Keynote: The Evolution of Ops
summary
Chronicle of ops evolution from primordial scripting through devops (circa 2007/2012), MLOps (≈2015) and Kubernetes (≈2016) to a promised AI‑Ops future, backed by concrete signals: a Meta experiment feeding thousands of repo changes into an LLM yields 42% accuracy at root‑cause identification, useful wins in context gathering and alert triage, and demos like a MidJourney Triceratops image to illustrate hype versus reality; concludes that practical AI‑Ops remains limited.
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chapters (9)
- 0:00Introduction and Greetings
- 0:17Event Overview and Acknowledgements
- 0:56SRE Day Background and Expansion
- 2:37Future Plans and Upcoming Events
- 3:07Today's Schedule and Social Media
- 4:05Personal Story and Evolution of Ops
- 5:25The Journey Through DevOps and Beyond
- 6:43The Rise of AI and AIOps
- 8:53Current State and Future of AIOps
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