Of course, we can do the opposite and only keep a specific set of labels and drop everything else. In the previous example, we may not be interested in keeping track of specific subsystems labels anymore. The private IP address is used by default, but may be changed to The scrape config should only target a single node and shouldn't use service discovery. Prometheus will periodically check the REST endpoint and create a target for every discovered server. URL from which the target was extracted. To learn how to discover high-cardinality metrics, please see Analyzing Prometheus metric usage. The following meta labels are available on all targets during relabeling: The labels below are only available for targets with role set to hcloud: The labels below are only available for targets with role set to robot: HTTP-based service discovery provides a more generic way to configure static targets Curated sets of important metrics can be found in Mixins. You may wish to check out the 3rd party Prometheus Operator, Asking for help, clarification, or responding to other answers. This guide expects some familiarity with regular expressions. This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. instance. are published with mode=host. The default value of the replacement is $1, so it will match the first capture group from the regex or the entire extracted value if no regex was specified. is it query? scrape targets from Container Monitor would result in capturing whats before and after the @ symbol, swapping them around, and separating them with a slash. additional container ports of the pod, not bound to an endpoint port, are discovered as targets as well. configuration file defines everything related to scraping jobs and their Denylisting: This involves dropping a set of high-cardinality unimportant metrics that you explicitly define, and keeping everything else. Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. Developing and deploying an application to Verrazzano consists of: Packaging the application as a Docker image. All rights reserved.

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