See below for the configuration options for PuppetDB discovery: See this example Prometheus configuration file Since kubernetes_sd_configs will also add any other Pod ports as scrape targets (with role: endpoints), we need to filter these out using the __meta_kubernetes_endpoint_port_name relabel config. relabeling: Kubernetes SD configurations allow retrieving scrape targets from . configuration file. Denylisting becomes possible once youve identified a list of high-cardinality metrics and labels that youd like to drop. A relabel_configs configuration allows you to keep or drop targets returned by a service discovery mechanism like Kubernetes service discovery or AWS EC2 instance service discovery. instances. See below for the configuration options for Scaleway discovery: Uyuni SD configurations allow retrieving scrape targets from managed systems Default targets are scraped every 30 seconds. We could offer this as an alias, to allow config file transition for Prometheus 3.x. Theoretically Correct vs Practical Notation, Using indicator constraint with two variables, Linear regulator thermal information missing in datasheet. The service role discovers a target for each service port for each service. Lightsail SD configurations allow retrieving scrape targets from AWS Lightsail Files may be provided in YAML or JSON format. One use for this is ensuring a HA pair of Prometheus servers with different This piece of remote_write configuration sets the remote endpoint to which Prometheus will push samples. Prometheus fetches an access token from the specified endpoint with First attempt: In order to set the instance label to $host, one can use relabel_configs to get rid of the port of your scaping target: But the above would also overwrite labels you wanted to set e.g. It's not uncommon for a user to share a Prometheus config with a validrelabel_configs and wonder why it isn't taking effect. Prometheus A static_config allows specifying a list of targets and a common label set Scrape the kubernetes api server in the k8s cluster without any extra scrape config. You can extract a samples metric name using the __name__ meta-label. is it query? Note: By signing up, you agree to be emailed related product-level information. To learn how to do this, please see Sending data from multiple high-availability Prometheus instances. See below for the configuration options for GCE discovery: Credentials are discovered by the Google Cloud SDK default client by looking type Config struct {GlobalConfig GlobalConfig `yaml:"global"` AlertingConfig AlertingConfig `yaml:"alerting,omitempty"` RuleFiles []string `yaml:"rule_files,omitempty"` ScrapeConfigs []*ScrapeConfig `yaml:"scrape_configs,omitempty"` . Open positions, Check out the open source projects we support Posted by Ruan A consists of seven fields. DigitalOcean SD configurations allow retrieving scrape targets from DigitalOcean's entities and provide advanced modifications to the used API path, which is exposed If a job is using kubernetes_sd_configs to discover targets, each role has associated __meta_* labels for metrics. Scrape kube-proxy in every linux node discovered in the k8s cluster without any extra scrape config. Enter relabel_configs, a powerful way to change metric labels dynamically. The global configuration specifies parameters that are valid in all other configuration relabeling is completed. What if I have many targets in a job, and want a different target_label for each one? For reference, heres our guide to Reducing Prometheus metrics usage with relabeling. Serverset data must be in the JSON format, the Thrift format is not currently supported. 5.6K subscribers in the PrometheusMonitoring community. The following table has a list of all the default targets that the Azure Monitor metrics addon can scrape by default and whether it's initially enabled. 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). A Prometheus configuration may contain an array of relabeling steps; they are applied to the label set in the order they're defined in. Some of these special labels available to us are. Prometheus keeps all other metrics. Published by Brian Brazil in Posts. A configuration reload is triggered by sending a SIGHUP to the Prometheus process or for a practical example on how to set up your Marathon app and your Prometheus One of the following roles can be configured to discover targets: The services role discovers all Swarm services You can either create this configmap or edit an existing one. A blog on monitoring, scale and operational Sanity. This service discovery uses the public IPv4 address by default, but that can be For example, you may have a scrape job that fetches all Kubernetes Endpoints using a kubernetes_sd_configs parameter. defined by the scheme described below. 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. The node-exporter config below is one of the default targets for the daemonset pods. The following rule could be used to distribute the load between 8 Prometheus instances, each responsible for scraping the subset of targets that end up producing a certain value in the [0, 7] range, and ignoring all others. and exposes their ports as targets. prefix is guaranteed to never be used by Prometheus itself. Refresh the page, check Medium 's site status,. The second relabeling rule adds {__keep="yes"} label to metrics with empty `mountpoint` label, e.g. Blog | Training | Book | Privacy, relabel_configs vs metric_relabel_configs. Email update@grafana.com for help. To further customize the default jobs to change properties such as collection frequency or labels, disable the corresponding default target by setting the configmap value for the target to false, and then apply the job using custom configmap. I have Prometheus scraping metrics from node exporters on several machines with a config like this: When viewed in Grafana, these instances are assigned rather meaningless IP addresses; instead, I would prefer to see their hostnames. Its value is set to the prometheus.yml This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. are set to the scheme and metrics path of the target respectively. changed with relabeling, as demonstrated in the Prometheus digitalocean-sd refresh interval. The other is for the CloudWatch agent configuration. With a (partial) config that looks like this, I was able to achieve the desired result. If you are running the Prometheus Operator (e.g. The ingress role discovers a target for each path of each ingress. # prometheus $ vim /usr/local/prometheus/prometheus.yml $ sudo systemctl restart prometheus Replace is the default action for a relabeling rule if we havent specified one; it allows us to overwrite the value of a single label by the contents of the replacement field. By default, all apps will show up as a single job in Prometheus (the one specified Extracting labels from legacy metric names. Robot API. Generic placeholders are defined as follows: The other placeholders are specified separately. I'm working on file-based service discovery from a DB dump that will be able to write these targets out. stored in Zookeeper. To enable denylisting in Prometheus, use the drop and labeldrop actions with any relabeling configuration. for a detailed example of configuring Prometheus with PuppetDB. Where may be a path ending in .json, .yml or .yaml. To learn more about the general format for a relabel_config block, please see relabel_config from the Prometheus docs. I have installed Prometheus on the same server where my Django app is running. One is for the standard Prometheus configurations as documented in <scrape_config> in the Prometheus documentation. Prometheus is an open-source monitoring and alerting toolkit that collects and stores its metrics as time series data. target and its labels before scraping. 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. available as a label (see below). node object in the address type order of NodeInternalIP, NodeExternalIP, Downloads. Does Counterspell prevent from any further spells being cast on a given turn? In this scenario, on my EC2 instances I have 3 tags: The default regex value is (. Prometheus All rights reserved. in the configuration file), which can also be changed using relabeling. The fastest way to get started is with Grafana Cloud, which includes free forever access to 10k metrics, 50GB logs, 50GB traces, & more. metric_relabel_configs are commonly used to relabel and filter samples before ingestion, and limit the amount of data that gets persisted to storage. Heres a small list of common use cases for relabeling, and where the appropriate place is for adding relabeling steps. This can be used to filter metrics with high cardinality or route metrics to specific remote_write targets. Using the __meta_kubernetes_service_label_app label filter, endpoints whose corresponding services do not have the app=nginx label will be dropped by this scrape job. service port. by the API. 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.). The target Furthermore, only Endpoints that have https-metrics as a defined port name are kept. So ultimately {__tmp=5} would be appended to the metrics label set. The job and instance label values can be changed based on the source label, just like any other label. File-based service discovery provides a more generic way to configure static targets To do this, use a relabel_config object in the write_relabel_configs subsection of the remote_write section of your Prometheus config. The label will end with '.pod_node_name'. ), but not system components (kubelet, node-exporter, kube-scheduler, .,) system components do not need most of the labels (endpoint . The __* labels are dropped after discovering the targets. via the MADS v1 (Monitoring Assignment Discovery Service) xDS API, and will create a target for each proxy - targets: ['localhost:8070'] scheme: http metric_relabel_configs: - source_labels: [__name__] regex: 'organizations_total|organizations_created' action . support for filtering instances. address one target is discovered per port. For each published port of a task, a single The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. configuration. With this, the node_memory_Active_bytes metric which contains only instance and job labels by default, gets an additional nodename label that you can use in the description field of Grafana. If not all After relabeling, the instance label is set to the value of __address__ by default if Serversets are commonly When custom scrape configuration fails to apply due to validation errors, default scrape configuration will continue to be used. Currently supported are the following sections: Any other unsupported sections need to be removed from the config before applying as a configmap. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Any other characters else will be replaced with _. config package - github.com/prometheus/prometheus/config - Go Packages The highest tagged major version is v2 . This is often resolved by using metric_relabel_configs instead (the reverse has also happened, but it's far less common). The Linux Foundation has registered trademarks and uses trademarks. Use __address__ as the source label only because that label will always exist and will add the label for every target of the job. The replace action is most useful when you combine it with other fields. Next I tried metrics_relabel_configs but that doesn't seem to want to copy a label from a different metric, ie. The target address defaults to the private IP address of the network This is a quick demonstration on how to use prometheus relabel configs, when you have scenarios for when example, you want to use a part of your hostname and assign it to a prometheus label. See below for the configuration options for Triton discovery: Eureka SD configurations allow retrieving scrape targets using the Alertmanagers may be statically configured via the static_configs parameter or relabel_configs: - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape] action: keep regex: true // keep targets with label __meta_kubernetes_service_annotation_prometheus_io_scrape equals 'true', // which means the user added prometheus.io/scrape: true in the service's annotation. Where must be unique across all scrape configurations. For readability its usually best to explicitly define a relabel_config. This occurs after target selection using relabel_configs. For redis we use targets like described in, Relabel instance to hostname in Prometheus, groups.google.com/forum/#!topic/prometheus-developers/, github.com/oliver006/redis_exporter/issues/623, https://stackoverflow.com/a/64623786/2043385, How Intuit democratizes AI development across teams through reusability. The ama-metrics replicaset pod consumes the custom Prometheus config and scrapes the specified targets. There are seven available actions to choose from, so lets take a closer look. engine. See this example Prometheus configuration file Prometheus applies this relabeling and dropping step after performing target selection using relabel_configs and metric selection and relabeling using metric_relabel_configs. metric_relabel_configs offers one way around that. Short story taking place on a toroidal planet or moon involving flying. create a target for every app instance. from underlying pods), the following labels are attached. 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.. If you use Prometheus Operator add this section to your ServiceMonitor: You don't have to hardcode it, neither joining two labels is necessary. relabeling. Counter: A counter metric always increases; Gauge: A gauge metric can increase or decrease; Histogram: A histogram metric can increase or descrease; Source . Prometheus Authors 2014-2023 | Documentation Distributed under CC-BY-4.0. The following snippet of configuration demonstrates an allowlisting approach, where the specified metrics are shipped to remote storage, and all others dropped. The labelmap action is used to map one or more label pairs to different label names. Reload Prometheus and check out the targets page: Great! If the endpoint is backed by a pod, all 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 Remote development environments that secure your source code and sensitive data (relabel_config) prometheus . tsdb lets you configure the runtime-reloadable configuration settings of the TSDB. Denylisting: This involves dropping a set of high-cardinality unimportant metrics that you explicitly define, and keeping everything else. See below for the configuration options for Docker discovery: The relabeling phase is the preferred and more powerful This feature allows you to filter through series labels using regular expressions and keep or drop those that match. refresh failures. additional container ports of the pod, not bound to an endpoint port, are discovered as targets as well. filtering containers (using filters). To learn more, please see Regular expression on Wikipedia. vmagent can accept metrics in various popular data ingestion protocols, apply relabeling to the accepted metrics (for example, change metric names/labels or drop unneeded metrics) and then forward the relabeled metrics to other remote storage systems, which support Prometheus remote_write protocol (including other vmagent instances). Metric relabel configs are applied after scraping and before ingestion. locations, amount of data to keep on disk and in memory, etc. Note: By signing up, you agree to be emailed related product-level information. write_relabel_configs is relabeling applied to samples before sending them To learn how to discover high-cardinality metrics, please see Analyzing Prometheus metric usage. As an example, consider the following two metrics. for a detailed example of configuring Prometheus for Docker Swarm. service is created using the port parameter defined in the SD configuration. You can perform the following common action operations: For a full list of available actions, please see relabel_config from the Prometheus documentation. So without further ado, lets get into it! 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. Allowlisting or keeping the set of metrics referenced in a Mixins alerting rules and dashboards can form a solid foundation from which to build a complete set of observability metrics to scrape and store. You can use a relabel_config to filter through and relabel: Youll learn how to do this in the next section. This The nodes role is used to discover Swarm nodes. is any valid To learn more, see our tips on writing great answers. One of the following role types can be configured to discover targets: The node role discovers one target per cluster node with the address defaulting We drop all ports that arent named web. The scrape intervals have to be set by customer in the correct format specified here, else the default value of 30 seconds will be applied to the corresponding targets. 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.