Feb 27
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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? Links/resources: Learn more about Grafana's Big Tent: https://bigtent.fm/ Get started with the Grafana Cloud forever-free tier: https://grafana.com/g/cloud Have a question? Ask Grot, your AI helper: https://grafana.com/grot/ Reach out in our community forums: https://gra.fan/communityyf --- Thanks for watching! 👍 Was this video helpful? Like and subscribe to our channel for more videos. Connect with Grafana Labs: X: (https://www.twitter.com/grafana) LinkedIn: (https://www.linkedin.com/company/grafana-labs/) Facebook: (https://www.facebook.com/grafana) #Grafana #Observability