System load average graph, running and blocked by IO processes graph, interrupts graph.Server uptime, CPU idle percent, number of CPU cores, available memory, swap and storage.The Docker Host Dashboard shows key metrics for monitoring the resource usage of your server: Grafana is preconfigured with dashboards and Prometheus as the default data source: You can change the credentials in the compose file or by supplying the ADMIN_USER and ADMIN_PASSWORD environment variables on compose up. Navigate to and login with user admin password admin. Caddy (reverse proxy and basic auth provider for prometheus and alertmanager).cAdvisor (containers metrics collector).InstallĬlone dockprom repository on your Docker host, cd into dockprom directory and run compose up:ĪDMIN_USER =admin ADMIN_PASSWORD =admin docker-compose up -d If you’re looking for the Docker Swarm version see the swarmprom blog post. With dockprom you can, run with one command, the whole stack: Prometheus, Grafana, cAdvisor, You can use dockprom as a starting point in developing your own monitoring solution. If you want to try out the Prometheus stack, take a look at the dockprom repository on GitHub. Getting started with Prometheus and Docker NET, PHP and many more programming languages. There are Prometheus client libraries for Go, Java, Python, Ruby. Whitebox monitoring also has great coverage. The Prometheus ecosystem is huge meaning you can find metrics exporters for a wide range of systems: from databases, MQ, HTTP servers to hardware related systems like IoT or IPMI. Special-purpose exporters for services like HAProxy, MySQL, PostgreSQL, Memcached, Redis and many more.Flexible service discovery (built in support for Kubernetes, Consul, EC2, Azure).Scalable data collection that doesn’t rely on distributed storage.It’s built for distributed systems and infrastructure.The whole stack can be deployed using containers.Prometheus handles blackbox probing as well as whitebox metrics meaning you can probe your infrastructure and also monitor the internal state of your applications. The fact that you can use the same language for graphing and alerting makes the monitoring task a whole lot easier. The main reason for choosing Prometheus was the support for multi-dimensional metrics and the query language that’s easy to grasp. After trying out Elastic Beats, Graphite and Prometheus I’ve settled-on Prometheus. I’ve been looking for an open source self-hosted monitoring solution that can provide metrics storage, visualization and alerting for physical servers, virtual machines, containers and services that are running inside containers. on Prometheus Docker A monitoring solution for Docker hosts, containers and containerized services.
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