Enforcing Performance SLAs with k6 Thresholds in CI
k6 thresholds turn load test metrics into automated pass/fail criteria, and when integrated into CI they become a reliable gate for performance SLAs.
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k6 thresholds turn load test metrics into automated pass/fail criteria, and when integrated into CI they become a reliable gate for performance SLAs.
Stop relying on manual graph reviews. Learn how to use k6 thresholds to automate API SLA validation and prevent performance regressions from hitting production.
Learn how Gatling's asynchronous architecture overcomes the thread-per-user bottleneck to simulate thousands of concurrent users without crashing your injector.
Load testing real-time applications requires WebSocket support. Gatling's built-in WebSocket simulation handles bidirectional communication for chat apps, live dashboards, and collaborative tools with memory-efficient non-blocking I/O.
Learn how to encode service‑level objectives as k6 thresholds and checks so load tests automatically fail when SLOs are breached, with a minimal script, trust boundaries, operational checks, failure modes, and design‑change triggers.
Learn how to feed each virtual user unique data from a CSV and validate responses with Gatling checks so your load test reflects real‑world behavior.
Learn how k6 thresholds let you embed SLA rules directly into load‑test scripts, automate PASS/FAIL decisions, and gate CI/CD pipelines with clear exit codes.
k6 runs each Virtual User in its own Goja runtime on a goroutine — great for I/O-bound load, dangerous for CPU-heavy scripts. An architecture note on sizing one generator correctly and knowing when to split.
Learn how to load dynamic data from a CSV file into Gatling simulations, choose the right feeder strategy, and verify the behavior without risking memory overload.