End-to-End Testing Guide
This section provides comprehensive end-to-end testing workflows using Speedscale to validate your APIs with real-world traffic scenarios.
Overview
End-to-end testing with Speedscale involves capturing production traffic, transforming it for testing environments, and replaying it to validate system behavior. This approach ensures your tests reflect actual user patterns and data flows.
Key Workflows
Authentication & Security Testing
- JWT Token Handling: Transform and validate JWT tokens in test scenarios
- Login Flow Testing: Capture and replay authentication sequences
- Security Redaction: Manage sensitive data during testing
Traffic Analysis & Validation
- Request/Response Validation: Compare expected vs actual API responses
- Traffic Pattern Analysis: Understand and reproduce real usage patterns
- Performance Testing: Load test with realistic traffic volumes
Mock Services & Virtualization
- Service Mocking: Create mocks from captured traffic
- Third-party Service Simulation: Replace external dependencies with mocks
- Test Environment Isolation: Ensure consistent test conditions
Visual Guides
The screenshots in this section demonstrate:
JWT token transformation and validation
User authentication flow capture
Data transformation configuration
Real-time traffic monitoring and analysis
Comprehensive test result reporting
Service mock setup and configuration
Getting Started
- Capture Traffic: Begin by capturing production or staging traffic
- Transform Data: Configure data transformations for your test environment
- Create Mocks: Set up service mocks for external dependencies
- Run Tests: Execute end-to-end test scenarios
- Analyze Results: Review reports and validate system behavior
Related Documentation
For detailed implementation guides, see the specific sections for Setup, Transform, and Replay.