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What is mimir?

grafana/mimir — explained in plain English

Analysis updated 2026-06-26

5,107GoAudience · ops devopsComplexity · 4/5LicenseSetup · hard

In one sentence

A distributed, open source system for storing and querying massive amounts of monitoring metrics, handling up to a billion active series, using cheap object storage like S3 instead of local disk.

Mindmap

mindmap
  root((repo))
    What it does
      Store massive metrics
      Query with PromQL
      Extends Prometheus
    Scale
      Billion active series
      Multi-machine distributed
      Object storage backend
    Multi-tenancy
      Per-team isolation
      Single cluster
    Deployment
      Single binary mode
      Split components
      Pre-built dashboards
    Integrations
      Prometheus remote write
      Grafana visualization
      AGPL-3.0 license
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Code map

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filefunction / class

What do people build with it?

USE CASE 1

Scale beyond Prometheus's limits by storing a billion time series across multiple machines.

USE CASE 2

Query metrics from multiple Prometheus instances in one unified place using standard PromQL.

USE CASE 3

Store months or years of metrics cheaply using S3 instead of local disk.

USE CASE 4

Give different teams isolated metric namespaces on the same cluster using multi-tenancy.

What is it built with?

GoPrometheusGrafanaPromQLAmazon S3

How does it compare?

grafana/mimirgrafana/tempopomerium/pomerium
Stars5,1075,2844,798
LanguageGoGoGo
Setup difficultyhardmoderatehard
Complexity4/54/54/5
Audienceops devopsops devopsops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1h+

Single-binary mode works for testing with no external deps, production needs object storage, multi-component deployment, and Grafana to visualize.

Open source under AGPL-3.0, free to use and modify, but distributing it or running it as a hosted service requires sharing your changes under the same license.

So what is it?

Grafana Mimir is an open source system for storing and querying large amounts of metrics data over long periods of time. It is designed as an extension to Prometheus, a widely used tool for collecting and monitoring application and infrastructure metrics. While Prometheus works well on a single machine, it has limits on how much data it can hold and how many metrics it can track at once. Mimir removes those limits by running as a distributed system across multiple machines. The core benefits described in the README include the ability to handle up to one billion active time series at once, storage on low-cost object storage services like Amazon S3 or Google Cloud Storage, and the ability to query metrics from multiple Prometheus instances in one place. It also supports running multiple isolated tenants on the same cluster, which is useful for organizations where different teams or departments each need their own separate view of their data. Mimir is built to stay available even when individual machines fail. It replicates incoming data so nothing is lost during hardware problems, and it can be upgraded or restarted without any downtime. For getting started, Mimir can run as a single binary with no external dependencies, which simplifies initial setup. For larger production deployments, it can be split into separate components that scale independently. The project ships with pre-built monitoring dashboards and alerts to help operators keep an eye on the system itself. The project is maintained by Grafana Labs and is released under the AGPL-3.0 open source license.

Copy-paste prompts

Prompt 1
I am migrating from Prometheus to Grafana Mimir for long-term metrics storage. How do I configure Prometheus to remote-write data into Mimir?
Prompt 2
Write a PromQL query in Mimir to find which services had error rates above 1 percent in the last 24 hours.
Prompt 3
I want to run a single-binary Mimir instance for testing. Give me a minimal config file with local filesystem storage instead of S3.
Prompt 4
How do I set up multi-tenancy in Grafana Mimir so each team can only see and query their own metrics?
Prompt 5
My Mimir deployment handles too much write traffic on one machine. Walk me through splitting it into separate ingestor and querier components that scale independently.

Frequently asked questions

What is mimir?

A distributed, open source system for storing and querying massive amounts of monitoring metrics, handling up to a billion active series, using cheap object storage like S3 instead of local disk.

What language is mimir written in?

Mainly Go. The stack also includes Go, Prometheus, Grafana.

What license does mimir use?

Open source under AGPL-3.0, free to use and modify, but distributing it or running it as a hosted service requires sharing your changes under the same license.

How hard is mimir to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is mimir for?

Mainly ops devops.

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