Five Levels of API Automation
summary
Splits API checks into five executable phases that run inside the service repo and deliver faster feedback: docker containers with mock servers isolate the API for acceptance/component tests, GitLab ring‑fenced namespaces spin up real dependent services for integration, smoke jobs run post‑deploy, periodic synthetics under Prometheus alert on drift, and chaos‑monkey data pulls query production‑like rows. Uses jest, request‑promise and snapshot/assertion files, handles a 300+ endpoint estate, and the pipeline approach proves effective at catching flaky and dirty‑data failures.
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chapters (22)
- 0:00Intro
- 0:27About Shekhar
- 3:42Automation Principles
- 7:59The five levels of API automation
- 9:00Unit tests integration tests
- 10:21Technologies
- 11:45Freedom
- 12:55Mock Files
- 13:33Approval Tests
- 14:17Git Lab
- 14:38Contract Testing
- 15:12Post Deployment Testing
- 16:17Monitoring
- 17:26Data Chaos Monkey
- 18:18Chaos Monkey Test
- 18:54Pipelines
- 20:21Maintenance
- 21:42Ringfence
- 22:09Synthetic vs Smoke Tests
- 22:54Change in API
- 23:32Testers
- 24:38Tools
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