Page Comparison

rsionThis This section describes the Prometheus forwarding agent. The Prometheus agent is available for both real-time and batch workflow configurations. This agent lets you publish metrics in a format that can be scraped by a Prometheus instance. The metrics can then be visualized using Grafana. Follow the official Grafana documentation here: https://grafana.com/docs/grafana/latest/. To configure Prometheus, see https://prometheus.io/docs/introduction/overview/.

...

The Prometheus forwarding agent stores metrics in a cache. The cached metrics are published in an endpoint which that is scraped by Prometheus. 

...

The cache is shared by all workflows running in the Execution Context so its size has to be set accordingly, that is, to the expected metric flow throughput. Each Prometheus scrape empties the cache so the cache size should be set to minimum 
<number_of_metrics_expected_per_second> * <prometheus_scrape_interval>.

...

• All metrics created with the use of a MeasurementUDR are exposed as a GAUGE type. See 9.78.5 System Insight UDR Types for more information

• Each value stored inside the fields field of the MeasurementUDR are is reported as a separate metric. 

• The CATEGORY  field is not used. If it is still needed it has to be assigned to NAME fields of the Prometheus UDR. See Prometheus UDR Type for more information.

• If the System Insight UDR field fields contains many measurements, each is reported as a separate metric.
  

...