Datadog is a cloud-scale observability and security service that brings infrastructure metrics, application traces, logs, security signals and user experience data into one place. Its product families cover infrastructure and container monitoring, application performance monitoring, log management, database and data monitoring, cloud security, and digital experience tools such as real user monitoring and session replay. Bits AI adds AI agents that chat, investigate and remediate issues. A free trial is available, and Datadog was named a Leader in the 2026 Gartner Magic Quadrant for Observability Platforms.
Site reliability engineers, DevOps teams and platform groups use Datadog to keep services healthy, while security engineers rely on its cloud SIEM, posture management and vulnerability tools. Developers use APM, error tracking and IDE plugins to trace slow requests, and engineering managers follow DORA metrics. Industry pages target financial services, healthcare, retail, government, gaming and other sectors, so it suits both startups with a single cloud account and large enterprises with hybrid estates.
Common workflows start with agents and integrations collecting data from AWS, Azure, Google Cloud, Oracle Cloud, Kubernetes and OpenShift. A team can build dashboards and alerts on custom metrics, correlate a latency spike with logs and traces, open an incident, and trigger workflow automation to remediate it. Others consolidate several monitoring products into Datadog, migrate to a new cloud with tracked KPIs, scan code and infrastructure as code for vulnerabilities, or use synthetic tests and mobile app testing to catch regressions before customers do. A Datadog MCP Server and CLI let teams pull telemetry into their own AI assistants and scripts.
