API Testing Tools Best Practices Guide
Choose API testing tools for exploration, CI regression, and dependency isolation. Compare assertions, protocols, workflows, and migration requirements.
Speedscale Blog
Latest insights on API testing, performance optimization, and software development best practices from the Speedscale team.
Application Level Dependency Chaos Testing
A scoped chaos rule takes one dependency down and nothing else, so the fallback branch in your code executes on demand instead of during an outage.
Auto-generate Postman Collections from traffic
Export recorded HTTP requests to Postman collections. Add assertions, test credentials, and variables, then review updates before running in CI.
How Load Testing and Mocks Work Together
Combine load testing and mocks to isolate service performance. Learn when dependencies should stay real and how to avoid misleading capacity results.
The API tests passed. The database didn't.
Compare recorded SQL between releases with proxymock. Find query-count drift, new statements, captured DDL, and timing changes that HTTP tests can miss.
Considerations for Testing gRPC Streams
Test gRPC streams with clear boundaries for recorded mocks, real message buses, cancellation, flow control, and supported streaming versions.
Determine Throughput Performance Testing
Measure throughput with defined transaction boundaries, sustainable load stages, latency and error goals, and enough load-generator capacity.
How to Calculate TPS for Kubernetes Performance
Calculate TPS from completed transactions and a measured time window. Distinguish requests, business outcomes, retries, latency, and errors.
Diagnose Serial N+1 API Calls With Tempo + proxymock
Diagnose serial N+1 API calls with Tempo and proxymock. Replay recorded traffic, inspect trace windows, and prove a concurrency fix preserves behavior.