Serverset SD configurations allow retrieving scrape targets from Serversets which are When custom scrape configuration fails to apply due to validation errors, default scrape configuration will continue to be used. engine. to scrape them. Each pod of the daemonset will take the config, scrape the metrics, and send them for that node. - Key: Environment, Value: dev. So now that we understand what the input is for the various relabel_config rules, how do we create one? This can be used to filter metrics with high cardinality or route metrics to specific remote_write targets. Files may be provided in YAML or JSON format. If not all configuration. This feature allows you to filter through series labels using regular expressions and keep or drop those that match. Sign up for free now! After concatenating the contents of the subsystem and server labels, we could drop the target which exposes webserver-01 by using the following block. prometheustarget 12key metrics_relabel_configsrelabel_configsmetrics_relabel_configsrelabel_configstarget metric_relabel_configs 0 APP "" sleepyzhang 0 7638 0 0 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 file. The pod role discovers all pods and exposes their containers as targets. This may be changed with relabeling. Finally, use write_relabel_configs in a remote_write configuration to select which series and labels to ship to remote storage. 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). Any label pairs whose names match the provided regex will be copied with the new label name given in the replacement field, by utilizing group references (${1}, ${2}, etc). devops, docker, prometheus, Create a AWS Lambda Layer with Docker The regex is Going back to our extracted values, and a block like this. See below for the configuration options for GCE discovery: Credentials are discovered by the Google Cloud SDK default client by looking If a task has no published ports, a target per task is Alertmanagers may be statically configured via the static_configs parameter or Not the answer you're looking for? The private IP address is used by default, but may be changed to the public IP You can, for example, only keep specific metric names. Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples. relabeling is completed. valid JSON. 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. - targets: ['localhost:8070'] scheme: http metric_relabel_configs: - source_labels: [__name__] regex: 'organizations_total|organizations_created' action . This service discovery method only supports basic DNS A, AAAA, MX and SRV - the incident has nothing to do with me; can I use this this way? Remote development environments that secure your source code and sensitive data Thats all for today! It Our answer exist inside the node_uname_info metric which contains the nodename value. If you are running the Prometheus Operator (e.g. .). Use __address__ as the source label only because that label will always exist and will add the label for every target of the job. way to filter tasks, services or nodes. . Sorry, an error occurred. locations, amount of data to keep on disk and in memory, etc. Finally, this configures authentication credentials and the remote_write queue. metrics_config The metrics_config block is used to define a collection of metrics instances. The relabel_configs section is applied at the time of target discovery and applies to each target for the job. I see that the node exporter provides the metric node_uname_info that contains the hostname, but how do I extract it from there? When metrics come from another system they often don't have labels. Since the (. For now, Prometheus Operator adds following labels automatically: endpoint, instance, namespace, pod, and service. Please find below an example from other exporter (blackbox), but same logic applies for node exporter as well. The cluster label appended to every time series scraped will use the last part of the full AKS cluster's ARM resourceID. 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 Relabeling is a powerful tool to dynamically rewrite the label set of a target before prometheus prometheus server Pull Push . address one target is discovered per port. with kube-prometheus-stack) then you can specify additional scrape config jobs to monitor your custom services. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. Having to tack an incantation onto every simple expression would be annoying; figuring out how to build more complex PromQL queries with multiple metrics is another entirely. Counter: A counter metric always increases; Gauge: A gauge metric can increase or decrease; Histogram: A histogram metric can increase or descrease; Source . The ingress role discovers a target for each path of each ingress. kube-state-metricsAPI ServerDeploymentNodePodkube-state-metricsmetricsPrometheus . . Asking for help, clarification, or responding to other answers. 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 cluster state. Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. configuration file. To learn how to discover high-cardinality metrics, please see Analyzing Prometheus metric usage. changes resulting in well-formed target groups are applied. source_labels and separator Let's start off with source_labels. Below are examples showing ways to use relabel_configs. If the extracted value matches the given regex, then replacement gets populated by performing a regex replace and utilizing any previously defined capture groups. Prometheus also provides some internal labels for us. The Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. So as a simple rule of thumb: relabel_config happens before the scrape,metric_relabel_configs happens after the scrape. tracing_config configures exporting traces from Prometheus to a tracing backend via the OTLP protocol. 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 What sort of strategies would a medieval military use against a fantasy giant? Labels starting with __ will be removed from the label set after target 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. And what can they actually be used for? In addition, the instance label for the node will be set to the node name Or if youre using Prometheus Kubernetes service discovery you might want to drop all targets from your testing or staging namespaces. Advanced Setup: Configure custom Prometheus scrape jobs for the daemonset Note: By signing up, you agree to be emailed related product-level information. Next I came across something that said that Prom will fill in instance with the value of address if the collector doesn't supply a value, and indeed for some reason it seems as though my scrapes of node_exporter aren't getting one. Each target has a meta label __meta_url during the 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. instances. One use for this is ensuring a HA pair of Prometheus servers with different may contain a single * that matches any character sequence, e.g. Scrape kubelet in every node in the k8s cluster without any extra scrape config. server sends alerts to. Let's focus on one of the most common confusions around relabelling. yamlyaml. On the federation endpoint Prometheus can add labels When sending alerts we can alter alerts labels feature to replace the special __address__ label. // Config is the top-level configuration for Prometheus's config files. and exposes their ports as targets. compute resources. [prometheus URL]:9090/targets target endpoint Before relabeling __metrics_path__ label relabel relabel static config Prometheus Monitoring subreddit. See below for the configuration options for Scaleway discovery: Uyuni SD configurations allow retrieving scrape targets from managed systems To learn more about Prometheus service discovery features, please see Configuration from the Prometheus docs. The target address defaults to the first existing address of the Kubernetes To enable allowlisting in Prometheus, use the keep and labelkeep actions with any relabeling configuration. Where may be a path ending in .json, .yml or .yaml. For non-list parameters the metric_relabel_configs offers one way around that. for a detailed example of configuring Prometheus for Docker Swarm. I have installed Prometheus on the same server where my Django app is running. to the remote endpoint. It expects an array of one or more label names, which are used to select the respective label values. their API. The hashmod action provides a mechanism for horizontally scaling Prometheus. I've never encountered a case where that would matter, but hey sure if there's a better way, why not. defined by the scheme described below. So let's shine some light on these two configuration options. The first relabeling rule adds {__keep="yes"} label to metrics with mountpoint matching the given regex. discovery endpoints. Metric relabeling is applied to samples as the last step before ingestion. Its value is set to the Below are examples of how to do so. A blog on monitoring, scale and operational Sanity. The endpoints role discovers targets from listed endpoints of a service. For example "test\'smetric\"s\"" and testbackslash\\*. Lets start off with source_labels. See below for the configuration options for Triton discovery: Eureka SD configurations allow retrieving scrape targets using the By default, all apps will show up as a single job in Prometheus (the one specified You can filter series using Prometheuss relabel_config configuration object. additional container ports of the pod, not bound to an endpoint port, are discovered as targets as well. - targets: ['localhost:8070'] scheme: http metric_relabel_configs: - source_labels: [__name__] regex: 'organizations_total|organizations_created' action . So without further ado, lets get into it! Prometheus fetches an access token from the specified endpoint with For example, if the resource ID is /subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/rg-name/providers/Microsoft.ContainerService/managedClusters/clustername, the cluster label is clustername. Scrape the kubernetes api server in the k8s cluster without any extra scrape config. instances, as well as Extracting labels from legacy metric names. 2023 The Linux Foundation. Files must contain a list of static configs, using these formats: As a fallback, the file contents are also re-read periodically at the specified configuration file, the Prometheus uyuni-sd configuration file, the Prometheus vultr-sd It would also be less than friendly to expect any of my users -- especially those completely new to Grafana / PromQL -- to write a complex and inscrutable query every time. Which is frowned on by upstream as an "antipattern" because apparently there is an expectation that instance be the only label whose value is unique across all metrics in the job. Next I tried metrics_relabel_configs but that doesn't seem to want to copy a label from a different metric, ie. Which seems odd. Furthermore, only Endpoints that have https-metrics as a defined port name are kept. Aurora. WindowsyamlLinux. scrape targets from Container Monitor We have a generous free forever tier and plans for every use case. The HAProxy metrics have been discovered by Prometheus. They allow us to filter the targets returned by our SD mechanism, as well as manipulate the labels it sets. the target and vary between mechanisms. This Why is there a voltage on my HDMI and coaxial cables? Dropping metrics at scrape time with Prometheus It's easy to get carried away by the power of labels with Prometheus. Posted by Ruan See below for the configuration options for Eureka discovery: See the Prometheus eureka-sd configuration file support for filtering instances. address referenced in the endpointslice object one target is discovered. metric_relabel_configs relabel_configsreplace Prometheus K8S . Some of these special labels available to us are. Additionally, relabel_configs allow selecting Alertmanagers from discovered First off, the relabel_configs key can be found as part of a scrape job definition. 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. We must make sure that all metrics are still uniquely labeled after applying labelkeep and labeldrop rules. Targets may be statically configured via the static_configs parameter or RFC6763. 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. Kubernetes' REST API and always staying synchronized with Grafana Labs uses cookies for the normal operation of this website. I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. Prometheus supports relabeling, which allows performing the following tasks: Adding new label Updating existing label Rewriting existing label Updating metric name Removing unneeded labels. tsdb lets you configure the runtime-reloadable configuration settings of the TSDB. The address will be set to the Kubernetes DNS name of the service and respective For users with thousands of containers it Omitted fields take on their default value, so these steps will usually be shorter. For each endpoint 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]. 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. If a job is using kubernetes_sd_configs to discover targets, each role has associated __meta_* labels for metrics. 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. relabel_configs. To allowlist metrics and labels, you should identify a set of core important metrics and labels that youd like to keep. This service discovery uses the public IPv4 address by default, by that can be Prometheusrelabel config sell prometheus Prometheus relabel config 1. scrapelabel node_exporternode_cpucpurelabel config 2. action=replace Prometheus is configured via command-line flags and a configuration file. Note that exemplar storage is still considered experimental and must be enabled via --enable-feature=exemplar-storage. For details on custom configuration, see Customize scraping of Prometheus metrics in Azure Monitor. So if you want to say scrape this type of machine but not that one, use relabel_configs. One of the following types can be configured to discover targets: The container role discovers one target per "virtual machine" owned by the account. metadata and a single tag). Scrape cAdvisor in every node in the k8s cluster without any extra scrape config. This role uses the public IPv4 address by default. 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. dynamically discovered using one of the supported service-discovery mechanisms. 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. 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. This will also reload any configured rule files. Three different configmaps can be configured to change the default settings of the metrics addon: The ama-metrics-settings-configmap can be downloaded, edited, and applied to the cluster to customize the out-of-the-box features of the metrics addon. If a container has no specified ports, You can use a relabel rule like this one in your prometheus job desription: In the prometheus Service Discovery you can first check the correct name of your label. See below for the configuration options for Docker Swarm discovery: The relabeling phase is the preferred and more powerful for a detailed example of configuring Prometheus for Kubernetes. 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: For reference, heres our guide to Reducing Prometheus metrics usage with relabeling. through the __alerts_path__ label. discovery mechanism. If a service has no published ports, a target per Hope you learned a thing or two about relabeling rules and that youre more comfortable with using them. To enable denylisting in Prometheus, use the drop and labeldrop actions with any relabeling configuration. To learn more, please see Regular expression on Wikipedia. Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. prefix is guaranteed to never be used by Prometheus itself. can be more efficient to use the Swarm API directly which has basic support for still uniquely labeled once the labels are removed. By default, instance is set to __address__, which is $host:$port. it gets scraped. value is set to the specified default. We've looked at the full Life of a Label. Serverset data must be in the JSON format, the Thrift format is not currently supported. Use metric_relabel_configs in a given scrape job to select which series and labels to keep, and to perform any label replacement operations. - Key: Name, Value: pdn-server-1 Prometheusrelabel_config sell prometheus relabel_configs metric_relabel_configs example_metric {=""} prometheus.yaml could be used to limit which samples are sent. To learn more about the general format for a relabel_config block, please see relabel_config from the Prometheus docs. Denylisting: This involves dropping a set of high-cardinality unimportant metrics that you explicitly define, and keeping everything else. domain names which are periodically queried to discover a list of targets. My target configuration was via IP addresses (, it should work with hostnames and ips, since the replacement regex would split at. 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. The private IP address is used by default, but may be changed to Otherwise each node will try to scrape all targets and will make many calls to the Kubernetes API server. Connect and share knowledge within a single location that is structured and easy to search. Configuration file To specify which configuration file to load, use the --config.file flag. this functionality. . Any other characters else will be replaced with _. 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. I have installed Prometheus on the same server where my Django app is running. Published by Brian Brazil in Posts. These begin with two underscores and are removed after all relabeling steps are applied; that means they will not be available unless we explicitly configure them to. Setup monitoring with Prometheus and Grafana in Kubernetes Start monitoring your Kubernetes Geoffrey Mariette in Better Programming Create Your Python's Custom Prometheus Exporter Tony in Dev Genius K8s ChatGPT Bot For Intelligent Troubleshooting Stefanie Lai in Dev Genius All You Need to Know about Debugging Kubernetes Cronjob Help Status Weve come a long way, but were finally getting somewhere. Does Counterspell prevent from any further spells being cast on a given turn? Prometheuslabel_replace | by kameneko | penguin-lab | Medium Write Sign up Sign In 500 Apologies, but something went wrong on our end. This article provides instructions on customizing metrics scraping for a Kubernetes cluster with the metrics addon in Azure Monitor. Hetzner Cloud API and Use the metric_relabel_configs section to filter metrics after scraping. Prometheus keeps all other metrics. This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. OpenStack SD configurations allow retrieving scrape targets from OpenStack Nova The following snippet of configuration demonstrates an allowlisting approach, where the specified metrics are shipped to remote storage, and all others dropped. As we saw before, the following block will set the env label to the replacement provided, so {env="production"} will be added to the labelset. The CloudWatch agent with Prometheus monitoring needs two configurations to scrape the Prometheus metrics. via Uyuni API. To bulk drop or keep labels, use the labelkeep and labeldrop actions. The IAM credentials used must have the ec2:DescribeInstances permission to node object in the address type order of NodeInternalIP, NodeExternalIP, from underlying pods), the following labels are attached: If the endpoints belong to a service, all labels of the, For all targets backed by a pod, all labels of the. However, in some 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 currently supported methods of target discovery for a scrape config are either static_configs or kubernetes_sd_configs for specifying or discovering targets. This can be RE2 regular expression. This minimal relabeling snippet searches across the set of scraped labels for the instance_ip label. The job and instance label values can be changed based on the source label, just like any other label. Robot API. Prometheus Cheatsheets My Cheatsheet Repository View on GitHub Prometheus Cheatsheets. A static_config allows specifying a list of targets and a common label set Yes, I know, trust me I don't like either but it's out of my control. If a relabeling step needs to store a label value only temporarily (as the Example scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. 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. Write relabeling is applied after external labels.