Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud . Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community.
Designed for the cloud native world, Prometheus integrates with Kubernetes and other cloud and container managers to continuously discover and monitor your services.
Prometheus is an open-source systems monitoring and alerting toolkit with an active ecosystem. It is the only system directly supported by Kubernetes and the de facto standard across the cloud native ecosystem .
Prometheus collects metrics from targets by scraping metrics HTTP endpoints. Since Prometheus exposes data in the same manner about itself, it can also scrape and monitor its own health.
Query log TLS encryption Tutorials Getting started with Prometheus Understanding metric types Instrumenting HTTP server written in Go Visualizing metrics using Grafana
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.
Prometheus is a system monitoring and alerting system. It was opensourced by SoundCloud in 2012 and is the second project both to join and to graduate within Cloud Native Computing Foundation after Kubernetes.
Prometheus data is stored in /prometheus dir 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 bind mounts) for your container.
Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time.
