Datadog is a cloud-based monitoring and observability platform that brings metrics, traces, logs, and synthetics together so teams can understand the health of distributed systems from a single place.
The site documents hundreds of integrations, agent setup, custom dashboards, distributed tracing, log pipelines, incident management, and alerting, along with security and CI visibility products.
It suits SRE, DevOps, and platform teams operating microservices and multi-cloud environments, and it helps correlate a latency spike with the exact deploy, host, or dependency that caused it.
Compared with self-hosted open-source stacks it reduces operational overhead, and compared with single-purpose monitoring tools it covers more signal types, though ingest volume and retention can drive cost.
Set tagging conventions early, configure retention and sampling deliberately, and review alert thresholds regularly to avoid noisy pages and unexpected bills as telemetry volume grows.