Important: This documentation is about an older version. It's relevant only to the release noted, many of the features and functions have been updated or replaced. Please view the current version.


Deploy GEM on a Linux host

This guide provides a step by step process for installing Grafana Enterprise Metrics on a Linux machine. It assumes you have access to a Linux machine and the permissions required to deploy a service with network and filesystem access. At the end of this guide you will have deployed a single GEM instance on a single node.


In order to follow this guide you will the following:

  • A valid Grafana Labs license with an associated GEM cluster name.

Setup an object storage bucket

To begin, you need access to an object storage backend. GEM uses object storage as a backend to store time series data as well as data related to the state of the system. This topic assumes that you are using Amazon S3 on the AWS us-east-1 region. If you plan on using a different region or object storage service, update the storage fields in the configuration file to match below to configure your desired service. Currently, the supported services are object storage backends that support the S3 API or Google GCS.

After you have provisioned an object storage backend, be sure to pre-create two buckets: grafana-metrics-admin and grafana-metrics-tsdb. Those buckets will be referenced in the configuration file of this guide.

Prepare your system

Before running GEM, it is recommended you setup a system user and prepare the required directories on the filesystem. Run the following commands on every node as the root user. To login as the root user run:

sudo su -

Add dedicated user and group

groupadd --system ge-metrics
useradd --system --home-dir /var/lib/ge-metrics -g ge-metrics ge-metrics

Create directories and assign ownership

mkdir -p /etc/ge-metrics /var/lib/ge-metrics
chown ge-metrics:ge-metrics /etc/ge-metrics
chown ge-metrics:ge-metrics /var/lib/ge-metrics
chmod 0750 /etc/ge-metrics /var/lib/ge-metrics

Copy the license file

You will need to ensure you license token file is copied to the path /etc/ge-metrics/license.jwt.

Create a GEM configuration file

Copy the following YAML config to a file called /etc/ge-metrics/config.yaml.

  type: enterprise

target: all

  path: /etc/ge-metrics/license.jwt

    type: s3
      bucket_name: grafana-metrics-admin
      access_key_id: # TODO: insert access key id here
      secret_access_key: # TODO: insert secret access key here
    health_check_ingesters: true

  abort_if_cluster_join_fails: false
  bind_port: 7946

    num_tokens: 512
      store: inmemory
    replication_factor: 1

    dir: /tmp/mimir/tsdb
    sync_dir: /tmp/mimir/tsdb-sync
  backend: s3
    bucket_name: grafana-metrics-tsdb
    access_key_id: # TODO: insert access key id here
    secret_access_key: # TODO: insert secret access key here

  engine: blocks

Next you will need to update the config file and set the blocks_storage.s3 and sections to include access credentials for your object storage backend.

Download and configure the GEM binary

curl -Lo /usr/local/bin/ge-metrics
echo "c18de5eec921e44bb1aca3aa7f08054226639a846ebab02da9781fcf584e24b9 /usr/local/bin/ge-metrics" | sha256sum -c
chmod 0755 /usr/local/bin/ge-metrics
setcap 'cap_net_bind_service=+ep' /usr/local/bin/ge-metrics

Set up systemd unit

Copy the following file to the path /etc/systemd/system/ge-metrics.service:


ExecStart=/usr/local/bin/ge-metrics \


Enable startup at boot timeand start Grafana Enterprise Metrics

systemctl daemon-reload
systemctl enable ge-metrics.service
systemctl start ge-metrics.service

Generate an admin token

Generate an admin token by running the following on a single node in the cluster:

su ge-metrics -c "/usr/local/bin/ge-metrics \
--config.file=/etc/ge-metrics/config.yaml \

The output of the above command should contain a token:

Token created:  YWRtaW4tcG9saWN5LWJvb3RzdHJhcC10b2tlbjo8Ujc1IzQyfXBfMjd7fDIwMDRdYVxgeXw=

Verify your cluster is working

To verify your cluster is working you can run the following command using the token you generated in the previous step. For example:

curl -u :YWRtaW4tcG9saWN5LWJvb3RzdHJhcC10b2tlbjo8Ujc1IzQyfXBfMjd7fDIwMDRdYVxgeXw= localhost/ready

After running the above command you should see the following output:


Next steps

Now that you have a working GEM deployment locally, refer to setup up the Grafana Enterprise Metrics plugin for instructions on how to integrate your metrics cluster with Grafana and give you a UI to interact with the Admin API.