Advantages of Service Virtualization Over Service Mocking
Compare service virtualization, mocks, and stubs. Choose the right test boundary, verify state behavior, and keep real dependency checks where they matter.
Speedscale Blog
Latest insights on API testing, performance optimization, and software development best practices from the Speedscale team.
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.
Gatling vs. Speedscale for Kubernetes Load Testing
Compare Gatling and Speedscale for Kubernetes load tests. Evaluate scripts, recordings, dependency isolation, and CI results alongside existing tests.
Speedscale vs. HyperTest: API Testing Comparison
Compare Speedscale and HyperTest capture setup, dependency mocking, and CI workflows, with practical questions to test during an evaluation.
Speedscale vs. JMeter for Kubernetes Load Testing
Compare Speedscale and JMeter for Kubernetes load testing. Check test setup, retained plans, dependency mocks, CI gates, and performance evidence.
Speedscale vs. Keploy: A Technical Comparison
Speedscale vs. Keploy: compare passive capture, protocol coverage, local replay, load testing, and data controls for production traffic testing.
Speedscale vs. SmartBear ReadyAPI for API Testing
Compare Speedscale and ReadyAPI workflows for recorded traffic, authored assertions, dependency virtualization, and CI testing.
Validate Spring Boot Upgrades with Traffic Replay
Validate Spring Boot upgrades with recorded traffic. Compare API behavior, control dependencies, and review changes before updating the test baseline.
Team-Based DLP: Give Each Group Its Own Redaction Rules
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.