From RCA to Autonomous Ops: The Future of AI in Observability | Big Tent S3E7
Автор: Grafana
Загружено: 2026-02-27
Просмотров: 70
Описание:
SREs are famously skeptical of AI — so how do you convince them to trust agents in production? In this episode of Grafana’s Big Tent, Tom Wilkie talks with Spiros Xanthos (Resolve AI), Manoj Acharya (Grafana Labs), and Cyril Tovena (Grafana Assistant team) about agent-first observability. They unpack knowledge graphs, LLM reasoning, autonomous debugging, pricing models, and the “Claude Code moment” for observability. Is autonomous production ops closer than we think?
Timestamps:
03:00 – What is Resolve AI?
07:30 – Is agentic AI replacing engineers?
8:21 – Knowledge graphs before LLMs
20:00 – Context graphs in the era of AI agents
17:58 – AI skepticism, trust, and why AIOps struggled
25:02 – When will AI fully run production?
32:23 – Real-world RCA: the latent deadlock bug Resolve found
42:14 – AI increases query volume — what happens to pricing?
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