Optimizing Docker Builds - Successes, Failures, and Instrumented Observability

Optimizing Docker Builds - Successes, Failures, and Instrumented Observability

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Optimizing Docker

1 of 18

1 of 18

Optimizing Docker

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Optimizing Docker Builds - Successes, Failures, and Instrumented Observability

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  1. 1 Optimizing Docker
  2. 2 Deployment pipeline
  3. 3 Layer Caching Changing the order of execution can
  4. 4 Multi-stage builds Not only can multistage builds reduce parallellation and better caching
  5. 5 Our Docker build is still slow
  6. 6 Why do we care?
  7. 7 Buildkit inline caching
  8. 8 Changes without results
  9. 9 Opentraces with Jaeger
  10. 10 Insights from Jaeger
  11. 11 Monitoring tool overload
  12. 12 A simpler solution
  13. 13 Observability pipeline Simple, flexible, with very little overhead
  14. 14 Comparing builds
  15. 15 The fun questions
  16. 16 Optimizations we're exploring Caching dependency install
  17. 17 Learnings
  18. 18 Questions?

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