mirror of https://github.com/prometheus/prometheus
120 lines
3.2 KiB
Markdown
120 lines
3.2 KiB
Markdown
---
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title: Installation
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sort_rank: 2
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---
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# Installation
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## Using pre-compiled binaries
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We provide precompiled binaries for most official Prometheus components. Check
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out the [download section](https://prometheus.io/download) for a list of all
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available versions.
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## From source
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For building Prometheus components from source, see the `Makefile` targets in
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the respective repository.
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## Using Docker
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All Prometheus services are available as Docker images on
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[Quay.io](https://quay.io/repository/prometheus/prometheus) or
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[Docker Hub](https://hub.docker.com/r/prom/prometheus/).
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Running Prometheus on Docker is as simple as `docker run -p 9090:9090
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prom/prometheus`. This starts Prometheus with a sample
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configuration and exposes it on port 9090.
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The Prometheus image uses a volume to store the actual metrics. For
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production deployments it is highly recommended to use a
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[named volume](https://docs.docker.com/storage/volumes/)
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to ease managing the data on Prometheus upgrades.
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To provide your own configuration, there are several options. Here are
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two examples.
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### Volumes & bind-mount
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Bind-mount your `prometheus.yml` from the host by running:
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```bash
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docker run \
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-p 9090:9090 \
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-v /path/to/prometheus.yml:/etc/prometheus/prometheus.yml \
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prom/prometheus
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```
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Or bind-mount the directory containing `prometheus.yml` onto
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`/etc/prometheus` by running:
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```bash
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docker run \
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-p 9090:9090 \
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-v /path/to/config:/etc/prometheus \
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prom/prometheus
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```
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### Save your Prometheus data
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Prometheus data is stored in `/prometheus` dir inside the container, so the data is cleared every time the container gets restarted. To save your data, you need to set up persistent storage (or bind mounts) for your container.
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Run Prometheus container with persistent storage:
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```bash
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# Create persistent volume for your data
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docker volume create prometheus-data
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# Start Prometheus container
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docker run \
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-p 9090:9090 \
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-v /path/to/prometheus.yml:/etc/prometheus/prometheus.yml \
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-v prometheus-data:/prometheus \
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prom/prometheus
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```
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### Custom image
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To avoid managing a file on the host and bind-mount it, the
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configuration can be baked into the image. This works well if the
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configuration itself is rather static and the same across all
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environments.
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For this, create a new directory with a Prometheus configuration and a
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`Dockerfile` like this:
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```Dockerfile
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FROM prom/prometheus
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ADD prometheus.yml /etc/prometheus/
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```
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Now build and run it:
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```bash
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docker build -t my-prometheus .
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docker run -p 9090:9090 my-prometheus
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```
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A more advanced option is to render the configuration dynamically on start
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with some tooling or even have a daemon update it periodically.
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## Using configuration management systems
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If you prefer using configuration management systems you might be interested in
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the following third-party contributions:
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### Ansible
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* [prometheus-community/ansible](https://github.com/prometheus-community/ansible)
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### Chef
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* [rayrod2030/chef-prometheus](https://github.com/rayrod2030/chef-prometheus)
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### Puppet
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* [puppet/prometheus](https://forge.puppet.com/puppet/prometheus)
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### SaltStack
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* [saltstack-formulas/prometheus-formula](https://github.com/saltstack-formulas/prometheus-formula)
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