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We provide precompiled binaries and Docker images for most officially maintained Prometheus components. If a component is not listed here, check the respective repository on Github for further instructions.
- Downloading and Running Prometheus
- Configuring Prometheus to Monitor Itself
- Starting Prometheus
- Using The Expression Browser
- Using The Graphing Interface
- Starting Up Some Sample Targets
- Configure Prometheus to Monitor The Sample Targets
- Configure Rules For Aggregating Scraped Data Into New Time Series
- Reloading Configuration
- Shutting Down Your Instance gracefully.
Download the latest releaseof Prometheus foryour platform, then extract and run it: Before starting Prometheus, let's configure it.
Prometheus collects metrics from targetsby scraping metrics HTTPendpoints. Since Prometheus exposes data in the samemanner about itself, it can also scrape and monitor its own health. While a Prometheus server that collects only data about itself is not veryuseful, it is a good starting example. Save the following basicPrometheus configuration as a...
To start Prometheus with your newly created configuration file, change to thedirectory containing the Prometheus binary and run: Prometheus should start up. You should also be able to browse to a status pageabout itself at localhost:9090. Give it a couple ofseconds to collect data about itself from its own HTTP metrics endpoint. You can also verify...
Let us explore data that Prometheus has collected about itself. Touse Prometheus's built-in expression browser, navigate tohttp://localhost:9090/graphand choose the "Table" view within the "Graph" tab. As you can gather from localhost:9090/metrics,one metric that Prometheus exports about itself is namedprometheus_target_interval_length_seconds(the ...
To graph expressions, navigate to http://localhost:9090/graphand use the "Graph"tab. For example, enter the following expression to graph the per-second rate of chunksbeing created in the self-scraped Prometheus: Experiment with the graph range parameters and other settings.
Let's add additional targets for Prometheus to scrape. The Node Exporter is used as an example target, for more information on using itsee these instructions. You should now have example targets listening on http://localhost:8080/metrics,http://localhost:8081/metrics, and http://localhost:8082/metrics.
Now we will configure Prometheus to scrape these new targets. Let's group allthree endpoints into one job called node. We will imagine that thefirst two endpoints are production targets, while the third one represents acanary instance. To model this in Prometheus, we can add several groups ofendpoints to a single job, adding extra labels to each gr...
Though not a problem in our example, queries that aggregate over thousands oftime series can get slow when computed ad-hoc. To make this more efficient,Prometheus can prerecord expressions into new persistedtime series via configured recording rules. Let's say we are interested inrecording the per-second rate of cpu time (node_cpu_seconds_total) av...
As mentioned in the configuration documentation aPrometheus instance can have its configuration reloaded without restarting theprocess by using the SIGHUP signal. If you're running on Linux this can beperformed by using kill -s SIGHUP , replacing with your Prometheusprocess ID.
While Prometheus does have recovery mechanisms in the case that there is anabrupt process failure it is recommend to use the SIGTERM signal to cleanlyshutdown a Prometheus instance. If you're running on Linux this can be performedby using kill -s SIGTERM , replacing with your Prometheus process ID. This documentation is open-source. Pleas...
We provide precompiled binaries for most official Prometheus components. Check out the download section for a list of all available versions. From source. For building Prometheus components from source, see the Makefile targets in the respective repository. Using Docker. All Prometheus services are available as Docker images on Quay.io or ...
19 de mar. de 2024 · Prometheus se plantea como un framework de recolección de datos de estructura no definida (clave valor), más que como una herramienta de monitorización. Esto permite definir una sintaxis para su evaluación y de esa forma almacenar solo en caso de evento de cambio.
Prometheus es una solución popular de código abierto de monitoreo y alerta optimizada para entornos en contenedores. Conozca cómo usarlo con Amazon Managed Service for Prometheus. Casos de uso. Supervisión del sistema unificado. Supervise los contenedores en AWS, en las instalaciones y en otras nubes.
