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Grafana Mimir - Scalable, Highly Available, Multi-Tenant Long-Term Prometheus Storage
Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
Go
Added on 2025年6月12日4,517
Stars596
ForksGo
LanguageProject Introduction
Summary
Grafana Mimir is an open-source, horizontally scalable, highly available, multi-tenant, long-term storage system for Prometheus. It's designed to provide a robust backend for your metrics, allowing you to scale your monitoring infrastructure efficiently and reliably.
Problem Solved
Prometheus is excellent for real-time monitoring but faces challenges with long-term data retention, high availability, and scaling for very large environments or multi-tenant use cases. Grafana Mimir addresses these limitations.
Core Features
Horizontal Scalability
Scale your Prometheus monitoring data horizontally to handle massive ingest and query volumes.
High Availability
Ensure your metrics data is always available, even during outages or component failures.
Multi-Tenancy
Safely and securely store metrics from multiple independent teams or clients within a single Mimir cluster.
Long-Term Storage
Retain your valuable Prometheus metrics for months or years, far beyond the capabilities of standalone Prometheus.
Tech Stack
Go
gRPC
Protobuf
OpenTelemetry
Prometheus (remote write/read)
Object Storage (S3, GCS, Azure Blob, etc.)
Use Cases
Grafana Mimir is suitable for various scenarios where enhanced Prometheus capabilities are required:
Large-Scale Metrics Collection
Details
Companies with large fleets of servers or applications can use Mimir to ingest metrics from thousands or millions of active series without data loss or performance degradation.
User Value
Ensures reliable monitoring coverage across the entire infrastructure.
Offering Multi-Tenant Monitoring Services
Details
Managed service providers or internal platform teams can offer Prometheus-as-a-Service to different clients or departments, keeping their data separate and secure.
User Value
Provides strong isolation and efficient resource utilization for multiple users.
Long-Term Historical Data Retention
Details
Organizations needing to store metrics for compliance, historical analysis, or trend identification over extended periods (months or years).
User Value
Enables deep historical analysis, compliance reporting, and capacity planning based on long-term trends.
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