. The article covers setup, usage, debugging, trade‑offs, and a step‑by‑step example.
Learn how Gatling feeders inject dynamic test data from CSV, JSON, JDBC, Redis or custom sources, with a concrete example, setup steps, and key limitations to watch.
Learn how k6’s http.batch lets a single virtual user send multiple HTTP requests in parallel, with a worked example, trade‑offs, and verification steps.
Learn when to use Virtual Users versus Arrival Rate executors in k6 to avoid coordinated omission and ensure stable throughput during performance benchmarks.
Learn how to use Gatling CSV Feeders to parameterize HTTP requests, avoid server-side caching, and choose between random, circular, and queue distribution strategies.
Learn how to use k6 thresholds to turn HTTP latency measurements into clear pass/fail signals for your load tests and CI pipelines.
Scale load tests automatically with Karat Labs. Learn how to define JSON scenarios, let Kubernetes autoscale workers, monitor real‑time metrics, and embed tests in CI pipelines.
gatling
k6
karatelabs
kubernetes