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Ceph Exporter GoDoc build tests Go Report Card

A Prometheus exporter that scrapes meta information about a running Ceph cluster. All the information gathered from the cluster is done by interacting with the monitors using an appropriate wrapper over rados_mon_command(). Hence, no additional setup is necessary other than having a working Ceph cluster.


You should ideally run this exporter from the client that can talk to the Ceph cluster. Like any other Ceph client, it needs the following files to run correctly.

  • ceph.conf containing your Ceph configuration.
  • ceph.<user>.keyring in order to authenticate to your Ceph cluster.

The ceph_exporter will automatically pick those up if they are present in any of the default locations. Otherwise you will need to provide the configuration manually using environment variables:

  • CEPH_CLUSTER: cluster's name (default ceph)
  • CEPH_CONFIG: configuration file that a Ceph client uses to connect to the cluster (default /etc/ceph/ceph.conf)
  • CEPH_USER: a Ceph client user used to connect to the cluster (default admin)

We use Ceph's official Golang client to run commands on the cluster.

This ceph_exporter branch currently supports the Nautilus, Octopus (untested), and Pacific releases. It might not work as expected with older or non-LTS versions of Ceph.

Environment Variables

Name Description Default
TELEMETRY_ADDR Host:Port for ceph_exporter's metrics endpoint *:9128
TELEMETRY_PATH URL Path for surfacing metrics to Prometheus /metrics
EXPORTER_CONFIG Path to ceph_exporter configuration file /etc/ceph/exporter.yml
RGW_MODE Enable collection of stats from RGW (0:disabled 1:enabled 2:background) 0
CEPH_CLUSTER Ceph cluster name ceph
CEPH_CONFIG Path to Ceph configuration file /etc/ceph/ceph.conf
CEPH_USER Ceph user to connect to cluster admin
CEPH_RADOS_OP_TIMEOUT Ceph rados_osd_op_timeout and rados_mon_op_timeout used to contact cluster (0s means no limit) 30s
LOG_LEVEL Logging level. One of: [trace, debug, info, warn, error, fatal, panic] info
TLS_CERT_FILE_PATH Path to the x509 certificate file for enabling TLS (the key file path must also be specified)
TLS_KEY_FILE_PATH Path to the x509 key file for enabling TLS (the cert file path must also be specified)


The typical Go way of installing or building should work provided you have the cgo dependencies.

$ go install -tags nautilus
$ go build -o ceph_exporter -tags nautilus

We build the client with support for nautilus specifically but the binary will work for Octopus and Pacific as well.

Docker Image

Docker Hub

The official docker image is available at digitalocean/ceph_exporter.

Build From Source

It is also possible to build your own locally from the source. The port 9128 is exposed as a default port for ceph_exporter.

The exporter needs your Ceph configuration in order to establish communication with the Ceph monitors. You can either pass it in as an additional command or mount the directory containing both your ceph.conf and your user's keyring under the default /etc/ceph location that Ceph checks for.

A sample build command would look like:

$ docker build -t digitalocean/ceph_exporter .

A --build-args TEST=true flag can be added to the build command above to also run Golang's unit tests during build:

docker build -t digitalocean/ceph_exporter . --build-arg TEST=true --no-cache

You can start running your ceph_exporter container now.

$ docker run -v /etc/ceph:/etc/ceph -p=9128:9128 -it digitalocean/ceph_exporter

You would have to ensure your image can talk over to the monitors. If it needs access to your host's network stack you might need to add --net=host to the above command. It makes the port mapping redundant so the -p flag can be removed.

Point your Prometheus to scrape from :9128 on your host now (or your port of choice if you decide to change it).


Please refer to the CONTRIBUTING guide for more information on how to submit your changes to this repository.

Sample view

See ./examples for a docker-compose file with Grafana if you'd like to quickly get a test environment up and running.

Link to official documentation explaining docker-compose:

The docker-compose file itself has comments on how to change it to adapt to your environment. It does use volumes in order to persist data. Docker volumes documentation:

If you have promdash set up you can generate views like:

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