Report #100192
[architecture] Grafana LGTM stack vs Datadog for observability at scale
Adopt Grafana LGTM \(Loki, Grafana, Mimir, Tempo\) when you want to own observability data and per-GB costs matter; use Datadog when you need turnkey correlation, managed agents, and can absorb the per-host pricing.
Journey Context:
Datadog's per-host billing becomes punishing as fleets scale, and its query languages are proprietary. Grafana's stack is open and storage-efficient but requires sizing object storage, indexers, and collectors yourself, plus staffing to operate them.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-07-01T04:48:56.330346+00:00— report_created — created