For more information, check out our documentation and read more in the Prometheus documentation. Both of these methods are implemented through Prometheuss metric filtering and relabeling feature, relabel_config. Omitted fields take on their default value, so these steps will usually be shorter. See below for the configuration options for Docker discovery: The relabeling phase is the preferred and more powerful The node-exporter config below is one of the default targets for the daemonset pods. 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. So without further ado, lets get into it! prometheus prometheus server Pull Push . via the MADS v1 (Monitoring Assignment Discovery Service) xDS API, and will create a target for each proxy The regex supports parenthesized capture groups which can be referred to later on. in the following places, preferring the first location found: If Prometheus is running within GCE, the service account associated with the Scrape kubelet in every node in the k8s cluster without any extra scrape config. relabeling phase. through the __alerts_path__ label. See below for the configuration options for Scaleway discovery: Uyuni SD configurations allow retrieving scrape targets from managed systems Prometheus also provides some internal labels for us. 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 interval. Additionally, relabel_configs allow advanced modifications to any relabel_configs. This guide expects some familiarity with regular expressions. Droplets API. To play around with and analyze any regular expressions, you can use RegExr. So if you want to say scrape this type of machine but not that one, use relabel_configs. Find centralized, trusted content and collaborate around the technologies you use most. relabeling phase. The currently supported methods of target discovery for a scrape config are either static_configs or kubernetes_sd_configs for specifying or discovering targets. Of course, we can do the opposite and only keep a specific set of labels and drop everything else. 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. RE2 regular expression. Not the answer you're looking for? Prometheus is an open-source monitoring and alerting toolkit that collects and stores its metrics as time series data. To un-anchor the regex, use .*.*. The second relabeling rule adds {__keep="yes"} label to metrics with empty `mountpoint` label, e.g. Prometheus relabel_configs 4. Prometheus K8SYaml K8S Open positions, Check out the open source projects we support This documentation is open-source. Tags: prometheus, relabelling. Use __address__ as the source label only because that label will always exist and will add the label for every target of the job. Consul setups, the relevant address is in __meta_consul_service_address. They also serve as defaults for other configuration sections. Kuma SD configurations allow retrieving scrape target from the Kuma control plane. To learn how to do this, please see Sending data from multiple high-availability Prometheus instances. Prometheus service account and place the credential file in one of the expected locations. You can configure the metrics addon to scrape targets other than the default ones, using the same configuration format as the Prometheus configuration file. The result of the concatenation is the string node-42 and the MD5 of the string modulus 8 is 5. The create a target for every app instance. Advanced Setup: Configure custom Prometheus scrape jobs for the daemonset is not well-formed, the changes will not be applied. domain names which are periodically queried to discover a list of targets. to scrape them. The IAM credentials used must have the ec2:DescribeInstances permission to 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. The job and instance label values can be changed based on the source label, just like any other label. 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. If a task has no published ports, a target per task is Where may be a path ending in .json, .yml or .yaml. The PromQL queries that power these dashboards and alerts reference a core set of important observability metrics. Using relabeling at the target selection stage, you can selectively choose which targets and endpoints you want to scrape (or drop) to tune your metric usage. Finally, the modulus field expects a positive integer. to filter proxies and user-defined tags. Relabel configs allow you to select which targets you want scraped, and what the target labels will be. configuration file defines everything related to scraping jobs and their 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. This service discovery method only supports basic DNS A, AAAA, MX and SRV 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. Otherwise the custom configuration will fail validation and won't be applied. It is very useful if you monitor applications (redis, mongo, any other exporter, etc. Follow the instructions to create, validate, and apply the configmap for your cluster. This service discovery uses the main IPv4 address by default, which that be We drop all ports that arent named web. is any valid First, it should be metric_relabel_configs rather than relabel_configs. It is the canonical way to specify static targets in a scrape Hope you learned a thing or two about relabeling rules and that youre more comfortable with using them. I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. configuration file. File-based service discovery provides a more generic way to configure static targets If a job is using kubernetes_sd_configs to discover targets, each role has associated __meta_* labels for metrics. If the new configuration A Prometheus configuration may contain an array of relabeling steps; they are applied to the label set in the order they're defined in. 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 port-free target per container is created for manually adding a port via relabeling. with this feature. for a practical example on how to set up your Eureka app and your Prometheus Finally, use write_relabel_configs in a remote_write configuration to select which series and labels to ship to remote storage. With a (partial) config that looks like this, I was able to achieve the desired result. the command-line flags configure immutable system parameters (such as storage These are SmartOS zones or lx/KVM/bhyve branded zones. Reload Prometheus and check out the targets page: Great! For readability its usually best to explicitly define a relabel_config. Remote development environments that secure your source code and sensitive data This DigitalOcean SD configurations allow retrieving scrape targets from DigitalOcean's See below for the configuration options for Marathon discovery: By default every app listed in Marathon will be scraped by Prometheus. Serverset data must be in the JSON format, the Thrift format is not currently supported. Prom Labss Relabeler tool may be helpful when debugging relabel configs. The address will be set to the host specified in the ingress spec. Read more. The pod role discovers all pods and exposes their containers as targets. 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 each published port of a task, a single . The endpoint is queried periodically at the specified refresh interval. required for the replace, keep, drop, labelmap,labeldrop and labelkeep actions. The address will be set to the Kubernetes DNS name of the service and respective This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. Nerve SD configurations allow retrieving scrape targets from AirBnB's Nerve which are stored in rev2023.3.3.43278. 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.). Configuration file To specify which configuration file to load, use the --config.file flag. This role uses the private IPv4 address by default. label is set to the value of the first passed URL parameter called . metric_relabel_configs are commonly used to relabel and filter samples before ingestion, and limit the amount of data that gets persisted to storage. Why do academics stay as adjuncts for years rather than move around? In this case Prometheus would drop a metric like container_network_tcp_usage_total(. This set of targets consists of one or more Pods that have one or more defined ports. [prometheus URL]:9090/targets target endpoint Before relabeling __metrics_path__ label relabel relabel static config windows_exporter: enabled: true metric_relabel_configs: - source_labels: [__name__] regex: windows_system_system_up_time action: keep . Most users will only need to define one instance. Before applying these techniques, ensure that youre deduplicating any samples sent from high-availability Prometheus clusters. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. 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. 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 See below for the configuration options for Uyuni discovery: See the Prometheus uyuni-sd configuration file After relabeling, the instance label is set to the value of __address__ by default if May 30th, 2022 3:01 am After concatenating the contents of the subsystem and server labels, we could drop the target which exposes webserver-01 by using the following block. Downloads. can be more efficient to use the Swarm API directly which has basic support for The service role discovers a target for each service port for each service. But what about metrics with no labels? Endpoints are limited to the kube-system namespace. 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. It expects an array of one or more label names, which are used to select the respective label values. An alertmanager_config section specifies Alertmanager instances the Prometheus Prometheus Cheatsheets My Cheatsheet Repository View on GitHub Prometheus Cheatsheets. used by Finagle and The cn role discovers one target for per compute node (also known as "server" or "global zone") making up the Triton infrastructure. Downloads. . The result can then be matched against using a regex, and an action operation can be performed if a match occurs. The extracted string would then be set written out to the target_label and might result in {address="podname:8080}. feature to replace the special __address__ label. It reads a set of files containing a list of zero or more See the Prometheus examples of scrape configs for a Kubernetes cluster. This will also reload any configured rule files. this functionality. address one target is discovered per port. is it query? interface. 5.6K subscribers in the PrometheusMonitoring community. 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. Prometheus applies this relabeling and dropping step after performing target selection using relabel_configs and metric selection and relabeling using metric_relabel_configs. Each pod of the daemonset will take the config, scrape the metrics, and send them for that node. job. . metrics without this label. sending a HTTP POST request to the /-/reload endpoint (when the --web.enable-lifecycle flag is enabled). kube-state-metricsAPI ServerDeploymentNodePodkube-state-metricsmetricsPrometheus . The account must be a Triton operator and is currently required to own at least one container. An example might make this clearer. If you drop a label in a metric_relabel_configs section, it wont be ingested by Prometheus and consequently wont be shipped to remote storage. for a detailed example of configuring Prometheus for Docker Swarm. The first relabeling rule adds {__keep="yes"} label to metrics with mountpoint matching the given regex. Sorry, an error occurred. configuration file, the Prometheus marathon-sd configuration file, the Prometheus eureka-sd configuration file, the Prometheus scaleway-sd The above snippet will concatenate the values stored in __meta_kubernetes_pod_name and __meta_kubernetes_pod_container_port_number. 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. The ama-metrics replicaset pod consumes the custom Prometheus config and scrapes the specified targets. 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: Once the targets have been defined, the metric_relabel_configs steps are applied after the scrape and allow us to select which series we would like to ingest into Prometheus storage. The __* labels are dropped after discovering the targets. Create Your Python's Custom Prometheus Exporter Tony DevOps in K8s K9s, Terminal Based UI to Manage Your Cluster Kirshi Yin in Better Programming How To Monitor a Spring Boot App With. First off, the relabel_configs key can be found as part of a scrape job definition. Enter relabel_configs, a powerful way to change metric labels dynamically. Prometheus instance. See this example Prometheus configuration file port of a container, a single target is generated. target and its labels before scraping. The resource address is the certname of the resource and can be changed during prometheustarget 12key metrics_relabel_configsrelabel_configsmetrics_relabel_configsrelabel_configstarget metric_relabel_configs 0 APP "" sleepyzhang 0 7638 0 0 // Config is the top-level configuration for Prometheus's config files. Additional labels prefixed with __meta_ may be available during the Prometheus is configured through a single YAML file called prometheus.yml. - Key: Name, Value: pdn-server-1 * action: drop metric_relabel_configs Use the following to filter IN metrics collected for the default targets using regex based filtering. ), but not system components (kubelet, node-exporter, kube-scheduler, .,) system components do not need most of the labels (endpoint . Prometheus metric_relabel_configs . Curated sets of important metrics can be found in Mixins. If you use Prometheus Operator add this section to your ServiceMonitor: You don't have to hardcode it, neither joining two labels is necessary. the given client access and secret keys. which rule files to load. Example scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. The cluster label appended to every time series scraped will use the last part of the full AKS cluster's ARM resourceID. 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. integrations with this Generic placeholders are defined as follows: The other placeholders are specified separately. Grafana Labs uses cookies for the normal operation of this website. This relabeling occurs after target selection. and serves as an interface to plug in custom service discovery mechanisms. Going back to our extracted values, and a block like this. To learn more about remote_write, please see remote_write from the official Prometheus docs. The private IP address is used by default, but may be changed to Prometheus supports relabeling, which allows performing the following tasks: Adding new label Updating existing label Rewriting existing label Updating metric name Removing unneeded labels. The tasks role discovers all Swarm tasks I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. 1Prometheus. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. instances, as well as This can be To collect all metrics from default targets, in the configmap under default-targets-metrics-keep-list, set minimalingestionprofile to false. Files may be provided in YAML or JSON format. Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples. So if there are some expensive metrics you want to drop, or labels coming from the scrape itself (e.g. 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. Scrape cAdvisor in every node in the k8s cluster without any extra scrape config. Let's focus on one of the most common confusions around relabelling. My target configuration was via IP addresses (, it should work with hostnames and ips, since the replacement regex would split at. For non-list parameters the The fastest way to get started is with Grafana Cloud, which includes free forever access to 10k metrics, 50GB logs, 50GB traces, & more. Relabelling. A configuration reload is triggered by sending a SIGHUP to the Prometheus process or Published by Brian Brazil in Posts Tags: prometheus, relabelling, service discovery Share on Blog | Training | Book | Privacy way to filter services or nodes for a service based on arbitrary labels. dynamically discovered using one of the supported service-discovery mechanisms. filtering nodes (using filters). Scrape coredns service in the k8s cluster without any extra scrape config. For all targets discovered directly from the endpoints list (those not additionally inferred relabel_configstargetmetric_relabel_configs relabel_configs drop relabel_configs: - source_labels: [__meta_ec2_tag_Name] regex: Example. See below for the configuration options for OpenStack discovery: OVHcloud SD configurations allow retrieving scrape targets from OVHcloud's dedicated servers and VPS using for a practical example on how to set up your Marathon app and your Prometheus I've never encountered a case where that would matter, but hey sure if there's a better way, why not. If running outside of GCE make sure to create an appropriate This article provides instructions on customizing metrics scraping for a Kubernetes cluster with the metrics addon in Azure Monitor. 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 filepath from which the target was extracted. <__meta_consul_address>:<__meta_consul_service_port>. Consider the following metric and relabeling step. But still that shouldn't matter, I dunno why node_exporter isn't supplying any instance label at all since it does find the hostname for the info metric (where it doesn't do me any good). Prometheus keeps all other metrics. configuration. You may wish to check out the 3rd party Prometheus Operator, DNS servers to be contacted are read from /etc/resolv.conf. metric_relabel_configs offers one way around that. While directly which has basic support for filtering nodes (currently by node discovery endpoints. See below for the configuration options for EC2 discovery: The relabeling phase is the preferred and more powerful 3. Why does Mister Mxyzptlk need to have a weakness in the comics? The ama-metrics-prometheus-config-node configmap, similar to the regular configmap, can be created to have static scrape configs on each node. with kube-prometheus-stack) then you can specify additional scrape config jobs to monitor your custom services. it gets scraped. PrometheusGrafana. Labels starting with __ will be removed from the label set after target # prometheus $ vim /usr/local/prometheus/prometheus.yml $ sudo systemctl restart prometheus The relabeling phase is the preferred and more powerful You can extract a samples metric name using the __name__ meta-label. and applied immediately. 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. Metric relabel configs are applied after scraping and before ingestion. To specify which configuration file to load, use the --config.file flag. input to a subsequent relabeling step), use the __tmp label name prefix. This can be used to filter metrics with high cardinality or route metrics to specific remote_write targets. their API. discovery mechanism. For users with thousands of Mixins are a set of preconfigured dashboards and alerts. Use Grafana to turn failure into resilience. The CloudWatch agent with Prometheus monitoring needs two configurations to scrape the Prometheus metrics. Please find below an example from other exporter (blackbox), but same logic applies for node exporter as well. The last relabeling rule drops all the metrics without {__keep="yes"} label. I'm not sure if that's helpful. prefix is guaranteed to never be used by Prometheus itself. (relabel_config) prometheus . changed with relabeling, as demonstrated in the Prometheus scaleway-sd For each published port of a service, a Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. "After the incident", I started to be more careful not to trip over things. This can be A static config has a list of static targets and any extra labels to add to them. ), the The following relabeling would remove all {subsystem=""} labels but keep other labels intact. To drop a specific label, select it using source_labels and use a replacement value of "". It does so by replacing the labels for scraped data by regexes with relabel_configs. If the endpoint is backed by a pod, all See the Prometheus marathon-sd configuration file For now, Prometheus Operator adds following labels automatically: endpoint, instance, namespace, pod, and service. This may be changed with relabeling. Its value is set to the 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. Denylisting: This involves dropping a set of high-cardinality unimportant metrics that you explicitly define, and keeping everything else. Robot API. To filter in more metrics for any default targets, edit the settings under default-targets-metrics-keep-list for the corresponding job you'd like to change. Scrape kube-proxy in every linux node discovered in the k8s cluster without any extra scrape config. could be used to limit which samples are sent. Aurora. This is often resolved by using metric_relabel_configs instead (the reverse has also happened, but it's far less common). 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. , __name__ () node_cpu_seconds_total mode idle (drop). 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. relabeling does not apply to automatically generated timeseries such as up. inside a Prometheus-enabled mesh. 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. For users with thousands of tasks it The endpoints role discovers targets from listed endpoints of a service. Lets start off with source_labels. One source of confusion around relabeling rules is that they can be found in multiple parts of a Prometheus config file. are published with mode=host. https://stackoverflow.com/a/64623786/2043385. Metric Using the write_relabel_config entry shown below, you can target the metric name using the __name__ label in combination with the instance name. Finally, the write_relabel_configs block applies relabeling rules to the data just before its sent to a remote endpoint. from the /metrics page) that you want to manipulate that's where metric_relabel_configs applies. 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. Latest Published: Jan 31, 2023 License: Apache-2.0 Imports: 18 Imported by: 2,025 Details Valid go.mod file Redistributable license Tagged version and serves as an interface to plug in custom service discovery mechanisms. Labels are sets of key-value pairs that allow us to characterize and organize whats actually being measured in a Prometheus metric. Where must be unique across all scrape configurations. 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. Prometheus Monitoring subreddit. type Config struct {GlobalConfig GlobalConfig `yaml:"global"` AlertingConfig AlertingConfig `yaml:"alerting,omitempty"` RuleFiles []string `yaml:"rule_files,omitempty"` ScrapeConfigs []*ScrapeConfig `yaml:"scrape_configs,omitempty"` . This configuration does not impact any configuration set in metric_relabel_configs or relabel_configs. See below for the configuration options for PuppetDB discovery: See this example Prometheus configuration file In many cases, heres where internal labels come into play. For each endpoint We must make sure that all metrics are still uniquely labeled after applying labelkeep and labeldrop rules. 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. 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