Sustainable Continuous Delivery: Patterns for rapid and reliable Releases
summary
Value comes from specifics: map the value stream to expose an 18‑month approval delay at one bank, measure lead time, change failure rate and MTTR (State of DevOps shows ~46× more deployments, ~7× lower failure rate and thousands× faster recovery), and apply concrete patterns—single path to production, continuous pruning—to speed feedback. Build ephemeral test environments, health checks and smoke tests so deployments are reliable, treat the CI/CD toolchain as a product with blue/green updates, pipelines‑as‑code, aggregated logs and autoscaling so the delivery system actually stays available.
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chapters (14)
- 0:00Start
- 0:07Sustainable Continuous Delivery
- 5:23Safety or Reliability
- 9:52The Urgency Paradox
- 10:07Focusing on Key Metrics
- 15:33Health Checks
- 23:12Shorten the Path to Production
- 23:23Short and Wide Pipelines
- 25:27Continuous Pruning
- 29:36Teams and Interactions
- 30:39Sustainable Delivery
- 37:27Monitoring
- 38:04Pipeline Id
- 39:24Auto-Scaling
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