Grafana Mimir is an open-source, horizontally scalable, highly available long-term storage system for Prometheus metrics, created by Grafana Labs. It is the successor to Cortex and handles billions of active time series across thousands of tenants. Mimir provides Prometheus-compatible write and query APIs, making it a seamless backend for existing Prometheus and Grafana deployments without requiring any migration effort.
Why Mimir Matters
As organizations scale their monitoring infrastructure, they need a metrics backend that handles millions or billions of time series without degrading performance. Mimir was built for this scale, offering multi-tenancy, global query capabilities, and cost-efficient object storage. It replaces the need to run dozens of independent Prometheus instances and provides a centralized metrics platform.
Teams that understand and adopt grafana mimir gain a significant operational advantage, reducing manual effort and improving the reliability and scalability of their infrastructure. As cloud-native adoption accelerates, familiarity with grafana mimir has become a core competency for DevOps engineers, platform teams, and site reliability engineers working in production Kubernetes and cloud environments.
How Mimir Works
Mimir accepts metrics from Prometheus instances using the remote write protocol. Incoming data is distributed across ingesters that temporarily hold recent data in memory and on disk. After a configurable period, data is flushed to long-term object storage in an optimized format. The query frontend handles incoming queries, splitting them into smaller sub-queries executed in parallel across queriers for fast response times.
Understanding how grafana mimir fits into the broader cloud-native ecosystem is important for making informed architecture decisions. It works alongside other tools and practices in the DevOps and platform engineering space, and choosing the right combination depends on your team’s specific requirements, scale, and operational maturity.
Key Features
Horizontal Scalability
Scale to billions of time series by adding more ingesters, queriers, and store-gateway instances.
Multi-Tenancy
Isolate data from different teams or environments with built-in tenant-level access control and resource limits.
Prometheus Compatibility
Uses standard Prometheus remote write and PromQL, requiring no changes to existing setups.
Object Storage Backend
Stores all metric data in object storage like S3, GCS, or Azure Blob for cost-efficient, durable retention.
Common Use Cases
Centralizing metrics from hundreds of Prometheus instances into a single, queryable long-term storage backend.
Providing multi-tenant metrics isolation for different teams sharing the same monitoring infrastructure.
Retaining high-resolution metrics for months or years in object storage at a fraction of local disk costs.
Replacing Cortex or Thanos with a simpler, more performant long-term metrics storage solution.
How Obsium Helps
Obsium’s managed observability team helps organizations implement and optimize grafana mimir as part of production-grade infrastructure. Whether you are adopting grafana mimir for the first time or looking to improve an existing implementation, our engineers bring hands-on experience across cloud platforms and Kubernetes environments. Learn more about our managed observability services →
Frequently Asked Questions
What is Grafana Mimir?
Grafana Mimir is an open-source, horizontally scalable, highly available long-term storage system for Prometheus metrics, created by Grafana Labs. It is the successor to Cortex and handles billions of active time series across thousands of tenants.
How does Grafana Mimir work?
Grafana Mimir works by combining the components described in the sections above. The main page walks through the architecture, the typical use cases, and the trade-offs to weigh before adopting it.
Why does Grafana Mimir matter?
Teams adopt Grafana Mimir to ship faster, run more reliably, and reduce the cognitive load on engineers. The benefits, limits, and adjacent tools are covered in the body above.
When should you use Grafana Mimir?
Use Grafana Mimir when the problems it solves match what your team is hitting today. The page above outlines the signals that mean you should adopt it now, and the cases where a simpler approach is fine.
