Where are we going with observability?
summary
Argues that generative AI already augments observability by turning plain-English prompts into actionable queries and runbooks, demonstrates RAG with private data to reduce hallucinations, shows an Elastic AI assistant that inspects dashboards, writes runbooks and drills into traces, and a true automatic import from S3 that detects log-producing entities and key fields to auto-configure ingestion. Claims AI finds root causes from cheap logs, links traces, prompts, and tickets, and gives examples where models both hallucinate and improve with context.
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chapters (5)
- 0:00Observability and AI intro
- 7:17What generative AI is
- 14:23Observability meets generative AI
- 25:19AI observability tools
- 27:03Future of AI in observability
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