Prometheus Docker Discovery

Prometheus Docker Discovery is a service tailored to seamlessly export the Prometheus metrics for Docker containers and volumes. This enhances the monitoring and observability of your Dockerized applications, providing insights into resource utilization, container health, and other critical metrics.

Supported Metrics

This service currently supports a set of monitoring metrics:

• docker_container_memory_usage_bytes - Container memory usage, excluding caches
• docker_container_cpu_usage_percent - Container CPU usage percent, not divided by number of CPU cores
• docker_container_uptime_seconds - Container uptime
• docker_container_rootfs_size_bytes - Container rootfs size in bytes
• docker_container_disk_size_bytes - Container size on disk in bytes
• docker_container_mount_count - Number of container mounts
• docker_volume_size_bytes - Volume size

Container Metrics Registration via Labels

Effortlessly register container metrics by adding specific labels to the container. The following labels are essential:

• prometheus.job=<job-name>: Assign a job name for Prometheus to identify, collect and export metrics.
• Optionally, enhance metric granularity by incorporating additional labels through prometheus.labels.<label-name>=<label-value>.

Run Prometheus Docker Discovery

Supposing there are already some correctly labeled containers, you can initiate Prometheus Docker Discovery with the following command:

docker run -p 8000:8000 -v /var/run/docker.sock:/var/run/docker.sock iterait/prometheus-docker-discovery:master

Access the metrics endpoint at http://localhost:8000/metrics. Be patient, as the metrics might take a while to become available.

Example compose.yaml

Integrate Prometheus Docker Discovery seamlessly into your Docker-compose environment with this example configuration:

License

Prometheus Docker Discovery is released under the MIT License.

Collaboration

We welcome and encourage collaboration from the community. If you find Prometheus Docker Discovery useful or have ideas for improvement, please feel free to contribute to the project.

To get started, fork the repository, make your changes, and submit a pull request.