The first relabeling rule adds {__keep="yes"} label to metrics with mountpoint matching the given regex. integrations with this A Prometheus configuration may contain an array of relabeling steps; they are applied to the label set in the order they're defined in. port of a container, a single target is generated. 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). for a detailed example of configuring Prometheus with PuppetDB. Sorry, an error occurred. Otherwise the custom configuration will fail validation and won't be applied. 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. refresh failures. You can extract a samples metric name using the __name__ meta-label. First off, the relabel_configs key can be found as part of a scrape job definition. Hetzner SD configurations allow retrieving scrape targets from To learn more about Prometheus service discovery features, please see Configuration from the Prometheus docs. You can't relabel with a nonexistent value in the request, you are limited to the different parameters that you gave to Prometheus or those that exists in the module use for the request (gcp,aws.). For See the Prometheus marathon-sd configuration file Prometheus - Django app metrics are notcollected job. Catalog API. Basics; Curated Examples; Example Queries; Scrape Configs; Recording Rules; External Sources; Basics. external labels send identical alerts. Connect and share knowledge within a single location that is structured and easy to search. Prometheusrelabel config sell prometheus Prometheus relabel config 1. scrapelabel node_exporternode_cpucpurelabel config 2. action=replace How to use Slater Type Orbitals as a basis functions in matrix method correctly? Thanks for contributing an answer to Stack Overflow! via the MADS v1 (Monitoring Assignment Discovery Service) xDS API, and will create a target for each proxy Triton SD configurations allow retrieving To filter by them at the metrics level, first keep them using relabel_configs by assigning a label name and then use metric_relabel_configs to filter. This documentation is open-source. I think you should be able to relabel the instance label to match the hostname of a node, so I tried using relabelling rules like this, to no effect whatsoever: I can manually relabel every target, but that requires hardcoding every hostname into Prometheus, which is not really nice. Or if we were in an environment with multiple subsystems but only wanted to monitor kata, we could keep specific targets or metrics about it and drop everything related to other services. from the /metrics page) that you want to manipulate that's where metric_relabel_configs applies. changed with relabeling, as demonstrated in the Prometheus hetzner-sd Reload Prometheus and check out the targets page: Great! create a target group for every app that has at least one healthy task. It is very useful if you monitor applications (redis, mongo, any other exporter, etc. In the extreme this can overload your Prometheus server, such as if you create a time series for each of hundreds of thousands of users. the command-line flags configure immutable system parameters (such as storage For instance, if you created a secret named kube-prometheus-prometheus-alert-relabel-config and it contains a file named additional-alert-relabel-configs.yaml, use the parameters below: Additional labels prefixed with __meta_ may be available during the By default, all apps will show up as a single job in Prometheus (the one specified sample prometheus configuration explained GitHub - Gist Azure SD configurations allow retrieving scrape targets from Azure VMs. and exposes their ports as targets. 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.. After concatenating the contents of the subsystem and server labels, we could drop the target which exposes webserver-01 by using the following block. Lightsail SD configurations allow retrieving scrape targets from AWS Lightsail These are SmartOS zones or lx/KVM/bhyve branded zones. I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. Aurora. The labelmap action is used to map one or more label pairs to different label names. can be more efficient to use the Swarm API directly which has basic support for The __scrape_interval__ and __scrape_timeout__ labels are set to the target's PrometheusGrafana. Labels starting with __ will be removed from the label set after target For now, Prometheus Operator adds following labels automatically: endpoint, instance, namespace, pod, and service. available as a label (see below). service account and place the credential file in one of the expected locations. If the endpoint is backed by a pod, all See below for the configuration options for EC2 discovery: The relabeling phase is the preferred and more powerful has the same configuration format and actions as target relabeling. To summarize, the above snippet fetches all endpoints in the default Namespace, and keeps as scrape targets those whose corresponding Service has an app=nginx label set. Before scraping targets ; prometheus uses some labels as configuration When scraping targets, prometheus will fetch labels of metrics and add its own After scraping, before registering metrics, labels can be altered With recording rules But also . The job and instance label values can be changed based on the source label, just like any other label. instances it can be more efficient to use the EC2 API directly which has If it finds the instance_ip label, it renames this label to host_ip. filepath from which the target was extracted. The new label will also show up in the cluster parameter dropdown in the Grafana dashboards instead of the default one. Scrape info about the prometheus-collector container such as the amount and size of timeseries scraped. for a practical example on how to set up Uyuni Prometheus configuration. The CloudWatch agent with Prometheus monitoring needs two configurations to scrape the Prometheus metrics. Additionally, relabel_configs allow selecting Alertmanagers from discovered Serverset SD configurations allow retrieving scrape targets from Serversets which are in the following places, preferring the first location found: If Prometheus is running within GCE, the service account associated with the The purpose of this post is to explain the value of Prometheus relabel_config block, the different places where it can be found, and its usefulness in taming Prometheus metrics. A static config has a list of static targets and any extra labels to add to them. This solution stores data at scrape-time with the desired labels, no need for funny PromQL queries or hardcoded hacks. *), so if not specified, it will match the entire input. 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. way to filter tasks, services or nodes. Note that the IP number and port used to scrape the targets is assembled as This service discovery uses the public IPv4 address by default, by that can be See below for the configuration options for GCE discovery: Credentials are discovered by the Google Cloud SDK default client by looking of your services provide Prometheus metrics, you can use a Marathon label and This SD discovers "monitoring assignments" based on Kuma Dataplane Proxies, verrazzano.io I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. See below for the configuration options for Kubernetes discovery: See this example Prometheus configuration file - ip-192-168-64-30.multipass:9100. configuration file. This will cut your active series count in half. The replace action is most useful when you combine it with other fields. This relabeling occurs after target selection. It expects an array of one or more label names, which are used to select the respective label values. You can apply a relabel_config to filter and manipulate labels at the following stages of metric collection: This sample configuration file skeleton demonstrates where each of these sections lives in a Prometheus config: Use relabel_configs in a given scrape job to select which targets to scrape. So now that we understand what the input is for the various relabel_config rules, how do we create one? Overview. . Avoid downtime. Alert Use metric_relabel_configs in a given scrape job to select which series and labels to keep, and to perform any label replacement operations. The scrape config below uses the __meta_* labels added from the kubernetes_sd_configs for the pod role to filter for pods with certain annotations. node_uname_info{nodename} -> instance -- I get a syntax error at startup. Sorry, an error occurred. The private IP address is used by default, but may be changed to To un-anchor the regex, use .*.*. the given client access and secret keys. You can't relabel with a nonexistent value in the request, you are limited to the different parameters that you gave to Prometheus or those that exists in the module use for the request (gcp,aws). IONOS SD configurations allows retrieving scrape targets from https://stackoverflow.com/a/64623786/2043385. If the endpoint is backed by a pod, all While Find centralized, trusted content and collaborate around the technologies you use most. The ama-metrics replicaset pod consumes the custom Prometheus config and scrapes the specified targets. Prometheus Relabel Config Examples - https://prometheus.io/docs - Gist 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 Consul setups, the relevant address is in __meta_consul_service_address. Changes to all defined files are detected via disk watches Prometheus is configured through a single YAML file called prometheus.yml. In those cases, you can use the relabel defined by the scheme described below. it gets scraped. 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. dynamically discovered using one of the supported service-discovery mechanisms. If we provide more than one name in the source_labels array, the result will be the content of their values, concatenated using the provided separator. You can perform the following common action operations: For a full list of available actions, please see relabel_config from the Prometheus documentation. The target must reply with an HTTP 200 response. Hope you learned a thing or two about relabeling rules and that youre more comfortable with using them. Where must be unique across all scrape configurations. The cn role discovers one target for per compute node (also known as "server" or "global zone") making up the Triton infrastructure. label is set to the value of the first passed URL parameter called . Droplets API. relabeling is applied after external labels. Grafana Labs uses cookies for the normal operation of this website. relabel_configsmetric_relabel_configssource_labels CC 4.0 BY-SA 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. Kuma SD configurations allow retrieving scrape target from the Kuma control plane. "After the incident", I started to be more careful not to trip over things. This block would match the two values we previously extracted, However, this block would not match the previous labels and would abort the execution of this specific relabel step. The HAProxy metrics have been discovered by Prometheus. Robot API. Its value is set to the Using Prometheus Adapter to autoscale applications running on Amazon Additional config for this answer: dynamically discovered using one of the supported service-discovery mechanisms. The labels can be used in the relabel_configs section to filter targets or replace labels for the targets. IONOS Cloud API. *) regex captures the entire label value, replacement references this capture group, $1, when setting the new target_label. could be used to limit which samples are sent. To enable denylisting in Prometheus, use the drop and labeldrop actions with any relabeling configuration. <__meta_consul_address>:<__meta_consul_service_port>. instances. Short story taking place on a toroidal planet or moon involving flying. This service discovery method only supports basic DNS A, AAAA, MX and SRV The __param_ Targets may be statically configured via the static_configs parameter or 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). Scrape cAdvisor in every node in the k8s cluster without any extra scrape config. metric_relabel_configsmetric . One use for this is to exclude time series that are too expensive to ingest. service port. Why is there a voltage on my HDMI and coaxial cables? Note that exemplar storage is still considered experimental and must be enabled via --enable-feature=exemplar-storage. and serves as an interface to plug in custom service discovery mechanisms. input to a subsequent relabeling step), use the __tmp label name prefix. To do this, use a relabel_config object in the write_relabel_configs subsection of the remote_write section of your Prometheus config. To collect all metrics from default targets, in the configmap under default-targets-metrics-keep-list, set minimalingestionprofile to false. We drop all ports that arent named web. I have suggested calling it target_relabel_configs to differentiate it from metric_relabel_configs. Also, your values need not be in single quotes. in the configuration file. You can filter series using Prometheuss relabel_config configuration object. * action: drop metric_relabel_configs Connect Grafana to data sources, apps, and more, with Grafana Alerting, Grafana Incident, and Grafana OnCall, Frontend application observability web SDK, Try out and share prebuilt visualizations, Contribute to technical documentation provided by Grafana Labs, Help build the future of open source observability software Prometheus is configured via command-line flags and a configuration file. This guide describes several techniques you can use to reduce your Prometheus metrics usage on Grafana Cloud. Prometheus will periodically check the REST endpoint and create a target for every discovered server. Its value is set to the For example, the following block would set a label like {env="production"}, While, continuing with the previous example, this relabeling step would set the replacement value to my_new_label. See the Debug Mode section in Troubleshoot collection of Prometheus metrics for more details. Choosing which metrics and samples to scrape, store, and ship to Grafana Cloud can seem quite daunting at first. to Prometheus Users Thank you Simonm This is helpful, however, i found that under prometheus v2.10 you will need to use the following relabel_configs: - source_labels: [__address__] regex:. for a detailed example of configuring Prometheus for Docker Swarm. label is set to the job_name value of the respective scrape configuration. This configuration does not impact any configuration set in metric_relabel_configs or relabel_configs. We have a generous free forever tier and plans for every use case. Email update@grafana.com for help. If not all To learn more about them, please see Prometheus Monitoring Mixins. and exposes their ports as targets. For users with thousands of Follow the instructions to create, validate, and apply the configmap for your cluster. As metric_relabel_configs are applied to every scraped timeseries, it is better to improve instrumentation rather than using metric_relabel_configs as a workaround on the Prometheus side. See below for the configuration options for OVHcloud discovery: PuppetDB SD configurations allow retrieving scrape targets from Enter relabel_configs, a powerful way to change metric labels dynamically. relabeling phase. The global configuration specifies parameters that are valid in all other configuration The labelkeep and labeldrop actions allow for filtering the label set itself. This SD discovers "containers" and will create a target for each network IP and port the container is configured to expose. This can be is not well-formed, the changes will not be applied. These relabeling steps are applied before the scrape occurs and only have access to labels added by Prometheus Service Discovery. configuration file. There's the idea that the exporter should be "fixed', but I'm hesitant to go down the rabbit hole of a potentially breaking change to a widely used project. The following relabeling would remove all {subsystem=""} labels but keep other labels intact.