Pastries with SREs: From AIOps to GenAI and LLMs (lactose-free latte making)
In this episode of Pastries with SREs, we look at AIOps, where it fell short, where it worked, and how generative AI (GenAI) is reshaping what’s possible in observability today.
We explore:
- What AIOps promised and where it missed the mark
- How GenAI and LLMs are helping teams go beyond the buzz to reduce toil and accelerate root cause analysis
- The most valuable GenAI use cases in observability right now
- Why retrieval augmented generation (RAG) can be a game-changer
If you’re wondering whether generative AI is different this time, this episode offers a grounded, practical look at how it’s evolving observability workflows.
00:00 – Soy milk, hype cycles, and the rise of AIOps
00:35 – Why AIOps overpromised and underdelivered
01:20 – The new GenAI wave: Real capabilities and pitfalls
02:10 – How GenAI speeds up RCA and reporting
02:55 – Industrialization analogy: AI won’t replace people, but it will change work
03:25 – How GenAI transforms SRE roles and workflows
03:50 – RAG + company data = the new SRE advantage
Additional resources:
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About Elastic
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
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