Join us

ContentUpdates and recent posts about Grafana Mimir..
 Activity
kevin-faun
@kevin-faun started using tool BOOM , 5 days, 14 hours ago.
 Activity
goutham-annem
@goutham-annem started using tool vLLM , 5 days, 20 hours ago.
 Activity
goutham-annem
@goutham-annem started using tool Kubernetes , 5 days, 20 hours ago.
 Activity
goutham-annem
@goutham-annem started using tool Istio , 5 days, 20 hours ago.
 Activity
goutham-annem
@goutham-annem started using tool GPT-5.3-Codex , 5 days, 20 hours ago.
 Activity
goutham-annem
@goutham-annem started using tool Google Kubernetes Engine (GKE) , 5 days, 20 hours ago.
 Activity
goutham-annem
@goutham-annem started using tool Claude Code , 5 days, 20 hours ago.
 Activity
goutham-annem
@goutham-annem started using tool Azure Kubernetes Service (AKS) , 5 days, 20 hours ago.
 Activity
goutham-annem
@goutham-annem started using tool AWS EKS , 5 days, 20 hours ago.
 Activity
goutham-annem
@goutham-annem started using tool Amazon Web Services , 5 days, 20 hours ago.
Grafana Mimir is an open-source distributed time-series database developed by Grafana Labs, designed to store and query Prometheus metrics at massive scale. It provides a horizontally scalable, multi-tenant, and highly available backend that enables organizations to run Prometheus monitoring with virtually unlimited retention and capacity.

Mimir is built for modern observability stacks, offering features like query sharding, data compaction, object storage integration (S3, GCS, Azure Blob), and efficient deduplication for high cardinality workloads. It’s compatible with the Prometheus remote_write and remote_read APIs, making it easy to integrate into existing Prometheus ecosystems.

As part of the Grafana open observability suite, Mimir can be deployed independently or alongside Loki (for logs) and Tempo (for traces) to build a complete, scalable observability platform.