Serverless Operations: From Dev to Production

on YouTube ↗34m

" summary

Operational guide to running FaaS on Kubernetes that gives concrete practices: use emulators or open-source platforms to develop locally but expect sync problems with localstack and prefer deploying the same runtimes in dev and prod; build pipelines produce Docker images or archives and tests are integration-heavy, one per dependency; deploy with declarative GitOps and use canary deployments to shift traffic and rollback on error rates; mitigate cold starts with package-level caching, tune memory (affects CPU/io) and consider keeping minimal warm instances for latency.

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" chapters (27)

1. 0:00Intro
2. 0:47Why serverless computing?
3. 3:08Function-as-a-Service (FaaS) in a nutshell
4. 4:06Serverless users use more functions...
5. 5:02The traditional DevOps lifecycle
6. 6:16The serverless DevOps lifecycle
7. 7:17Keep the development loop fast
8. 8:08Limitations of online serverless development
9. 9:42Develop locally
10. 10:53FaaS emulators
11. 11:38cloud emulators
12. 14:07Live-reloading in Faas platforms DIY basic live-reloading
13. 15:21Automated, reproducible builds
14. 17:03Comprehensive testing in a serverless world
15. 18:52Operation Loop release.
16. 19:44Imperative configuration...
17. 20:36vs. declarative configuration
18. 21:24Examples of projects focusing on declarative configurations
19. 21:53Operation Loop deploy
20. 22:09Understanding the Faas deployment process
21. 27:08Canary Deployments (3)
22. 28:05Operation Loop operate, monitor
23. 28:18Monitoring, tracing, logging
24. 30:04Memory allocation is linked to CPU/O shares Average runtime calculating Fibonacci numbers 1 to 100
25. 30:53Never scaling down to zero
26. 31:48The language can impact performance • In theory, languages should perform similar • In practice, maturity of languages differs
27. 33:10Conclusion

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