mimir

Deploy and configure scalable multi-tenant Prometheus metric storage with Grafana Mimir.

7|1|Updated Jul 12, 2026

Search Tags:#multi-tenant #kubernetes #helm #prometheus #mimir #tsdb

Ready to run

npx skills add https://github.com/julianobarbosa/claude-code-skills --skill mimir

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill explains Grafana Mimir - a horizontally scalable, multi-tenant TSDB for long-term Prometheus metrics storage, enabling durable, scalable metrics architecture.

Core Features & Use Cases

Long-term storage: Implement multi-tenant metric storage with PromQL compatibility.
Object storage backends: Azure/S3/GCS support with Helm-driven deployments.
Performance & scaling patterns: Multi-store architecture with store-gateways and compactor strategies.

Quick Start

Deploy a distributed Mimir setup with a common object store, then validate PromQL queries against recent data.

Frequently Asked Questions about mimir

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

FAQPage Schema

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

Long-term storage for Prometheus metrics uses a dedicated TSDB like Grafana Mimir to retain historical data beyond default retention windows. Mimir provides multi-tenant, horizontally scalable storage with object backends (S3, GCS, Azure) and PromQL compatibility, enabling durable metrics architecture with Helm-based Kubernetes deployment.

Can I use Prometheus with object storage like S3 or GCS?▼

Prometheus itself does not natively support object storage, but Grafana Mimir extends Prometheus compatibility by ingesting metrics and storing them durably in S3, GCS, or Azure object backends. This separation enables scalability and multi-tenancy while maintaining PromQL query support.

What's the best way to scale Prometheus metrics storage across multiple Kubernetes clusters?▼

Grafana Mimir provides horizontally scalable, multi-tenant metrics storage on Kubernetes via distributed components (Distributor, Ingester, Querier, Store-Gateway, Compactor) deployed with Helm. A shared object backend stores metrics, enabling seamless scaling and tenant isolation using X-Scope-OrgID headers.

How do I troubleshoot Mimir authentication and configuration in Kubernetes?▼

Mimir deployment on Kubernetes requires configuring object-storage backend credentials, tenant authentication via X-Scope-OrgID headers, and distributed component communication. Troubleshooting covers Helm chart configuration, storage access validation, and performance tuning of ingestion and query paths.

Does Grafana Mimir support multi-tenant metric isolation?▼

Grafana Mimir provides default multi-tenant isolation through X-Scope-OrgID headers, allowing separate metric namespaces per tenant with independent retention and query access. This design ensures tenant data remains isolated across distributed ingestion, storage, and query components.

What are the performance trade-offs when using object storage for metrics?▼

Object storage provides durability and cost efficiency but introduces latency in query paths. Mimir mitigates this through store-gateway caching, compactor strategies for data organization, and tiered storage patterns, balancing cost, query latency, and retention scale.