Mock APIs: A Beginner’s Guide to Mocking Toolsets
Mock APIs are vital tools in modern software development. They allow developers to simulate APIs and continue testing and development without backend...
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API mocking: build realistic dependencies without hand-written fixtures
Replace unavailable, expensive, or unstable dependencies with mocks that behave like the real service. Start with the basics, compare the tools, then build from recorded traffic.
Start here
Start with the API mocking basics
Choose what you need to do
Learn the concepts
Understand mocks, stubs, and service virtualization before choosing an implementation.
Choose a tool
Compare common mocking tools by workflow, protocol support, and maintenance cost.
Build realistic mocks
Create mocks for HTTP, gRPC, and JSON APIs from examples or recorded traffic.
All API mocking articles
Playwright End-to-End Testing with Recorded API Mocks
Run Playwright tests with recorded API mocks, diagnose UI and API failures, then run the same specs in Kubernetes. Use the lab's commands and screenshots.
Top 8 API Mocking Tools and Methodologies
Compare API mocking tools. Choose function stubs, examples, or recorded network responses, and keep fixtures aligned with the intended contract.
How to Get Started with GoMock Playbook
Use GoMock with small Go interfaces, pinned mock generation, and runnable tests. Learn when an HTTP test server or real dependency check is needed.
GoReplay vs Speedscale for Kubernetes Load Testing
Compare GoReplay and Speedscale capture, TLS requirements, dependency mocks, and local or Kubernetes replay. Verify the exact workflow before choosing.
Speedscale vs. LocalStack for Realistic Mocks
API mocking plays a crucial role in modern software development allowing developers to simulate external API endpoints.
Orchestrated Service Virtualization: The Definitive Guide
Coordinate virtual services with versioned fixtures, explicit routing, readiness checks, and repeatable resets. Start with one useful dependency.
Using Python MockServer for API Testing
Use Python requests with MockServer’s REST API to create expectations, test failure responses, verify calls, and reset state between tests.
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. Keploy: A Technical Comparison
Speedscale vs. Keploy: compare passive capture, protocol coverage, local replay, load testing, and data controls for production traffic testing.
Create API mocks from real traffic
Record your application once, then run its dependencies locally without maintaining fixtures by hand.