What problem it solves

Teams operating Prometheus need a way to retain metrics over the long term while supporting horizontal scaling, availability, and centralized access to metrics from multiple instances. They also need to isolate data and queries for independent teams or business units while sharing the same deployment.

Key features

• Scalable long-term metric storage — Grafana Mimir provides long-term storage for Prometheus metrics through a horizontally scalable architecture. It can run across multiple machines and supports object storage for durable data retention.

  Source: README

• Global Prometheus queries — Grafana Mimir can query and aggregate series from multiple Prometheus instances, providing a global view of systems. Its query engine parallelizes query execution.

  Source: README

• High availability — Incoming metrics are replicated to reduce the risk of data loss during machine failures. The horizontally scalable architecture supports restarting, upgrading, or downgrading without interrupting metric ingestion or querying.

  Source: README

• Native multi-tenancy — Independent teams or business units can share one cluster while keeping their data and queries isolated. Advanced limits and quality-of-service controls help share capacity fairly among tenants.

  Source: README

• Flexible deployment and monitoring — The project provides documentation, tutorials, deployment tooling, and packaged dashboards, alerts, and runbooks for operating the system. Its monolithic mode can run with one binary and no additional dependencies.

  Source: README

Who it may suit

This may suit teams that need long-term Prometheus metric storage, centralized querying across Prometheus instances, or a shared multi-tenant metrics platform. It may also suit operators looking for deployment tooling, monitoring resources, and high-availability architecture.

Topics to discuss

• What deployment patterns should the community prioritize for different Prometheus environments?

• How should multi-tenant limits and quality-of-service controls be configured for shared deployments?

• Which object storage backends and operational workflows are the most important to support in future releases?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/grafana/mimir#readme

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