Testing Strategy and Quality Management¶
Quality and development speed are connected through technical debt: poor quality = slow development. Good testing infrastructure enables faster, safer deployments.
Testing Pyramid¶
/ E2E \ <- Fewest, most expensive, slowest
/ Integration \ <- Middle layer
/ Unit Tests \ <- Most tests, cheapest, fastest
Rule: many unit tests, ~10x fewer integration, ~10x fewer E2E.
| Level | What | Cost | Speed |
|---|---|---|---|
| Unit | Individual functions | Cheap | Fast |
| Integration | Service interactions | Moderate | Moderate |
| E2E | Full user flows | Expensive | Slow |
Contract Testing¶
Ensures two services can interact correctly by verifying API contracts match. Critical when multiple teams own different services. Prevents breaking changes when one team modifies their API.
Workflow: service A defines expected request/response -> contract published -> service B validates against contract -> any mismatch flagged before deployment.
Chaos Engineering¶
Intentionally inject failures to test resilience. Netflix Chaos Monkey randomly kills production services.
If you're not Netflix/Google scale, you don't need it. Only relevant for massive distributed systems verifying resilience to random failures.
Types: fault injection (errors), traffic shaping (simulate conditions).
Test Design Techniques¶
Strategic selection of test cases to check maximum functionality with minimum tests: - Equivalence partitioning (one value per input class) - Boundary value analysis (edges of valid ranges) - Decision tables (combinations of conditions) - State transition testing (valid/invalid state changes)
Impact Analysis¶
When making changes, developers communicate to testers what areas are affected. Cross-team collaboration essential - testers need to understand the impact radius.
Quality + Deployment Connection¶
Contract testing + proper migration strategy + quality gates = confidence to deploy frequently.
The less obvious point: good testing infrastructure enables faster, safer deployments, not just catches bugs.
Gotchas¶
- Testing pyramid inversion (many E2E, few unit tests) = slow, fragile, expensive CI
- E2E tests for every feature - only critical user journeys deserve E2E. Use contract tests for service boundaries
- Chaos testing without monitoring - injecting failures without observing results is just breaking things
- 100% code coverage doesn't mean quality - can have full coverage and miss critical edge cases
See Also¶
- devops cicd - CI/CD pipeline stages, deployment strategies
- microservices communication - Circuit breaker as runtime quality pattern
- quality attributes reliability - SLA, availability testing