Prometheus Metric Data Storage Explained

The Prometheus system utilizes its own time series database to store metric data. This database has efficient storage and retrieval capabilities, maintaining indexes of metric data in memory for quick data retrieval.

The Prometheus system also offers support for persistent storage, allowing metric data to be written to local disk or remote storage systems for long-term storage and backup purposes.

Prometheus system offers the PromQL query language for users to retrieve and analyze stored metric data. With PromQL, users can query data based on time range, tags, metric names, and perform aggregation, filtering, and calculations.

In general, the Prometheus system efficiently stores and retrieves metric data using its own time series database and the PromQL query language. Users can also configure persistent storage to achieve long-term storage and backup of metric data. These features make Prometheus a powerful monitoring and alert system.