Container Monitoring

Datadog Container Monitoring provides real-time visibility into the health and performance of containerized environments. With curated metrics, teams can detect and investigate issues in every layer of their clusters. They can also correlate metrics, traces, logs, and network data to get a unified view into their container-based microservices.

Automatically discover new containers and services

Detect when containers are created and destroyed to ensure full coverage of your dynamic infrastructure
Automatically discover services running on containers—no matter where they spin up—and start ingesting their metrics, traces, and logs
Get a detailed, real-time overview of each container's health, resource consumption, and deployment status

Get end-to-end visibility across your containerized infrastructure

Surface critical information about every layer of your Kubernetes clusters with a multidimensional view of your workloads
Analyze the health of individual containers across pods, nodes, namespaces, and cloud providers
Seamlessly correlate metrics, logs, traces, and network data to troubleshoot performance issues quickly

Correlate metrics, traces and logs to troubleshoot quickly

Streamline the collection of cluster-level monitoring data

Use the Datadog Cluster Agent to collect cluster-level data while reducing load on the API server
Autoscale Kubernetes applications in response to real-time fluctuations in any metric's value
Run endpoint checks against external services, such as managed databases and network devices

Autoscale Kubernetes pods to match the desired number of replicas

Monitor serverless containers in any cloud

Leverage Datadog's turn-key integrations with AWS, Azure, and GCP to quickly start monitoring your serverless containers—no matter where they run
Isolate bottlenecks and troubleshoot performance problems with distributed tracing across any infrastructure component
Monitor important per-container metrics, such as resource usage and request and response error rates, on out-of-the-box dashboards for AWS Fargate and Google Cloud Run

The built-in dashboard for monitoring Fargate in Datadog shows graphs of memory, CPU, I/O, and network metrics.

Get notified about anomalous and suspicious activity

Create and manage a comprehensive suite of monitors as part of the deployment process for Kubernetes applications
Automatically detect anomalous events, outliers, and errors with Watchdog's machine learning-based insights
Identify threats in real time with out-of-the-box security rules that notify you of suspicious activity in your clusters