Post by Grafana Labs

🧠 Grafana Assistant doesn't wait for you to share context. It studies your environment ahead of time: Data sources, services, dependencies, log formats, metric names. It builds a persistent knowledge base before you ask a single question. So when you ask why your checkout service is slow, it already knows that your payment system talks to three downstream services, that latency metrics live in a specific Prometheus data source, and that logs are structured JSON in Loki. Here's how it works under the hood: ∙ A swarm of AI agents discovers all connected Prometheus, Loki, and Tempo data sources in your Grafana Cloud stack ∙ Agents scan metrics in parallel to find services, deployments, and infrastructure components ∙ Loki and Tempo data gets correlated with metrics — adding context about log formats, trace structures, and service dependencies ∙ For each service group, agents produce documentation covering five areas: what it is, its key metrics and labels, how it's deployed, what it depends on, and how its logs are structured All of it stored in a vector database. Retrieved in milliseconds via semantic search. Refreshed automatically every week. This matters most when an incident hits and speed is everything — but also for developers who've never looked at an upstream service in their life and need accurate answers fast. Full write-up: https://lnkd.in/gNHys875