k6 tutorial: captured traffic with mocked backends
Capture API traffic with Speedscale, export a k6 load scenario, and mock backend dependencies in Kubernetes with speedctl or locally with proxymock.
Latest insights on Agentic AI workflows, cloud native architectures, and performance optimization best practices from the Speedscale team.
Capture API traffic with Speedscale, export a k6 load scenario, and mock backend dependencies in Kubernetes with speedctl or locally with proxymock.
Compare Istio traffic mirroring with Speedscale replay in Kubernetes. Use capture, redaction, and dependency isolation for repeatable regression tests.
Capture one service's API traffic, replay it against a Kubernetes test workload, and use the report to tell a regression from a replay setup problem.
Start holiday readiness with a local proxymock load test. Use agent skills to record a Node app, mock its API dependency, and inspect the results.
Record the queries your app sends to PostgreSQL in Kubernetes, then replay them against a QA database as a load and regression test. No scripts to write.
How we moved GitLab CI to GKE with shared BuildKit caching, multiple Spot machine types, and an on-demand fallback for scarce capacity.
Replay your app's recorded MySQL statements against 8.4 to catch upgrade regressions, then load test the database with the same workload using proxymock.
Prepare your checkout for Black Friday with production traffic replay, peak-load tests, and partner API failure rehearsals before the holiday code freeze.
Replay recorded PostgreSQL queries to catch schema regressions and run realistic database load tests with proxymock, using the CLI or an AI assistant.
One forwarder, many teams, one DLP rule nobody wants to touch. Scoped group rules let each team own its redaction. How-to for proxymock web and Speedscale.