Automating API Mocks in Your CI Pipeline with proxymock
Run recorded API mocks in GitHub Actions with proxymock. Use the existing Go demo, check response bodies, and connect the job to a reviewed replay baseline.
Latest insights on Agentic AI workflows, cloud native architectures, and performance optimization best practices from the Speedscale team.
Search answers across the full blog library
Run recorded API mocks in GitHub Actions with proxymock. Use the existing Go demo, check response bodies, and connect the job to a reviewed replay baseline.
Compare service virtualization tools by protocol, deployment and license. Choose local recorded mocks, Kubernetes replay or shared enterprise virtual services.
Compare service virtualization, mocks, and stubs. Choose the right test boundary, verify state behavior, and keep real dependency checks where they matter.
Dark code is software no human has written, read, or reviewed. See what traffic replay can verify, its limits, and a working regression check.
API traffic replay testing guide with verified examples. Compare GoReplay, WireMock, Speedscale and proxymock, and see what a CI replay gate proves.
Design a traffic replay system that catches wrong responses. Connect recordings, state isolation, response checks, and CI gates with a proxymock example.
Improve AI code reliability with reviewed requirements, preserved traffic baselines, and explicit replay gates. Reuse working examples before deploying.
This how-to video shows how to use Speedscale's full-text traffic search to instantly find where a specific piece of data appears as it flows through your.
Production AI spend gets attention. Non-prod LLM calls in development, CI, and load tests often do not. Simulation fixes that.
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.