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  1. All Prometheus services are available as Docker images on Quay.io or Docker Hub. Running Prometheus on Docker is as simple as docker run -p 9090:9090 prom/prometheus. This starts Prometheus with a sample configuration and exposes it on port 9090. The Prometheus image uses a volume to store the actual metrics.

  2. 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 stores all metrics data as time series, i.e metrics information is stored along with the timestamp at which it was recorded ...

  3. The Prometheus monitoring system and time series database. Go 52,977 Apache-2.0 8,770 744 (85 issues need help) 198 Updated 15 hours ago. client_java Public. Prometheus instrumentation library for JVM applications. Java 2,133 Apache-2.0 772 85 22 Updated 19 hours ago. snmp_exporter Public.

  4. 17 de mar. de 2012 · Get Tickets! http://www.amctheatres.com/Movies/PrometheusIn the distant future, two superpowers control Earth and fight each other for all the solar system's...

  5. Locate the prometheus.yml file in the directory.. Modify Prometheus’s configuration file to monitor the hosts where you installed node_exporter. By default, Prometheus looks for the file prometheus.yml in the current working directory. This behavior can be changed via the --config.file command line flag. For example, some Prometheus installers use it to set the configuration file to /etc ...

  6. Querying 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. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API.

  7. Enable Prometheus's dimensional data model to identify any given combination of labels for the same metric name. It identifies a particular dimensional instantiation of that metric (for example: all HTTP requests that used the method POST to the /api/tracks handler). The query language allows filtering and aggregation based on these dimensions.

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