Datadog is a cloud monitoring and observability platform used by engineering teams running infrastructure at scale. It pulls metrics, logs, and traces into a single place, giving you a unified view of what's happening across your stack — servers, containers, databases, third-party services, and the application code itself.
Datadog's agent runs on your servers and containers and ships metrics back continuously. You get CPU, memory, disk, and network data out of the box, plus integrations for over 600 technologies. Dashboards are highly configurable, and alerting can be set on any metric with thresholds, anomaly detection, or forecast-based conditions.
The APM product adds request-level visibility. You can trace a single HTTP request across multiple services, identify where latency is being introduced, and drill down into the specific database query or external API call causing slowness. For distributed systems running microservices, this kind of end-to-end tracing is difficult to replicate without a dedicated tool.
Datadog ingests logs from any source and makes them searchable and filterable in real time. You can correlate logs with traces and metrics — if you see a spike in error rate on a dashboard, you can click through directly to the relevant logs for that time window. Log retention and indexing are configurable, which matters for cost control at high volumes.
Datadog has a free tier covering basic infrastructure monitoring for up to five hosts. Beyond that, pricing is per host per month and can escalate quickly depending on which products you use. It's worth planning your usage carefully before enabling everything.
Share your experience to help others decide.
© Dev tools 2026. All rights reserved