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  1. Querying basics - Prometheus

    Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time.

  2. Overview - Prometheus

    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 …

  3. Query examples - Prometheus

    Prometheus project documentation for Query examples

  4. Prometheus - Monitoring system & time series database

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

  5. Query functions - Prometheus

    This query is not only verbose and hard to write, it might also run into an “identity crisis”: If any of the data labels of target_info changes, Prometheus sees that as a change of series (as alluded to above, …

  6. Download - Prometheus

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

  7. Getting started - Prometheus

    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.

  8. Tutorials - Prometheus

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

  9. First steps with Prometheus

    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.

  10. Installation - Prometheus

    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) …