mimir

Configure Mimir for durable long-term storage of Prometheus metrics.

213|18|Updated Mar 17, 2026

Search Tags:#scalability #multi-tenant #prometheus #promql #mimir #metrics-storage #remote-write

Ready to run

npx skills add https://github.com/grafana/skills --skill mimir-grafana

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mimir
Source: https://github.com/grafana/skills/tree/main/skills/grafana-lgtm/mimir
Command: npx skills add https://github.com/grafana/skills --skill mimir-grafana

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Solves the challenge of durable, scalable long-term storage for Prometheus metrics to support retention at scale and reliable querying across large environments.

Core Features & Use Cases

Horizontal scalability and multi-tenancy for Prometheus metrics.
Deployment modes (monolithic and microservices) with flexible configuration.
Remote write support and PromQL querying for durable storage and fast analytics.
Use Case: manage multi-tenant Prometheus deployments requiring durable storage, cross-tenant isolation, and efficient querying.

Quick Start

Start a Mimir cluster in monolithic or microservices mode and begin sending Prometheus metrics via remote_write.

Frequently Asked Questions about mimir

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I set up durable long-term storage for Prometheus metrics?▼

Durable long-term storage for Prometheus metrics is achieved by deploying Mimir in monolithic or microservices mode and configuring Prometheus remote_write to send metrics to the cluster for scalable retention.

Can I run a multi-tenant Prometheus metrics deployment with cross-tenant isolation?▼

Multi-tenant Prometheus deployments with cross-tenant isolation are supported natively, allowing multiple tenants to use the same scalable metrics storage cluster while keeping data securely separated.

How does horizontal scalability work for Prometheus remote_write ingestion?▼

Horizontal scalability for Prometheus remote_write ingestion is handled by distributing incoming metrics across multiple architecture components like distributors and ingesters, ensuring reliable ingestion at scale.

What is the best way to query large-scale Prometheus metrics stored in durable storage?▼

Querying large-scale Prometheus metrics stored durably is done using PromQL, which routes queries through dedicated queriers and store-gateways to retrieve data efficiently across large environments.

Does Mimir support both monolithic and microservices deployment modes?▼

Both monolithic and microservices deployment modes are supported, providing flexible configuration options for managing architecture components like ingesters, compactors, and rulers based on your scalability needs.

What architecture components are needed for scalable Prometheus metrics storage?▼

Scalable Prometheus metrics storage requires deploying architecture components including distributors, ingesters, compactors, queriers, store-gateways, and rulers to handle ingestion, querying, and retention.