The Evolution of Ops
summary
Timeline of ops evolution claims that cloud native tooling explodes cognitive load with about 97 tools quoted to manage hundreds of microservices and that running Kubernetes since v1.2 leads to painful engineering tradeoffs while operating a homemade Kubernetes-as-a-service. A survey-style ML experiment is cited that narrows inputs before feeding an LLM and achieves only 42% accuracy at root cause ID. Many industry demos exist but no production-proven AIops solution yet.
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chapters (9)
- 0:00Introduction and Bait and Switch
- 0:16Steve Ballmer Inspiration
- 0:45From Memes to Dinosaurs
- 1:48Evolution of DevOps
- 2:39The Rise of Kubernetes
- 4:02Understanding AIOps
- 8:13SRE Day and Personal Background
- 10:32Upcoming SRE Events
- 12:05Acknowledgements and Conclusion
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