Full-stack observability platform powered by Watchdog anomaly detection and Bits AI autonomous SRE. Continuously baselines metrics across hosts, containers, and traces to eliminate static thresholds and surface root causes. Bits AI handles incident investigation autonomously — correlating signals, querying logs, and proposing remediations without requiring manual runbook execution.
| Tier | Price | Includes |
|---|---|---|
Free | Free | 5 hosts, 1-day metric retention, core infrastructure monitoring |
Enterprise | $23/seat/mo | — |
Pro | $15/seat/mo | — |
The SaaS observability default for organizations that have outgrown a self-hosted Prometheus/Grafana stack and are willing to trade infrastructure cost for engineering velocity. Metrics, distributed traces, structured logs, RUM, synthetics, profiling, and a growing security suite all run under a single agent and a single tagging model. The reason teams pick it over assembling open-source equivalents is consistency: a tag set once on a host propagates to every signal that host emits, so you can pivot from a CPU spike to the offending span to the log line in three clicks without writing any glue.
The AI surface — Watchdog for statistical anomaly detection, Bits AI for autonomous incident triage — is where Datadog is leaning hardest in 2026. Bits AI sits on top of the entire telemetry graph, which is a structural advantage over bolt-on AIOps vendors that have to ingest signals secondhand.
High fit for SREs and Platform Engineers running multi-cloud or Kubernetes-heavy environments where cross-layer signal correlation actually matters. Watch out for custom metrics and indexed log volume, which will eat your budget without strict governance, and for per-host pricing that punishes the dense Kubernetes nodes you spent a year bin-packing.
