ClusterCockpit/cc-metric-collector
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cc-metric-collector/sinks/prometheusSink.md
Thomas Gruber d98076c792
Merge current development version into main (#48) 
* DiskstatCollector: cast part_max_used metric to int

* Add uint types to GangliaSink and LibgangliaSink

* Use new sink instances to allow multiple of same sink type

* Update sink README and SampleSink

* Use new receiver instances to allow multiple of same receiver type

* Fix metric scope in likwid configuration script

* Mention likwid config script in LikwidCollector README

* Refactor: Embed Init() into New() function

* Refactor: Embed Init() into New() function

* Fix: MetricReceiver uses uninitialized values, when initialization fails

* Use Ganglia configuration (#44)

* Copy all metric configurations from original Ganglia code

* Use metric configurations from Ganglia for some metrics

* Format value string also for known metrics

* Numa-aware memstat collector (#45)

* Add samples for collectors, sinks and receivers

* Ping InfluxDB server after connecting to recognize faulty connections

* Add sink for Prometheus monitoring system (#46)

* Add sink for Prometheus monitoring system

* Add prometheus sink to README

* Add scraper for Prometheus clients (#47)

Co-authored-by: Holger Obermaier <holgerob@gmx.de>
Co-authored-by: Holger Obermaier <40787752+ho-ob@users.noreply.github.com>
2022-02-25 14:49:49 +01:00

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prometheus sink

The prometheus sink publishes all metrics via an HTTP server ready to be scraped by a Prometheus server. It creates gauge metrics for all node metrics and gauge vectors for all metrics with a subtype like 'device', 'cpu' or 'socket'.

Configuration structure

{
  "<name>": {
    "type": "prometheus",
    "host": "localhost",
    "port": "8080",
    "path": "metrics"
  }
}
  • type: makes the sink an prometheus sink
  • host: The HTTP server gets bound to that IP/hostname
  • port: Portnumber (as string) for the HTTP server
  • path: Path where the metrics should be servered. The metrics will be published at host:port/path
  • group_as_namespace: Most metrics contain a group as meta information like 'memory', 'load'. With this the metric names are extended to group_name if possible.