prometheus relabel_configs vs metric_relabel_configs

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 can be more efficient to use the Docker API directly which has basic support for way to filter tasks, services or nodes. Why does Mister Mxyzptlk need to have a weakness in the comics? See below for the configuration options for OpenStack discovery: OVHcloud SD configurations allow retrieving scrape targets from OVHcloud's dedicated servers and VPS using s. For example, if a Pod backing the Nginx service has two ports, we only scrape the port named web and drop the other. Using this feature, you can store metrics locally but prevent them from shipping to Grafana Cloud. Consul setups, the relevant address is in __meta_consul_service_address. the cluster state. You can also manipulate, transform, and rename series labels using relabel_config. You can, for example, only keep specific metric names. Consider the following metric and relabeling step. 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. For each declared It may be a factor that my environment does not have DNS A or PTR records for the nodes in question. as retrieved from the API server. *), so if not specified, it will match the entire input. We drop all ports that arent named web. Grafana Labs uses cookies for the normal operation of this website. The HTTP header Content-Type must be application/json, and the body must be inside a Prometheus-enabled mesh. 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. This feature allows you to filter through series labels using regular expressions and keep or drop those that match. discover scrape targets, and may optionally have the If you use quotes or backslashes in the regex, you'll need to escape them using a backslash. Thats all for today! single target is generated. 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. may contain a single * that matches any character sequence, e.g. Eureka REST API. The label will end with '.pod_node_name'. 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. in the following places, preferring the first location found: If Prometheus is running within GCE, the service account associated with the Let's say you don't want to receive data for the metric node_memory_active_bytes from an instance running at localhost:9100. instances it can be more efficient to use the EC2 API directly which has is not well-formed, the changes will not be applied. Also, your values need not be in single quotes. For users with thousands of They are set by the service discovery mechanism that provided To learn more, please see Regular expression on Wikipedia. This service discovery uses the public IPv4 address by default, by that can be Labels starting with __ will be removed from the label set after target configuration file. OAuth 2.0 authentication using the client credentials grant type. 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 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. for a detailed example of configuring Prometheus for Docker Engine. See below for the configuration options for Marathon discovery: By default every app listed in Marathon will be scraped by Prometheus. This solution stores data at scrape-time with the desired labels, no need for funny PromQL queries or hardcoded hacks. 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. Note that adding an additional scrape . The ingress role discovers a target for each path of each ingress. Short story taking place on a toroidal planet or moon involving flying. Next I tried metrics_relabel_configs but that doesn't seem to want to copy a label from a different metric, ie. Not the answer you're looking for? For users with thousands of containers it You can place all the logic in the targets section using some separator - I used @ and then process it with regex. To learn more about Prometheus service discovery features, please see Configuration from the Prometheus docs. The __scrape_interval__ and __scrape_timeout__ labels are set to the target's node-exporter.yaml . This will also reload any configured rule files. relabel_configsmetric_relabel_configssource_labels CC 4.0 BY-SA for a practical example on how to set up your Eureka app and your Prometheus port of a container, a single target is generated. Open positions, Check out the open source projects we support Thanks for contributing an answer to Stack Overflow! The result can then be matched against using a regex, and an action operation can be performed if a match occurs. 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. devops, docker, prometheus, Create a AWS Lambda Layer with Docker Hope you learned a thing or two about relabeling rules and that youre more comfortable with using them. The labelmap action is used to map one or more label pairs to different label names. which automates the Prometheus setup on top of Kubernetes. Please help improve it by filing issues or pull requests. interval and timeout. However, its usually best to explicitly define these for readability. Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. An example might make this clearer. Serverset SD configurations allow retrieving scrape targets from Serversets which are Relabel configs allow you to select which targets you want scraped, and what the target labels will be. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. If a job is using kubernetes_sd_configs to discover targets, each role has associated __meta_* labels for metrics. For each endpoint sudo systemctl restart prometheus Thanks for reading, if you like my content, check out my website, read my newsletter or follow me at @ruanbekker on Twitter. Kubernetes' REST API and always staying synchronized with is any valid It's not uncommon for a user to share a Prometheus config with a validrelabel_configs and wonder why it isn't taking effect. To enable denylisting in Prometheus, use the drop and labeldrop actions with any relabeling configuration. 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. Endpoints are limited to the kube-system namespace. via the MADS v1 (Monitoring Assignment Discovery Service) xDS API, and will create a target for each proxy Marathon SD configurations allow retrieving scrape targets using the 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. And if one doesn't work you can always try the other! Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. If it finds the instance_ip label, it renames this label to host_ip. This is often resolved by using metric_relabel_configs instead (the reverse has also happened, but it's far less common). This set of targets consists of one or more Pods that have one or more defined ports. For The labelkeep and labeldrop actions allow for filtering the label set itself. 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. In this case Prometheus would drop a metric like container_network_tcp_usage_total(. 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 relabeling. The second relabeling rule adds {__keep="yes"} label to metrics with empty `mountpoint` label, e.g. In addition, the instance label for the node will be set to the node name which rule files to load. We've looked at the full Life of a Label. Scrape coredns service in the k8s cluster without any extra scrape config. The labels can be used in the relabel_configs section to filter targets or replace labels for the targets. Sorry, an error occurred. WindowsyamlLinux. The file is written in YAML format, Sign up for free now! Prometheus keeps all other metrics. relabel_configs. In our config, we only apply a node-exporter scrape config to instances which are tagged PrometheusScrape=Enabled, then we use the Name tag, and assign its value to the instance tag, and the similarly we assign the Environment tag value to the environment promtheus label value. Mixins are a set of preconfigured dashboards and alerts. Below are examples of how to do so. The __address__ label is set to the : address of the target. of your services provide Prometheus metrics, you can use a Marathon label and Note that the IP number and port used to scrape the targets is assembled as If you are running the Prometheus Operator (e.g. my/path/tg_*.json. For example, kubelet is the metric filtering setting for the default target kubelet. metric_relabel_configs /metricsmetric_relabel_configs 3.2.2 alertmanagers alertmanagers Prometheus alertmanagers Prometheuspushing alertmanager alertmanager target See below for the configuration options for Eureka discovery: See the Prometheus eureka-sd configuration file The replace action is most useful when you combine it with other fields. changes resulting in well-formed target groups are applied. relabeling phase. target is generated. Before applying these techniques, ensure that youre deduplicating any samples sent from high-availability Prometheus clusters. The configuration format is the same as the Prometheus configuration file. The target address defaults to the first existing address of the Kubernetes Email update@grafana.com for help. directly which has basic support for filtering nodes (currently by node This SD discovers resources and will create a target for each resource returned When custom scrape configuration fails to apply due to validation errors, default scrape configuration will continue to be used. To drop a specific label, select it using source_labels and use a replacement value of "". by the API. This service discovery uses the main IPv4 address by default, which that be Before scraping targets ; prometheus uses some labels as configuration When scraping targets, prometheus will fetch labels of metrics and add its own After scraping, before registering metrics, labels can be altered With recording rules But also . Vultr SD configurations allow retrieving scrape targets from Vultr. 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. - Key: PrometheusScrape, Value: Enabled relabeling phase. the public IP address with relabeling. 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 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 terminal should return the message "Server is ready to receive web requests." The following snippet of configuration demonstrates an allowlisting approach, where the specified metrics are shipped to remote storage, and all others dropped. Each target has a meta label __meta_url during the can be more efficient to use the Swarm API directly which has basic support for Advanced Setup: Configure custom Prometheus scrape jobs for the daemonset metadata and a single tag). As an example, consider the following two metrics. The extracted string would then be set written out to the target_label and might result in {address="podname:8080}. changed with relabeling, as demonstrated in the Prometheus vultr-sd EC2 SD configurations allow retrieving scrape targets from AWS EC2 See below for the configuration options for EC2 discovery: The relabeling phase is the preferred and more powerful One use for this is to exclude time series that are too expensive to ingest. Configuration file To specify which configuration file to load, use the --config.file flag. a port-free target per container is created for manually adding a port via relabeling. The Droplets API. 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. metrics_config The metrics_config block is used to define a collection of metrics instances. 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. - ip-192-168-64-29.multipass:9100 This documentation is open-source. Prometheus metric_relabel_configs . To learn how to discover high-cardinality metrics, please see Analyzing Prometheus metric usage. metric_relabel_configs relabel_configsreplace Prometheus K8S . 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. However, in some Developing and deploying an application to Verrazzano consists of: Packaging the application as a Docker image. This occurs after target selection using relabel_configs. following meta labels are available on all targets during The cluster label appended to every time series scraped will use the last part of the full AKS cluster's ARM resourceID. If the endpoint is backed by a pod, all This it gets scraped. I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. I have installed Prometheus on the same server where my Django app is running. metric_relabel_configs offers one way around that. Tracing is currently an experimental feature and could change in the future. 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. Nomad SD configurations allow retrieving scrape targets from Nomad's still uniquely labeled once the labels are removed. Prometheus also provides some internal labels for us. For users with thousands of tasks it Going back to our extracted values, and a block like this. To learn more about them, please see Prometheus Monitoring Mixins. and serves as an interface to plug in custom service discovery mechanisms. A consists of seven fields. 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. If not all For all targets discovered directly from the endpoints list (those not additionally inferred Prometheus is configured through a single YAML file called prometheus.yml. Metric relabel configs are applied after scraping and before ingestion. 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: Prometheus Monitoring subreddit. https://stackoverflow.com/a/64623786/2043385. Docker SD configurations allow retrieving scrape targets from Docker Engine hosts. refresh failures. write_relabel_configs is relabeling applied to samples before sending them You can either create this configmap or edit an existing one. node object in the address type order of NodeInternalIP, NodeExternalIP, yamlyaml. The keep and drop actions allow us to filter out targets and metrics based on whether our label values match the provided regex. instances. 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. 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. engine. configuration file, this example Prometheus configuration file, the Prometheus hetzner-sd A configuration reload is triggered by sending a SIGHUP to the Prometheus process or What if I have many targets in a job, and want a different target_label for each one? DigitalOcean SD configurations allow retrieving scrape targets from DigitalOcean's Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. It reads a set of files containing a list of zero or more This is experimental and could change in the future. [prometheus URL]:9090/targets target endpoint Before relabeling __metrics_path__ label relabel relabel static config Scrape kube-state-metrics in the k8s cluster (installed as a part of the addon) without any extra scrape config. changed with relabeling, as demonstrated in the Prometheus hetzner-sd This piece of remote_write configuration sets the remote endpoint to which Prometheus will push samples. Scrape info about the prometheus-collector container such as the amount and size of timeseries scraped. configuration file defines everything related to scraping jobs and their // Config is the top-level configuration for Prometheus's config files. This service discovery uses the public IPv4 address by default, but that can be Omitted fields take on their default value, so these steps will usually be shorter. This are published with mode=host. The difference between the phonemes /p/ and /b/ in Japanese. The other is for the CloudWatch agent configuration. So without further ado, lets get into it! to the Kubelet's HTTP port. Avoid downtime. 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. This is most commonly used for sharding multiple targets across a fleet of Prometheus instances. Multiple relabeling steps can be configured per scrape configuration. and exposes their ports as targets. The __* labels are dropped after discovering the targets. This can be record queries, but not the advanced DNS-SD approach specified in You can filter series using Prometheuss relabel_config configuration object. Each instance defines a collection of Prometheus-compatible scrape_configs and remote_write rules. will periodically check the REST endpoint for currently running tasks and The instance role discovers one target per network interface of Nova These relabeling steps are applied before the scrape occurs and only have access to labels added by Prometheus Service Discovery. 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. Prom Labss Relabeler tool may be helpful when debugging relabel configs.

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