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Grafana Mimir is an open-source software designed for scalable long-term storage of Prometheus metrics. It offers massive scalability, allowing the processing of significantly more time series than a single Prometheus instance. The tool provides a global view of metrics by aggregating series from multiple Prometheus instances and offers highly parallelized query execution. It utilizes cost-effective object storage for durable long-term data storage and supports multiple object store implementations. With its multi-tenant architecture, Grafana Mimir facilitates data and query isolation among different teams, ensuring equitable capacity sharing
1. Grafana Mimir's architecture allows it to process significantly more time series data than a single Prometheus instance.
2. It aggregates series from multiple Prometheus instances, providing a comprehensive view of system metrics.
3. Grafana Mimir uses object storage for long-term data storage, compatible with multiple object store implementations.
4. It replicates incoming metrics and can be restarted, upgraded, or downgraded with zero downtime.
5. Grafana Mimir's multi-tenant architecture allows data and query isolation for different teams or business units within the same cluster.
1. Grafana Mimir's horizontally-scalable architecture allows it to handle a vast amount of time series data, making it suitable for large-scale deployments.
2. It uses object storage for long-term data storage, providing a cost-effective solution with high durability.
3.The multi-tenant architecture enables data and query isolation among different teams, which can share the same cluster, ensuring efficient resource utilization.
1. While Grafana Mimir provides extensive documentation, the setup and maintenance of the system might still be complex, especially for beginners or smaller teams with limited technical resources.
2. The use of object storage might be a disadvantage for organizations that do not have access to such storage solutions or prefer other types of storage systems.
3. For smaller scale deployments or simpler use cases, the extensive features and capabilities of Grafana Mimir may introduce unnecessary overhead and complexity.
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