---
title: "Play with Mimir | Grafana Mimir documentation"
description: "Learn about Grafana Mimir, which provides distributed, horizontally scalable, and highly available long term storage for Prometheus."
---

> For a curated documentation index, see [llms.txt](/llms.txt). For the complete documentation index, see [llms-full.txt](/llms-full.txt).

# Play with Mimir

Grafana Mimir is a distributed, horizontally scalable, and highly available long term storage for [Prometheus](https://prometheus.io).

In this tutorial, you’ll:

- Run Grafana Mimir locally with Docker Compose
- Run Prometheus to scrape some metrics and remote write to Grafana Mimir
- Run Grafana to explore Grafana Mimir dashboards
- Configure a testing recording rule and alert in Grafana Mimir

> Note
> 
> This tutorial runs Grafana Mimir using classic architecture. For more information about the supported architectures in Grafana Mimir, refer to [Grafana Mimir architecture](/docs/mimir/next/get-started/about-grafana-mimir-architecture/).

## Prerequisites

- Git
- [Docker](https://docs.docker.com/) and [Docker Compose](https://docs.docker.com/compose/)
- Availability of both ports `9000` and `9009` on your host machine

> Tip
> 
> Alternatively, you can try out this example in our interactive learning environment: [Play with Mimir](https://killercoda.com/grafana-labs/course/mimir/play-with-mimir).
> 
> It’s a fully configured environment with all dependencies already installed.

## Download tutorial configuration

1. Create a copy of the Grafana Mimir repository using the Git command line:
   
   Bash ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy
   
   ```bash
   git clone https://github.com/grafana/mimir.git
   cd mimir
   ```
2. Navigate to the tutorial directory:
   
   Bash ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy
   
   ```bash
   cd docs/sources/mimir/get-started/play-with-grafana-mimir/
   ```

> Note
> 
> The instructions in this tutorial assume that your working directory is `docs/sources/mimir/get-started/play-with-grafana-mimir/`.

## Start Grafana Mimir and dependencies

Start running your local setup with the following Docker command:

Bash ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy

```bash
docker compose up -d
```

This command starts:

- Grafana Mimir
  
  - Three instances of monolithic-mode Mimir to provide high availability
  - Multi-tenancy enabled (tenant ID is `demo`)
- [Minio](https://min.io/)
  
  - S3-compatible persistent storage for blocks, rules, and alerts
- Prometheus
  
  - Scrapes Grafana Mimir metrics, then writes them back to Grafana Mimir to ensure availability of ingested metrics
- Grafana
  
  - Includes a preinstalled datasource to query Grafana Mimir
  - Includes preinstalled dashboards for monitoring Grafana Mimir
- Load balancer
  
  - A simple NGINX-based load balancer that exposes Grafana Mimir endpoints on the host

The diagram below illustrates the relationship between these components: 

The following ports will be exposed on the host:

- Grafana on [`http://localhost:9000`](http://localhost:9000)
- Grafana Mimir on [`http://localhost:9009`](http://localhost:9009)

To learn more about the Grafana Mimir configuration, you can review the configuration file `config/mimir.yaml`.

## Explore Grafana Mimir dashboards

Open Grafana on your local host [`http://localhost:9000`](http://localhost:9000) and view dashboards showing the status and health of your Grafana Mimir cluster. The dashboards query Grafana Mimir for the metrics they display.

To start, we recommend looking at these dashboards:

- [Writes](http://localhost:9000/d/8280707b8f16e7b87b840fc1cc92d4c5/mimir-writes)
- [Reads](http://localhost:9000/d/e327503188913dc38ad571c647eef643/mimir-reads)
- [Queries](http://localhost:9000/d/b3abe8d5c040395cc36615cb4334c92d/mimir-queries)
- [Object Store](http://localhost:9000/d/e1324ee2a434f4158c00a9ee279d3292/mimir-object-store)

A couple of caveats:

- It typically takes a few minutes after Grafana Mimir starts to display meaningful metrics in the dashboards.
- Because this tutorial runs Grafana Mimir without any query-scheduler, or memcached, the related panels are expected to be empty.

The dashboards installed in the Grafana are taken from the Grafana Mimir mixin which packages up Grafana Labs’ best practice dashboards, recording rules, and alerts for monitoring Grafana Mimir. To learn more about the mixin, check out the Grafana Mimir mixin documentation. To learn more about how Grafana is connecting to Grafana Mimir, review the [Mimir datasource](http://localhost:9000/datasources).

## Configure your first recording rule

Recording rules allow you to precompute frequently needed or computationally expensive expressions and save their result as a new set of time series. In this section you’re going to configure a recording rule in Grafana Mimir using tooling offered by Grafana.

1. Open [Grafana Alerting](http://localhost:9000/alerting/list).
2. Click **New recording rule**, which also allows you to configure recording rules.
3. Configure the recording rule:
   
   1. Give the rule a name, such as `sum:up`.
   2. Choose **Mimir** in the **Select data source** field.
   3. Choose **Code** in the **Builder | Code** field on the right.
   4. Type `sum(up)` in the **Metrics browser** query field.
   5. Type `example-namespace` in the **Namespace** field.
   6. Type `example-group` in the **Group** field.
   7. From the upper-right corner, click the **Save and exit** button.

Your `sum:up` recording rule will show the number of Mimir instances that are `up`, meaning reachable to be scraped. The rule is now being created in Grafana Mimir ruler and will be soon available for querying:

1. Open [Grafana Explore](http://localhost:9000/explore?orgId=1&left=%7B%22datasource%22%3A%22Mimir%22%2C%22queries%22%3A%5B%7B%22refId%22%3A%22A%22%2C%22instant%22%3Atrue%2C%22range%22%3Atrue%2C%22exemplar%22%3Atrue%2C%22expr%22%3A%22sum%3Aup%22%7D%5D%2C%22range%22%3A%7B%22from%22%3A%22now-1h%22%2C%22to%22%3A%22now%22%7D%7D) and query the resulting series from the recording rule, which may require up to one minute to display after configuration:
   
   ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy
   
   ```none
   sum:up
   ```
2. Confirm the query returns a value of `3` which is the number of Mimir instances currently running in your local setup.

## Configure your first alert rule

Alerting rules allow you to define alert conditions based on PromQL expressions and to send notifications about firing alerts to Grafana Mimir Alertmanager. In this section you’re going to configure an alerting rule in Grafana Mimir using tooling offered by Grafana.

1. Open [Grafana Alerting](http://localhost:9000/alerting/list).
2. Click **New alert rule**.
3. Configure the alert rule:
   
   1. Type `MimirNotRunning` in the **Rule name** field.
   2. Choose **Mimir** in the **Select data source** field.
   3. Type `count(up == 0)` in the **Metrics browser** query field. This currently shows `no data` since all instances are running.
4. Scroll down to **Set evaluation behavior**:
   
   1. Select `New folder` and type `example-folder` in the **Folder name** field.
   2. Select `New evaluation group` and type `example-group` in the **Group name** field. Set the evaluation interval to `30s`.
5. Scroll down to **Configure labels and notifications**:
   
   1. Select the `Contract point` dropdown and choose `grafana-default-email`.
6. Click the **Save rule and exit** button.

Your `MimirNotRunning` alert rule is now being created in Grafana Mimir ruler and is expected to fire when the number of Grafana Mimir instances is less than three. You can check its status by opening the [Grafana Alerting](http://localhost:9000/alerting/list) page and expanding the “example-namespace > example-group” row. The status should be “Normal” since all three instances are currently running.

To see the alert firing we can introduce an outage in the Grafana Mimir cluster:

1. Abruptly terminate one of the three Grafana Mimir instances:
   
   Bash ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy
   
   ```bash
   docker compose kill mimir-3
   ```
2. Open [Grafana Alerting](http://localhost:9000/alerting/list) and check out the state of the alert `MimirNotRunning`, which should switch to “Pending” state in about one minute and to “Firing” state after another minute. *Note: since we abruptly terminated a Mimir instance, Grafana Alerting UI may temporarily show an error when querying rules: the error will auto resolve shortly, as soon as Grafana Mimir internal health checking detects the terminated instance as unhealthy.*

Grafana Mimir Alertmanager has not been configured yet to notify alerts through a notification channel. To configure the Alertmanager you can open the [Contact points](http://localhost:9000/alerting/notifications) page in Grafana and set your preferred notification channel. Note the email receiver doesn’t work in this example because there’s no SMTP server running.

Before adding back our terminated Mimir instance to resolve the alert, go into the Grafana Explore page and query your `sum:up` recording rule. You should see that value of `sum:up` should have dropped to `2`, now that one instance is down. You’ll also notice that querying for this rule and all other metrics continues to work even though one instance is down. This demonstrates that highly available Grafana Mimir setups like the three instance deployment in this demo are resilient to outages of individual nodes.

To resolve the alert and recover from the outage, restart the Grafana Mimir instance that was abruptly terminated:

1. Start the Grafana Mimir instances:
   
   Bash ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy
   
   ```bash
   docker-compose start mimir-3
   ```
2. Open [Grafana Alerting](http://localhost:9000/alerting/list) and check out the state of the alert `MimirNotRunning`, which should switch to “Normal” state in about 30 seconds.

## Summary

In this tutorial you started Grafana Mimir locally in a high-available setup as well as a Prometheus instance that remote wrote some metrics to Grafana Mimir. You then queried those metrics stored in Mimir using Grafana, and visualized them in some Grafana dashboards. Lastly, you configured a recording rule and an alert via the Grafana Alerting UI and verified that the alert fired as expected when the condition was met.

Once you’ve completed the tutorial, release all Docker resources by running this Docker command:

Bash ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy

```bash
docker-compose down -v
```