Prometheus collects and stores its metrics as time series data, i.e. metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels.

Designed for the cloud native world, Prometheus integrates with Kubernetes and other cloud and container managers to continuously discover and monitor your services.

Prometheus collects metrics from targetsby scraping metrics HTTP endpoints. Since Prometheus exposes data in the same manner about itself, it can also scrape and monitor its own health. …

Introduction Prometheus supports multiple formats for scraping metrics, including both text-based and binary protobuf formats. Based on the value of the Accept header, the target will pick the …

Downloads for the latest releases of the Prometheus monitoring system and its major ecosystem components.

A central part of Prometheus' design is its text metric exposition format, called the Prometheus exposition format 0.0.4, stable since 2014. In this format, special care has been taken to make …

Prometheus's expression browser until the result set seems reasonable (hundreds, not thousands, of time series at most). Only when you have filtered or aggregated your data …

Prometheus data is stored in /prometheusdir inside the container, so the data is cleared every time the container gets restarted. To save your data, you need to set up persistent storage (or …

In this guide, you installed Prometheus, configured a Prometheus instance to monitor resources, and learned some basics of working with time series data in Prometheus' expression browser.

Query log TLS encryption Tutorials Getting started with Prometheus Understanding metric types Instrumenting HTTP server written in Go Visualizing metrics using Grafana