How Prometheus Stores Time Series Data

The Prometheus system stores time series data using a storage engine called “TSDB” (Time Series Database). TSDB is a specialized database system designed specifically for storing time series data, allowing for efficient processing of large amounts of data and providing fast querying and analysis capabilities.

In Prometheus, time series data is stored in the form of metrics, with each metric containing one or more time series. Each time series consists of a unique metric name and a set of labels. Labels can be used to categorize and filter time series for more efficient querying and data analysis.

Prometheus utilizes a data structure known as “Chunk” to store time series data. Chunks are a compact data representation that efficiently stores large amounts of time series data while also providing fast read and write performance.

In summary, the Prometheus system efficiently stores and queries time series data using TSDB storage engine and Chunk data structure to support the needs of monitoring and analytics applications.