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  1. 14 mag 2024 · Download Grafana. You can use Grafana Cloud to avoid installing, maintaining, and scaling your own instance of Grafana. Create a free account to get started, which includes free forever access to 10k metrics, 50GB logs, 50GB traces, & more.

  2. 9 mag 2024 · Download Prometheus for free. Open source monitoring system and time series database. Prometheus is a leading open source systems and service monitoring solution. It works by collecting metrics from configured targets at given intervals, evaluating rule expressions, and then displaying the results.

    • Database, Network Monitoring
    • Linux, Windows
    • 6.53 GB
  3. 20 mag 2024 · Run Prometheus by opening a command prompt, navigating to the Prometheus directory, and executing prometheus.exe. This action starts the Prometheus server. For Linux/Mac: Download the latest version for Linux or Mac from the Prometheus downloads page. Extract the tarball using the command tar xvfz prometheus-*.tar.gz.

  4. 2 giorni fa · Release Date: May 28, 2024. Release Info: What's New In Grafana 11.1.0-71279. This is a Nightly build of Grafana, and is intended to be used in development environments. To download the latest stable version of Grafana please click here. Linux Windows Mac Docker Linux on ARM64. Ubuntu and Debian ( 64 Bit) SHA256 ...

  5. 7 mag 2024 · Open source monitoring system and time series database. This is an exact mirror of the Prometheus project, hosted at https://github.com/prometheus/prometheus . SourceForge is not affiliated with Prometheus. For more information, see the SourceForge Open Source Mirror Directory . Summary.

  6. 6 giorni fa · Prometheus is a systems monitoring and alerting toolkit originally built at SoundCloud. It records real-time application metrics in an in-built time-series database via a query language, PromQL.

  7. 5 giorni fa · It removes the need to run, operate, and maintain multiple agents/collectors. This works with improved scalability and supports open source observability data formats (e.g. Jaeger, Prometheus, Fluent Bit, etc.) sending to one or more open source or commercial backends.