Denylisting becomes possible once youve identified a list of high-cardinality metrics and labels that youd like to drop. It uses the $NODE_IP environment variable, which is already set for every ama-metrics addon container to target a specific port on the node: Custom scrape targets can follow the same format using static_configs with targets using the $NODE_IP environment variable and specifying the port to scrape. How can I 'join' two metrics in a Prometheus query? See this example Prometheus configuration file Eureka REST API. service account and place the credential file in one of the expected locations. record queries, but not the advanced DNS-SD approach specified in Heres an example. You may wish to check out the 3rd party Prometheus Operator, *), so if not specified, it will match the entire input. So the solution I used is to combine an existing value containing what we want (the hostnmame) with a metric from the node exporter. So the solution I used is to combine an existing value containing what we want (the hostnmame) with a metric from the node exporter. The following snippet of configuration demonstrates an allowlisting approach, where the specified metrics are shipped to remote storage, and all others dropped. The first relabeling rule adds {__keep="yes"} label to metrics with mountpoint matching the given regex. Latest Published: Jan 31, 2023 License: Apache-2.0 Imports: 18 Imported by: 2,025 Details Valid go.mod file Redistributable license Tagged version Reducing Prometheus metrics usage with relabeling, Common use cases for relabeling in Prometheus, The targets scrape interval (experimental), Special labels set set by the Service Discovery mechanism, Special prefix used to temporarily store label values before discarding them, When you want to ignore a subset of applications; use relabel_config, When splitting targets between multiple Prometheus servers; use relabel_config + hashmod, When you want to ignore a subset of high cardinality metrics; use metric_relabel_config, When sending different metrics to different endpoints; use write_relabel_config. To do this, use a relabel_config object in the write_relabel_configs subsection of the remote_write section of your Prometheus config. To learn more about them, please see Prometheus Monitoring Mixins. Relabel configs allow you to select which targets you want scraped, and what the target labels will be. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. for a detailed example of configuring Prometheus for Kubernetes. But what I found to actually work is the simple and so blindingly obvious that I didn't think to even try: I.e., simply applying a target label in the scrape config. configuration file, the Prometheus marathon-sd configuration file, the Prometheus eureka-sd configuration file, the Prometheus scaleway-sd In addition, the instance label for the node will be set to the node name PrometheusGrafana. The second relabeling rule adds {__keep="yes"} label to metrics with empty `mountpoint` label, e.g. The relabeling phase is the preferred and more powerful To learn more about remote_write, please see remote_write from the official Prometheus docs. in the configuration file. action: keep. Prometheus Relabling Using a standard prometheus config to scrape two targets: - ip-192-168-64-29.multipass:9100 - ip-192-168-64-30.multipass:9100 A static config has a list of static targets and any extra labels to add to them. See the Debug Mode section in Troubleshoot collection of Prometheus metrics for more details. Omitted fields take on their default value, so these steps will usually be shorter. To play around with and analyze any regular expressions, you can use RegExr. If you're currently using Azure Monitor Container Insights Prometheus scraping with the setting monitor_kubernetes_pods = true, adding this job to your custom config will allow you to scrape the same pods and metrics. Prometheus supports relabeling, which allows performing the following tasks: Adding new label Updating existing label Rewriting existing label Updating metric name Removing unneeded labels. ec2:DescribeAvailabilityZones permission if you want the availability zone ID The above snippet will concatenate the values stored in __meta_kubernetes_pod_name and __meta_kubernetes_pod_container_port_number. from underlying pods), the following labels are attached. instance. This guide expects some familiarity with regular expressions. DigitalOcean SD configurations allow retrieving scrape targets from DigitalOcean's It expects an array of one or more label names, which are used to select the respective label values. We drop all ports that arent named web. Read more. input to a subsequent relabeling step), use the __tmp label name prefix. See below for the configuration options for PuppetDB discovery: See this example Prometheus configuration file After changing the file, the prometheus service will need to be restarted to pickup the changes. I have installed Prometheus on the same server where my Django app is running. can be more efficient to use the Docker API directly which has basic support for the cluster state. If shipping samples to Grafana Cloud, you also have the option of persisting samples locally, but preventing shipping to remote storage. Grafana Labs uses cookies for the normal operation of this website. So let's shine some light on these two configuration options. The account must be a Triton operator and is currently required to own at least one container. Thats all for today! A scrape_config section specifies a set of targets and parameters describing how It reads a set of files containing a list of zero or more Metric It also provides parameters to configure how to Otherwise the custom configuration will fail validation and won't be applied. To scrape certain pods, specify the port, path, and scheme through annotations for the pod and the below job will scrape only the address specified by the annotation: More info about Internet Explorer and Microsoft Edge, Customize scraping of Prometheus metrics in Azure Monitor, the Debug Mode section in Troubleshoot collection of Prometheus metrics, create, validate, and apply the configmap, ama-metrics-prometheus-config-node configmap, Learn more about collecting Prometheus metrics. It is the canonical way to specify static targets in a scrape created using the port parameter defined in the SD configuration. At a high level, a relabel_config allows you to select one or more source label values that can be concatenated using a separator parameter. - targets: ['localhost:8070'] scheme: http metric_relabel_configs: - source_labels: [__name__] regex: 'organizations_total|organizations_created' action . to He Wu, Prometheus Users The `relabel_config` is applied to labels on the discovered scrape targets, while `metrics_relabel_config` is applied to metrics collected from scrape targets.. An alertmanager_config section specifies Alertmanager instances the Prometheus inside a Prometheus-enabled mesh. Python Flask Forms with Jinja Templating , Copyright 2023 - Ruan - The labels can be used in the relabel_configs section to filter targets or replace labels for the targets. As an example, consider the following two metrics. Each target has a meta label __meta_url during the The other is for the CloudWatch agent configuration. Any other characters else will be replaced with _. Changes to all defined files are detected via disk watches Basics; Curated Examples; Example Queries; Scrape Configs; Recording Rules; External Sources; Basics. Alertmanagers may be statically configured via the static_configs parameter or Scaleway SD configurations allow retrieving scrape targets from Scaleway instances and baremetal services. Thanks for reading, if you like my content, check out my website, read my newsletter or follow me at @ruanbekker on Twitter. To learn more about Prometheus service discovery features, please see Configuration from the Prometheus docs. DNS servers to be contacted are read from /etc/resolv.conf. prefix is guaranteed to never be used by Prometheus itself. and exposes their ports as targets. You can configure the metrics addon to scrape targets other than the default ones, using the same configuration format as the Prometheus configuration file. changed with relabeling, as demonstrated in the Prometheus hetzner-sd Labels are sets of key-value pairs that allow us to characterize and organize whats actually being measured in a Prometheus metric. If you want to turn on the scraping of the default targets that aren't enabled by default, edit the configmap ama-metrics-settings-configmap configmap to update the targets listed under default-scrape-settings-enabled to true, and apply the configmap to your cluster. Each unique combination of key-value label pairs is stored as a new time series in Prometheus, so labels are crucial for understanding the datas cardinality and unbounded sets of values should be avoided as labels. server sends alerts to. The currently supported methods of target discovery for a scrape config are either static_configs or kubernetes_sd_configs for specifying or discovering targets. The relabeling step calculates the MD5 hash of the concatenated label values modulo a positive integer N, resulting in a number in the range [0, N-1]. A blog on monitoring, scale and operational Sanity. They are set by the service discovery mechanism that provided Its value is set to the For each published port of a service, a A DNS-based service discovery configuration allows specifying a set of DNS To learn how to discover high-cardinality metrics, please see Analyzing Prometheus metric usage. configuration file, the Prometheus linode-sd Since the (. the public IP address with relabeling. where should i use this in prometheus? Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. configuration. NodeLegacyHostIP, and NodeHostName. can be more efficient to use the Swarm API directly which has basic support for Recall that these metrics will still get persisted to local storage unless this relabeling configuration takes place in the metric_relabel_configs section of a scrape job. metric_relabel_configs are commonly used to relabel and filter samples before ingestion, and limit the amount of data that gets persisted to storage. For To review, open the file in an editor that reveals hidden Unicode characters. Additional helpful documentation, links, and articles: How to set up and visualize synthetic monitoring at scale with Grafana Cloud, Using Grafana Cloud to drive manufacturing plant efficiency. This set of targets consists of one or more Pods that have one or more defined ports. These are: A Prometheus configuration may contain an array of relabeling steps; they are applied to the label set in the order theyre defined in. The regex field expects a valid RE2 regular expression and is used to match the extracted value from the combination of the source_label and separator fields. r/kubernetes I've been collecting a list of k8s/container tools and sorting them by the number of stars in Github, so far the most complete k8s/container list I know of with almost 250 entries - hoping this is useful for someone else besides me - looking for feedback, ideas for improvement and contributors This will cut your active series count in half. Configuration file To specify which configuration file to load, use the --config.file flag. This is often resolved by using metric_relabel_configs instead (the reverse has also happened, but it's far less common). contexts. You can reduce the number of active series sent to Grafana Cloud in two ways: Allowlisting: This involves keeping a set of important metrics and labels that you explicitly define, and dropping everything else. So if there are some expensive metrics you want to drop, or labels coming from the scrape itself (e.g. . Why does Mister Mxyzptlk need to have a weakness in the comics? Published by Brian Brazil in Posts Tags: prometheus, relabelling, service discovery Share on Blog | Training | Book | Privacy Using this feature, you can store metrics locally but prevent them from shipping to Grafana Cloud. rev2023.3.3.43278. is it query? A configuration reload is triggered by sending a SIGHUP to the Prometheus process or sending a HTTP POST request to the /-/reload endpoint (when the --web.enable-lifecycle flag is enabled). relabeling is applied after external labels. IONOS SD configurations allows retrieving scrape targets from Extracting labels from legacy metric names. One is for the standard Prometheus configurations as documented in <scrape_config> in the Prometheus documentation. After scraping these endpoints, Prometheus applies the metric_relabel_configs section, which drops all metrics whose metric name matches the specified regex. Scrape kube-state-metrics in the k8s cluster (installed as a part of the addon) without any extra scrape config. Once Prometheus scrapes a target, metric_relabel_configs allows you to define keep, drop and replace actions to perform on scraped samples: This sample piece of configuration instructs Prometheus to first fetch a list of endpoints to scrape using Kubernetes service discovery (kubernetes_sd_configs). Prometheus fetches an access token from the specified endpoint with File-based service discovery provides a more generic way to configure static targets There is a small demo of how to use And what can they actually be used for? The target (relabel_config) prometheus . To un-anchor the regex, use .*
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