prometheus relabel_configs vs metric_relabel

This will cut your active series count in half. tsdb lets you configure the runtime-reloadable configuration settings of the TSDB. You can extract a samples metric name using the __name__ meta-label. An example might make this clearer. This can be used to filter metrics with high cardinality or route metrics to specific remote_write targets. So ultimately {__tmp=5} would be appended to the metrics label set. Prometheus Monitoring subreddit. How can they help us in our day-to-day work? Published by Brian Brazil in Posts. filepath from which the target was extracted. Since the (. 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. where should i use this in prometheus? A consists of seven fields. changes resulting in well-formed target groups are applied. Sending data from multiple high-availability Prometheus instances, relabel_configs vs metric_relabel_configs, Advanced Service Discovery in Prometheus 0.14.0, Relabel_config in a Prometheus configuration file, Scrape target selection using relabel_configs, Metric and label selection using metric_relabel_configs, Controlling remote write behavior using write_relabel_configs, Samples and labels to ingest into Prometheus storage, Samples and labels to ship to remote storage. Prometheus 3. Please help improve it by filing issues or pull requests. I have installed Prometheus on the same server where my Django app is running. 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. You can either create this configmap or edit an existing one. So without further ado, lets get into it! The other is for the CloudWatch agent configuration. in the configuration file. Publishing the application's Docker image to a containe If the endpoint is backed by a pod, all They also serve as defaults for other configuration sections. created using the port parameter defined in the SD configuration. Does Counterspell prevent from any further spells being cast on a given turn? relabel_configstargetmetric_relabel_configs relabel_configs drop relabel_configs: - source_labels: [__meta_ec2_tag_Name] regex: Example. You can filter series using Prometheuss relabel_config configuration object. configuration. This role uses the public IPv4 address by default. which automates the Prometheus setup on top of Kubernetes. 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. configuration file. Serversets are commonly You can configure the metrics addon to scrape targets other than the default ones, using the same configuration format as the Prometheus configuration file. Only Not the answer you're looking for? Downloads. DNS servers to be contacted are read from /etc/resolv.conf. And what can they actually be used for? To do this, use a relabel_config object in the write_relabel_configs subsection of the remote_write section of your Prometheus config. The endpointslice role discovers targets from existing endpointslices. 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). 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. This can be useful when local Prometheus storage is cheap and plentiful, but the set of metrics shipped to remote storage requires judicious curation to avoid excess costs. service is created using the port parameter defined in the SD configuration. And if one doesn't work you can always try the other! 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 node-exporter.yaml . Default targets are scraped every 30 seconds. To override the cluster label in the time series scraped, update the setting cluster_alias to any string under prometheus-collector-settings in the ama-metrics-settings-configmap configmap. Note that exemplar storage is still considered experimental and must be enabled via --enable-feature=exemplar-storage. The labelkeep and labeldrop actions allow for filtering the label set itself. By default, instance is set to __address__, which is $host:$port. Metric relabeling is applied to samples as the last step before ingestion. Parameters that arent explicitly set will be filled in using default values. One of the following roles can be configured to discover targets: The services role discovers all Swarm services If not all their API. GCE SD configurations allow retrieving scrape targets from GCP GCE instances. address defaults to the host_ip attribute of the hypervisor. Which seems odd. For example, kubelet is the metric filtering setting for the default target kubelet. 1Prometheus. Otherwise each node will try to scrape all targets and will make many calls to the Kubernetes API server. You can add additional metric_relabel_configs sections that replace and modify labels here. relabel_configsmetric_relabel_configssource_labels CC 4.0 BY-SA To specify which configuration file to load, use the --config.file flag. I'm not sure if that's helpful. configuration. I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. For OVHcloud's public cloud instances you can use the openstacksdconfig. How do I align things in the following tabular environment? EC2 SD configurations allow retrieving scrape targets from AWS EC2 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. Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples. still uniquely labeled once the labels are removed. 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). Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. Serverset data must be in the JSON format, the Thrift format is not currently supported. 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 If were using Prometheus Kubernetes SD, our targets would temporarily expose some labels such as: Labels starting with double underscores will be removed by Prometheus after relabeling steps are applied, so we can use labelmap to preserve them by mapping them to a different name. Sorry, an error occurred. Droplets API. Sorry, an error occurred. Its value is set to the 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. filtering containers (using filters). as retrieved from the API server. Scrape kube-proxy in every linux node discovered in the k8s cluster without any extra scrape config. 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. Catalog API. 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. . See below for the configuration options for OpenStack discovery: OVHcloud SD configurations allow retrieving scrape targets from OVHcloud's dedicated servers and VPS using I'm also loathe to fork it and have to maintain in parallel with upstream, I have neither the time nor the karma. Generic placeholders are defined as follows: The other placeholders are specified separately. Omitted fields take on their default value, so these steps will usually be shorter. Prometheus is an open-source monitoring and alerting toolkit that collects and stores its metrics as time series data. After scraping these endpoints, Prometheus applies the metric_relabel_configs section, which drops all metrics whose metric name matches the specified regex. This service discovery uses the public IPv4 address by default, by that can be Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. Furthermore, only Endpoints that have https-metrics as a defined port name are kept. The target address defaults to the private IP address of the network metrics_config The metrics_config block is used to define a collection of metrics instances. Hope you learned a thing or two about relabeling rules and that youre more comfortable with using them. Each pod of the daemonset will take the config, scrape the metrics, and send them for that node. relabeling. The role will try to use the public IPv4 address as default address, if there's none it will try to use the IPv6 one. Relabeler allows you to visually confirm the rules implemented by a relabel config. This documentation is open-source. Kubernetes' REST API and always staying synchronized with address with relabeling. Prometheus K8SYaml K8S Eureka REST API. In this case Prometheus would drop a metric like container_network_tcp_usage_total(. can be more efficient to use the Swarm API directly which has basic support for To learn more, see our tips on writing great answers. Prometheus metric_relabel_configs . Making statements based on opinion; back them up with references or personal experience. type Config struct {GlobalConfig GlobalConfig `yaml:"global"` AlertingConfig AlertingConfig `yaml:"alerting,omitempty"` RuleFiles []string `yaml:"rule_files,omitempty"` ScrapeConfigs []*ScrapeConfig `yaml:"scrape_configs,omitempty"` . Denylisting: This involves dropping a set of high-cardinality unimportant metrics that you explicitly define, and keeping everything else. instances. If the endpoint is backed by a pod, all See below for the configuration options for GCE discovery: Credentials are discovered by the Google Cloud SDK default client by looking With a (partial) config that looks like this, I was able to achieve the desired result. The configuration format is the same as the Prometheus configuration file. 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. For users with thousands of the command-line flags configure immutable system parameters (such as storage Thanks for contributing an answer to Stack Overflow! For example "test\'smetric\"s\"" and testbackslash\\*. The __* labels are dropped after discovering the targets. This configuration does not impact any configuration set in metric_relabel_configs or relabel_configs. It is Refresh the page, check Medium 's site status,. 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. Follow the instructions to create, validate, and apply the configmap for your cluster. One use for this is ensuring a HA pair of Prometheus servers with different via Uyuni API. So if there are some expensive metrics you want to drop, or labels coming from the scrape itself (e.g. Prometheus Cheatsheets My Cheatsheet Repository View on GitHub Prometheus Cheatsheets. Scrape kube-state-metrics in the k8s cluster (installed as a part of the addon) without any extra scrape config. To enable allowlisting in Prometheus, use the keep and labelkeep actions with any relabeling configuration. The write_relabel_configs section defines a keep action for all metrics matching the apiserver_request_total|kubelet_node_config_error|kubelet_runtime_operations_errors_total regex, dropping all others. for a practical example on how to set up your Eureka app and your Prometheus ), but not system components (kubelet, node-exporter, kube-scheduler, .,) system components do not need most of the labels (endpoint . 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. Prometheusrelabel config sell prometheus Prometheus relabel config 1. scrapelabel node_exporternode_cpucpurelabel config 2. action=replace The Azure SD configurations allow retrieving scrape targets from Azure VMs. This may be changed with relabeling. instance it is running on should have at least read-only permissions to the Prometheus relabel configs are notoriously badly documented, so here's how to do something simple that I couldn't find documented anywhere: How to add a label to all metrics coming from a specific scrape target. Python Flask Forms with Jinja Templating , Copyright 2023 - Ruan - It also provides parameters to configure how to yamlyaml. The labelmap action is used to map one or more label pairs to different label names. create a target for every app instance. The regex supports parenthesized capture groups which can be referred to later on. This reduced set of targets corresponds to Kubelet https-metrics scrape endpoints. One is for the standard Prometheus configurations as documented in <scrape_config> in the Prometheus documentation. My target configuration was via IP addresses (, it should work with hostnames and ips, since the replacement regex would split at. action: keep. Scrape node metrics without any extra scrape config. // Config is the top-level configuration for Prometheus's config files. feature to replace the special __address__ label. It reads a set of files containing a list of zero or more The keep and drop actions allow us to filter out targets and metrics based on whether our label values match the provided regex. Tags: prometheus, relabelling. This guide describes several techniques you can use to reduce your Prometheus metrics usage on Grafana Cloud. s. A blog on monitoring, scale and operational Sanity. prefix is guaranteed to never be used by Prometheus itself. For all targets discovered directly from the endpointslice list (those not additionally inferred This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. configuration file defines everything related to scraping jobs and their The fastest way to get started is with Grafana Cloud, which includes free forever access to 10k metrics, 50GB logs, 50GB traces, & more. changed with relabeling, as demonstrated in the Prometheus vultr-sd Marathon REST API. Avoid downtime. changed with relabeling, as demonstrated in the Prometheus linode-sd Any other characters else will be replaced with _. If you are running the Prometheus Operator (e.g. Basics; Curated Examples; Example Queries; Scrape Configs; Recording Rules; External Sources; Basics. If a container has no specified ports, The private IP address is used by default, but may be changed to Choosing which metrics and samples to scrape, store, and ship to Grafana Cloud can seem quite daunting at first. and exposes their ports as targets. , __name__ () node_cpu_seconds_total mode idle (drop). DigitalOcean SD configurations allow retrieving scrape targets from DigitalOcean's prometheustarget 12key metrics_relabel_configsrelabel_configsmetrics_relabel_configsrelabel_configstarget metric_relabel_configs 0 APP "" sleepyzhang 0 7638 0 0 See below for the configuration options for Lightsail discovery: Linode SD configurations allow retrieving scrape targets from Linode's way to filter containers. Prometheus keeps all other metrics. A Prometheus configuration may contain an array of relabeling steps; they are applied to the label set in the order they're defined in. rev2023.3.3.43278. Use the following to filter IN metrics collected for the default targets using regex based filtering. For a cluster with a large number of nodes and pods and a large volume of metrics to scrape, some of the applicable custom scrape targets can be off-loaded from the single ama-metrics replicaset pod to the ama-metrics daemonset pod. refresh interval. and exposes their ports as targets. config package - github.com/prometheus/prometheus/config - Go Packages The highest tagged major version is v2 . a port-free target per container is created for manually adding a port via relabeling. The ingress role discovers a target for each path of each ingress. sending a HTTP POST request to the /-/reload endpoint (when the --web.enable-lifecycle flag is enabled). 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. Much of the content here also applies to Grafana Agent users. Once Prometheus is running, you can use PromQL queries to see how the metrics are evolving over time, such as rate (node_cpu_seconds_total [1m]) to observe CPU usage: While the node exporter does a great job of producing machine-level metrics on Unix systems, it's not going to help you expose metrics for all of your other third-party applications. By default, all apps will show up as a single job in Prometheus (the one specified metric_relabel_configs /metricsmetric_relabel_configs 3.2.2 alertmanagers alertmanagers Prometheus alertmanagers Prometheuspushing alertmanager alertmanager target The node-exporter config below is one of the default targets for the daemonset pods. 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. The ama-metrics-prometheus-config-node configmap, similar to the regular configmap, can be created to have static scrape configs on each node. Please find below an example from other exporter (blackbox), but same logic applies for node exporter as well. Also, your values need not be in single quotes. Labels are sets of key-value pairs that allow us to characterize and organize whats actually being measured in a Prometheus metric. Marathon SD configurations allow retrieving scrape targets using the the given client access and secret keys. This service discovery uses the main IPv4 address by default, which that be The private IP address is used by default, but may be changed to and serves as an interface to plug in custom service discovery mechanisms. - the incident has nothing to do with me; can I use this this way? Why does Mister Mxyzptlk need to have a weakness in the comics? interface. The relabeling phase is the preferred and more powerful Whats the grammar of "For those whose stories they are"? it was not set during relabeling. First off, the relabel_configs key can be found as part of a scrape job definition. See below for the configuration options for EC2 discovery: The relabeling phase is the preferred and more powerful The last path segment To allowlist metrics and labels, you should identify a set of core important metrics and labels that youd like to keep. has the same configuration format and actions as target relabeling. Prometheus relabel_configs 4. . It This feature allows you to filter through series labels using regular expressions and keep or drop those that match. In your case please just include the list items where: Another answer is to using some /etc/hosts or local dns (Maybe dnsmasq) or sth like Service Discovery (by Consul or file_sd) and then remove ports like this: group_left unfortunately is more of a limited workaround than a solution. To learn more about them, please see Prometheus Monitoring Mixins. 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. This role uses the private IPv4 address by default. 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. Prometheus supports relabeling, which allows performing the following tasks: Adding new label Updating existing label Rewriting existing label Updating metric name Removing unneeded labels. RE2 regular expression. PuppetDB resources. address one target is discovered per port. To learn more about remote_write, please see remote_write from the official Prometheus docs. 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]. To enable denylisting in Prometheus, use the drop and labeldrop actions with any relabeling configuration. contexts. Now what can we do with those building blocks? The following snippet of configuration demonstrates an allowlisting approach, where the specified metrics are shipped to remote storage, and all others dropped. The difference between the phonemes /p/ and /b/ in Japanese. The CloudWatch agent with Prometheus monitoring needs two configurations to scrape the Prometheus metrics. Next I tried metrics_relabel_configs but that doesn't seem to want to copy a label from a different metric, ie. OAuth 2.0 authentication using the client credentials grant type. Relabel configs allow you to select which targets you want scraped, and what the target labels will be. Triton SD configurations allow retrieving it gets scraped. 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. Brackets indicate that a parameter is optional. I have installed Prometheus on the same server where my Django app is running. Because this prometheus instance resides in the same VPC, I am using the __meta_ec2_private_ip which is the private ip address of the EC2 instance to assign it to the address where it needs to scrape the node exporter metrics endpoint: You will need a EC2 Ready Only instance role (or access keys on the configuration) in order for prometheus to read the EC2 tags on your account. For each declared To play around with and analyze any regular expressions, you can use RegExr. The __scrape_interval__ and __scrape_timeout__ labels are set to the target's See below for the configuration options for Marathon discovery: By default every app listed in Marathon will be scraped by Prometheus. Targets may be statically configured via the static_configs parameter or anchored on both ends. 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 This relabeling occurs after target selection. metric_relabel_configs are commonly used to relabel and filter samples before ingestion, and limit the amount of data that gets persisted to storage. Prometheus will periodically check the REST endpoint and create a target for every discovered server. But what about metrics with no labels? This is experimental and could change in the future. On the federation endpoint Prometheus can add labels When sending alerts we can alter alerts labels way to filter tasks, services or nodes. 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. To learn more about remote_write configuration parameters, please see remote_write from the Prometheus docs. Prom Labss Relabeler tool may be helpful when debugging relabel configs. *) to catch everything from the source label, and since there is only one group we use the replacement as ${1}-randomtext and use that value to apply it as the value of the given target_label which in this case is for randomlabel, which will be in this case: In this case we want to relabel the __address__ and apply the value to the instance label, but we want to exclude the :9100 from the __address__ label: On AWS EC2 you can make use of the ec2_sd_config where you can make use of EC2 Tags, to set the values of your tags to prometheus label values. There is a small demo of how to use configuration file, the Prometheus marathon-sd configuration file, the Prometheus eureka-sd configuration file, the Prometheus scaleway-sd When we configured Prometheus to run as a service, we specified the path of /etc/prometheus/prometheus.yml. stored in Zookeeper. One source of confusion around relabeling rules is that they can be found in multiple parts of a Prometheus config file. metric_relabel_configs by contrast are applied after the scrape has happened, but before the data is ingested by the storage system. Zookeeper. 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. Tracing is currently an experimental feature and could change in the future. For readability its usually best to explicitly define a relabel_config. The PromQL queries that power these dashboards and alerts reference a core set of important observability metrics. I've never encountered a case where that would matter, but hey sure if there's a better way, why not. via the MADS v1 (Monitoring Assignment Discovery Service) xDS API, and will create a target for each proxy 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 Linux Foundation has registered trademarks and uses trademarks. 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.. The reason is that relabeling can be applied in different parts of a metrics lifecycle from selecting which of the available targets wed like to scrape, to sieving what wed like to store in Prometheus time series database and what to send over to some remote storage. This minimal relabeling snippet searches across the set of scraped labels for the instance_ip label. See below for the configuration options for Scaleway discovery: Uyuni SD configurations allow retrieving scrape targets from managed systems relabeling: Kubernetes SD configurations allow retrieving scrape targets from * action: drop metric_relabel_configs 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 This service discovery method only supports basic DNS A, AAAA, MX and SRV Or if youre using Prometheus Kubernetes service discovery you might want to drop all targets from your testing or staging namespaces. For each published port of a service, a This is generally useful for blackbox monitoring of a service. Thats all for today! 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 For all targets discovered directly from the endpoints list (those not additionally inferred If the relabel action results in a value being written to some label, target_label defines to which label the replacement should be written. May 29, 2017. The __param_ See below for the configuration options for Docker Swarm discovery: The relabeling phase is the preferred and more powerful - ip-192-168-64-29.multipass:9100 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 cluster label appended to every time series scraped will use the last part of the full AKS cluster's ARM resourceID. this functionality. value is set to the specified default. Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. Additionally, relabel_configs allow selecting Alertmanagers from discovered

prometheus relabel_configs vs metric_relabel_configs 2023