Datadog

Datadog is infrastructure monitoring software for DevOps and SRE teams watching cloud, container and on-premise hosts, with a free plan for small fleets.

Datadog puts every host, container and cloud service a platform team runs on one screen and flags the one that starts misbehaving. Datadog, Inc., a New York company traded on the NASDAQ as DDOG, builds and sells it with no parent above it. Datadog positions the wider platform as AI-powered observability and security; infrastructure monitoring is one line of that platform, and APM, log management and cloud security are sold beside it from the same pricing page. The Agent gathers host and container data from Linux, Windows, macOS and bare metal servers, and Autodiscovery detects containers as they start. The Host Map draws hosts as tiles coloured by a chosen metric and grouped by tags, and container views report CPU, memory and network use. The Kubernetes Explorer lists pods, nodes and deployments, with a link to a detailed dashboard. Custom dashboards use template variables to switch the hosts or environment in view, and anomaly monitors flag metrics that behave differently than they have in the past. Monitors send notifications to Slack, Microsoft Teams, PagerDuty, Jira and ServiceNow. Custom metrics arrive through DogStatsD or the HTTP API, the Agent scrapes Prometheus and OpenMetrics endpoints, and the AWS, Azure and Google Cloud integrations pull service metrics from each provider's monitoring API. The 1,000+ integrations come with out-of-the-box dashboards and monitors. Teams use Datadog to line up incidents against deployments with Change Tracking, which also records cloud resource changes in Preview. Serverless monitoring reports enhanced AWS Lambda metrics such as cold starts, timeouts and out-of-memory errors. Alerts reach on-call staff, chat channels and ticketing tools through the same monitors. Longer metric retention on the paid plans supports year-on-year comparisons of host behaviour. Datadog fits DevOps, SRE and platform teams that run a mix of cloud instances, containers and physical servers and want them in one view. It suits engineering groups that already send metrics from application code or Prometheus exporters, and AWS teams that want Lambda functions watched beside their hosts.