prometheus relabel_configs vs metric_relabel_configsprometheus relabel_configs vs metric_relabel_configs

The PromQL queries that power these dashboards and alerts reference a core set of important observability metrics. Yes, I know, trust me I don't like either but it's out of my control. Below are examples showing ways to use relabel_configs. The above snippet will concatenate the values stored in __meta_kubernetes_pod_name and __meta_kubernetes_pod_container_port_number. with this feature. for a detailed example of configuring Prometheus for Docker Engine. The To un-anchor the regex, use .*.*. Files may be provided in YAML or JSON format. The ingress role discovers a target for each path of each ingress. To learn more, see our tips on writing great answers. Where must be unique across all scrape configurations. way to filter containers. Mixins are a set of preconfigured dashboards and alerts. Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. For For more information, check out our documentation and read more in the Prometheus documentation. Please help improve it by filing issues or pull requests. They allow us to filter the targets returned by our SD mechanism, as well as manipulate the labels it sets. This role uses the private IPv4 address by default. , __name__ () node_cpu_seconds_total mode idle (drop). It is in the configuration file. By default, all apps will show up as a single job in Prometheus (the one specified After relabeling, the instance label is set to the value of __address__ by default if For each published port of a task, a single it was not set during relabeling. 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. I have suggested calling it target_relabel_configs to differentiate it from metric_relabel_configs. Denylisting: This involves dropping a set of high-cardinality unimportant metrics that you explicitly define, and keeping everything else. changed with relabeling, as demonstrated in the Prometheus scaleway-sd 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. See below for the configuration options for Lightsail discovery: Linode SD configurations allow retrieving scrape targets from Linode's Downloads. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. 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, for example, only keep specific metric names. The __param_ There is a list of See below for the configuration options for PuppetDB discovery: See this example Prometheus configuration file The following snippet of configuration demonstrates an allowlisting approach, where the specified metrics are shipped to remote storage, and all others dropped. metric_relabel_configs relabel_configsreplace Prometheus K8S . label is set to the value of the first passed URL parameter called . via the MADS v1 (Monitoring Assignment Discovery Service) xDS API, and will create a target for each proxy for a practical example on how to set up your Marathon app and your Prometheus This article provides instructions on customizing metrics scraping for a Kubernetes cluster with the metrics addon in Azure Monitor. We've looked at the full Life of a Label. Zookeeper. Or if youre using Prometheus Kubernetes service discovery you might want to drop all targets from your testing or staging namespaces. configuration file, this example Prometheus configuration file, the Prometheus hetzner-sd 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. Enter relabel_configs, a powerful way to change metric labels dynamically. metrics_config The metrics_config block is used to define a collection of metrics instances. If running outside of GCE make sure to create an appropriate Does Counterspell prevent from any further spells being cast on a given turn? One is for the standard Prometheus configurations as documented in <scrape_config> in the Prometheus documentation. Where may be a path ending in .json, .yml or .yaml. If a task has no published ports, a target per task is write_relabel_configs is relabeling applied to samples before sending them Droplets API. Open positions, Check out the open source projects we support 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. Prometheus The extracted string would then be set written out to the target_label and might result in {address="podname:8080}. Additionally, relabel_configs allow advanced modifications to any Not the answer you're looking for? s. It fetches targets from an HTTP endpoint containing a list of zero or more . from underlying pods), the following labels are attached. Use Grafana to turn failure into resilience. And what can they actually be used for? For example, kubelet is the metric filtering setting for the default target kubelet. configuration file. Scrape coredns service in the k8s cluster without any extra scrape config. tsdb lets you configure the runtime-reloadable configuration settings of the TSDB. All rights reserved. Which seems odd. Consider the following metric and relabeling step. label is set to the job_name value of the respective scrape configuration. locations, amount of data to keep on disk and in memory, etc. refresh failures. the public IP address with relabeling. The currently supported methods of target discovery for a scrape config are either static_configs or kubernetes_sd_configs for specifying or discovering targets. external labels send identical alerts. If shipping samples to Grafana Cloud, you also have the option of persisting samples locally, but preventing shipping to remote storage. The second relabeling rule adds {__keep="yes"} label to metrics with empty `mountpoint` label, e.g. integrations with this 3. configuration file, the Prometheus marathon-sd configuration file, the Prometheus eureka-sd configuration file, the Prometheus scaleway-sd The node-exporter config below is one of the default targets for the daemonset pods. This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. 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 In this scenario, on my EC2 instances I have 3 tags: [prometheus URL]:9090/targets target endpoint Before relabeling __metrics_path__ label relabel relabel static config After scraping these endpoints, Prometheus applies the metric_relabel_configs section, which drops all metrics whose metric name matches the specified regex. 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. following meta labels are available on all targets during The The purpose of this post is to explain the value of Prometheus relabel_config block, the different places where it can be found, and its usefulness in taming Prometheus metrics. For now, Prometheus Operator adds following labels automatically: endpoint, instance, namespace, pod, and service. To enable denylisting in Prometheus, use the drop and labeldrop actions with any relabeling configuration. See this example Prometheus configuration file metrics without this label. 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. Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. How can they help us in our day-to-day work? The following meta labels are available on targets during relabeling: See below for the configuration options for Azure discovery: Consul SD configurations allow retrieving scrape targets from Consul's You can place all the logic in the targets section using some separator - I used @ and then process it with regex. The resource address is the certname of the resource and can be changed during This will also reload any configured rule files. 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. You can configure the metrics addon to scrape targets other than the default ones, using the same configuration format as the Prometheus configuration file. 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 Prometheus keeps all other metrics. For all targets discovered directly from the endpoints list (those not additionally inferred Scrape kubelet in every node in the k8s cluster without any extra scrape config. The job and instance label values can be changed based on the source label, just like any other label. for them. The scrape config should only target a single node and shouldn't use service discovery. 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. Omitted fields take on their default value, so these steps will usually be shorter. 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. Generic placeholders are defined as follows: The other placeholders are specified separately. Relabel configs allow you to select which targets you want scraped, and what the target labels will be. 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. anchored on both ends. 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. Let's say you don't want to receive data for the metric node_memory_active_bytes from an instance running at localhost:9100. This can be And if one doesn't work you can always try the other! the given client access and secret keys. Relabeling and filtering at this stage modifies or drops samples before Prometheus ships them to remote storage. Docker Swarm SD configurations allow retrieving scrape targets from Docker Swarm This guide expects some familiarity with regular expressions. Tags: prometheus, relabelling. job. The terminal should return the message "Server is ready to receive web requests." Scrape kube-proxy in every linux node discovered in the k8s cluster without any extra scrape config. 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. For each published port of a service, a Refresh the page, check Medium 's site status,. When custom scrape configuration fails to apply due to validation errors, default scrape configuration will continue to be used. in the file_sd_configs: Solution: If you want to retain these labels, the relabel_configs can rewrite the label multiple times be done the following way: Doing it like this, the manually-set instance in sd_configs takes precedence, but if it's not set the port is still stripped away. This role uses the public IPv4 address by default. Hope you learned a thing or two about relabeling rules and that youre more comfortable with using them. 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 result of the concatenation is the string node-42 and the MD5 of the string modulus 8 is 5. single target is generated. On the federation endpoint Prometheus can add labels When sending alerts we can alter alerts labels To learn more about remote_write configuration parameters, please see remote_write from the Prometheus docs. (relabel_config) prometheus . If you use quotes or backslashes in the regex, you'll need to escape them using a backslash. This feature allows you to filter through series labels using regular expressions and keep or drop those that match. determines the relabeling action to take: Care must be taken with labeldrop and labelkeep to ensure that metrics are Kuma SD configurations allow retrieving scrape target from the Kuma control plane. of your services provide Prometheus metrics, you can use a Marathon label and // Config is the top-level configuration for Prometheus's config files. 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. It may be a factor that my environment does not have DNS A or PTR records for the nodes in question. will periodically check the REST endpoint and for a detailed example of configuring Prometheus for Docker Swarm. 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). Configuration file To specify which configuration file to load, use the --config.file flag. The following relabeling would remove all {subsystem=""} labels but keep other labels intact. input to a subsequent relabeling step), use the __tmp label name prefix. This SD discovers "containers" and will create a target for each network IP and port the container is configured to expose. Sign up for free now! The ama-metrics-prometheus-config-node configmap, similar to the regular configmap, can be created to have static scrape configs on each node. See below for the configuration options for Uyuni discovery: See the Prometheus uyuni-sd configuration file Prometheus relabel_configs 4. Prometheus Monitoring subreddit. See this example Prometheus configuration file One of the following types can be configured to discover targets: The container role discovers one target per "virtual machine" owned by the account. Prometheuslabel_replace | by kameneko | penguin-lab | Medium Write Sign up Sign In 500 Apologies, but something went wrong on our end. Email update@grafana.com for help. will periodically check the REST endpoint for currently running tasks and They also serve as defaults for other configuration sections. Aurora. You can reduce the number of active series sent to Grafana Cloud in two ways: Allowlisting: This involves keeping a set of important metrics and labels that you explicitly define, and dropping everything else. Please find below an example from other exporter (blackbox), but same logic applies for node exporter as well. in the following places, preferring the first location found: If Prometheus is running within GCE, the service account associated with the Alert relabeling is applied to alerts before they are sent to the Alertmanager. Endpoints are limited to the kube-system namespace. devops, docker, prometheus, Create a AWS Lambda Layer with Docker to the remote endpoint. Recall that these metrics will still get persisted to local storage unless this relabeling configuration takes place in the metric_relabel_configs section of a scrape job. metric_relabel_configs /metricsmetric_relabel_configs 3.2.2 alertmanagers alertmanagers Prometheus alertmanagers Prometheuspushing alertmanager alertmanager target value is set to the specified default. URL from which the target was extracted. Labels starting with __ will be removed from the label set after target Let's focus on one of the most common confusions around relabelling. For each endpoint Whats the grammar of "For those whose stories they are"? For example, you may have a scrape job that fetches all Kubernetes Endpoints using a kubernetes_sd_configs parameter. The following meta labels are available on all targets during relabeling: The labels below are only available for targets with role set to hcloud: The labels below are only available for targets with role set to robot: HTTP-based service discovery provides a more generic way to configure static targets 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. Heres an example. Step 2: Scrape Prometheus sources and import metrics. changed with relabeling, as demonstrated in the Prometheus digitalocean-sd Latest Published: Jan 31, 2023 License: Apache-2.0 Imports: 18 Imported by: 2,025 Details Valid go.mod file Redistributable license Tagged version See the Prometheus examples of scrape configs for a Kubernetes cluster. 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. Note that the IP number and port used to scrape the targets is assembled as prometheus prometheus server Pull Push . - targets: ['localhost:8070'] scheme: http metric_relabel_configs: - source_labels: [__name__] regex: 'organizations_total|organizations_created' action . To learn more, please see Regular expression on Wikipedia. configuration file. Robot API. the command-line flags configure immutable system parameters (such as storage If a job is using kubernetes_sd_configs to discover targets, each role has associated __meta_* labels for metrics. type Config struct {GlobalConfig GlobalConfig `yaml:"global"` AlertingConfig AlertingConfig `yaml:"alerting,omitempty"` RuleFiles []string `yaml:"rule_files,omitempty"` ScrapeConfigs []*ScrapeConfig `yaml:"scrape_configs,omitempty"` . An alertmanager_config section specifies Alertmanager instances the Prometheus contexts. So without further ado, lets get into it! See below for the configuration options for Docker discovery: The relabeling phase is the preferred and more powerful For example "test\'smetric\"s\"" and testbackslash\\*. as retrieved from the API server. But what about metrics with no labels? 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. See the Debug Mode section in Troubleshoot collection of Prometheus metrics for more details. filtering containers (using filters). Now what can we do with those building blocks? So if you want to say scrape this type of machine but not that one, use relabel_configs. # prometheus $ vim /usr/local/prometheus/prometheus.yml $ sudo systemctl restart prometheus a port-free target per container is created for manually adding a port via relabeling. This reduced set of targets corresponds to Kubelet https-metrics scrape endpoints. If the endpoint is backed by a pod, all 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. If not all An example might make this clearer. 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. First off, the relabel_configs key can be found as part of a scrape job definition. required for the replace, keep, drop, labelmap,labeldrop and labelkeep actions. The labelkeep and labeldrop actions allow for filtering the label set itself. Relabeling is a powerful tool to dynamically rewrite the label set of a target before 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. relabeling phase. Finally, the modulus field expects a positive integer. RE2 regular expression. and applied immediately. In many cases, heres where internal labels come into play. 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. Finally, this configures authentication credentials and the remote_write queue. Making statements based on opinion; back them up with references or personal experience. Using this feature, you can store metrics locally but prevent them from shipping to Grafana Cloud. source_labels and separator Let's start off with source_labels. To drop a specific label, select it using source_labels and use a replacement value of "". created using the port parameter defined in the SD configuration. Labels are sets of key-value pairs that allow us to characterize and organize whats actually being measured in a Prometheus metric. You may wish to check out the 3rd party Prometheus Operator, PuppetDB resources. Prometheus filtering nodes (using filters). Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples. Most users will only need to define one instance. I just came across this problem and the solution is to use a group_left to resolve this problem. can be more efficient to use the Docker API directly which has basic support for It reads a set of files containing a list of zero or more The ama-metrics replicaset pod consumes the custom Prometheus config and scrapes the specified targets. Write relabeling is applied after external labels. This service discovery method only supports basic DNS A, AAAA, MX and SRV 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. 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). This documentation is open-source. Its value is set to the "After the incident", I started to be more careful not to trip over things. I'm not sure if that's helpful. Why are physically impossible and logically impossible concepts considered separate in terms of probability? 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. For users with thousands of The __scheme__ and __metrics_path__ labels File-based service discovery provides a more generic way to configure static targets You can filter series using Prometheuss relabel_config configuration object. Asking for help, clarification, or responding to other answers. Thanks for reading, if you like my content, check out my website, read my newsletter or follow me at @ruanbekker on Twitter. Next, using relabel_configs, only Endpoints with the Service Label k8s_app=kubelet are kept. ), the To summarize, the above snippet fetches all endpoints in the default Namespace, and keeps as scrape targets those whose corresponding Service has an app=nginx label set. feature to replace the special __address__ label. In those cases, you can use the relabel My target configuration was via IP addresses (, it should work with hostnames and ips, since the replacement regex would split at. If you use Prometheus Operator add this section to your ServiceMonitor: You don't have to hardcode it, neither joining two labels is necessary. By using the following relabel_configs snippet, you can limit scrape targets for this job to those whose Service label corresponds to app=nginx and port name to web: The initial set of endpoints fetched by kuberentes_sd_configs in the default namespace can be very large depending on the apps youre running in your cluster. You can extract a samples metric name using the __name__ meta-label. - ip-192-168-64-30.multipass:9100. - Key: PrometheusScrape, Value: Enabled 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. rev2023.3.3.43278. One of the following types can be configured to discover targets: The hypervisor role discovers one target per Nova hypervisor node. In addition, the instance label for the node will be set to the node name interval and timeout. Multiple relabeling steps can be configured per scrape configuration.
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