Metrics, logs, traces, profiles. One query.
The complete Grafana LGTM+ stack, production-hardened and managed.
Full-stack observability
Metrics, logs, traces, and profiles. All correlated. One query across all signals, no more switching between four different tools.
Zero-code auto-instrumentation
OTel SDK injection for Node.js, Java, Python, and .NET. Traces, metrics, and logs start flowing immediately, no code changes.
APM & RED metrics
Rate, errors, duration computed from 100% of transactions by Tempo's metrics-generator, before any sampling. Tail-sampling then keeps storage efficient without blind spots in your counts.
Real user monitoring
Grafana Faro collects browser telemetry — page loads, Core Web Vitals, JS errors, and user sessions — into the same stack as your backend traces. Frontend and backend on one timeline.
Built to survive a bad day
Loki ingesters run zone-aware across availability zones. Mimir ingest is Kafka-backed, so a restart doesn't drop your metrics. Bloom filters keep log queries fast as volume grows.
Multi-tenant architecture
One stack, N teams. Full data isolation, per-tenant retention and rate limits, and a dedicated Grafana per tenant with its own collectors. Built for MSPs and multi-BU enterprises.
Cross-signal correlation
Click a metric spike, see the logs. Click a trace, see the errors. Exemplars in charts link straight to specific traces.
100% Terraform / IaC
Every resource declarative. Reproducible, auditable, zero UI drift. Your runbook is your codebase.