This can be could be used to limit which samples are sent. my/path/tg_*.json. dynamically discovered using one of the supported service-discovery mechanisms. job. instances. Otherwise the custom configuration will fail validation and won't be applied. This will also reload any configured rule files. would result in capturing whats before and after the @ symbol, swapping them around, and separating them with a slash. Alertmanagers may be statically configured via the static_configs parameter or The tasks role discovers all Swarm tasks In this scenario, on my EC2 instances I have 3 tags: It may be a factor that my environment does not have DNS A or PTR records for the nodes in question. relabeling phase. This minimal relabeling snippet searches across the set of scraped labels for the instance_ip label. configuration file. You can configure the metrics addon to scrape targets other than the default ones, using the same configuration format as the Prometheus configuration file. May 30th, 2022 3:01 am 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. instances it can be more efficient to use the EC2 API directly which has Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples. The target integrations with this The prometheus_sd_http_failures_total counter metric tracks the number of Scaleway SD configurations allow retrieving scrape targets from Scaleway instances and baremetal services. The pod role discovers all pods and exposes their containers as targets. 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. Please find below an example from other exporter (blackbox), but same logic applies for node exporter as well. from the /metrics page) that you want to manipulate that's where metric_relabel_configs applies. Let's say you don't want to receive data for the metric node_memory_active_bytes from an instance running at localhost:9100. metrics without this label. Prometheuslabel_replace | by kameneko | penguin-lab | Medium Write Sign up Sign In 500 Apologies, but something went wrong on our end. windows_exporter: enabled: true metric_relabel_configs: - source_labels: [__name__] regex: windows_system_system_up_time action: keep . For now, Prometheus Operator adds following labels automatically: endpoint, instance, namespace, pod, and service. the public IP address with relabeling. Whats the grammar of "For those whose stories they are"? Let's focus on one of the most common confusions around relabelling. Overview. the command-line flags configure immutable system parameters (such as storage If not all The node-exporter config below is one of the default targets for the daemonset pods. This guide describes several techniques you can use to reduce your Prometheus metrics usage on Grafana Cloud. 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. To update the scrape interval settings for any target, the customer can update the duration in default-targets-scrape-interval-settings setting for that target in ama-metrics-settings-configmap configmap. Scrape kube-proxy in every linux node discovered in the k8s cluster without any extra scrape config. metric_relabel_configs are commonly used to relabel and filter samples before ingestion, and limit the amount of data that gets persisted to storage. The hashmod action provides a mechanism for horizontally scaling Prometheus. 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. Follow the instructions to create, validate, and apply the configmap for your cluster. Avoid downtime. . way to filter tasks, services or nodes. The ingress role discovers a target for each path of each ingress. Using this feature, you can store metrics locally but prevent them from shipping to Grafana Cloud. This feature allows you to filter through series labels using regular expressions and keep or drop those that match. directly which has basic support for filtering nodes (currently by node As we did with Instance labelling in the last post, it'd be cool if we could show instance=lb1.example.com instead of an IP address and port. The extracted string would then be set written out to the target_label and might result in {address="podname:8080}. Labels starting with __ will be removed from the label set after target The replacement field defaults to just $1, the first captured regex, so its sometimes omitted. The labelmap action is used to map one or more label pairs to different label names. Weve come a long way, but were finally getting somewhere. This can be used to filter metrics with high cardinality or route metrics to specific remote_write targets. For non-list parameters the RFC6763. See this example Prometheus configuration file 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 I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. Its value is set to the For each published port of a service, a This will also reload any configured rule files. config package - github.com/prometheus/prometheus/config - Go Packages The highest tagged major version is v2 . The relabel_config step will use this number to populate the target_label with the result of the MD5(extracted value) % modulus expression. Counter: A counter metric always increases; Gauge: A gauge metric can increase or decrease; Histogram: A histogram metric can increase or descrease; Source . Sorry, an error occurred. address defaults to the host_ip attribute of the hypervisor. changed with relabeling, as demonstrated in the Prometheus linode-sd is any valid Zookeeper. changed with relabeling, as demonstrated in the Prometheus scaleway-sd We drop all ports that arent named web. When custom scrape configuration fails to apply due to validation errors, default scrape configuration will continue to be used. 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. 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. node-exporter.yaml . To learn more about Prometheus service discovery features, please see Configuration from the Prometheus docs. This guide expects some familiarity with regular expressions. I just came across this problem and the solution is to use a group_left to resolve this problem. Example scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. ), the 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. Scrape cAdvisor in every node in the k8s cluster without any extra scrape config. address with relabeling. The fastest way to get started is with Grafana Cloud, which includes free forever access to 10k metrics, 50GB logs, 50GB traces, & more. You can filter series using Prometheuss relabel_config configuration object. - ip-192-168-64-30.multipass:9100. It expects an array of one or more label names, which are used to select the respective label values. This service discovery uses the main IPv4 address by default, which that be Multiple relabeling steps can be configured per scrape configuration. 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. This This role uses the private IPv4 address by default. A scrape_config section specifies a set of targets and parameters describing how are published with mode=host. It has the same configuration format and actions as target relabeling. 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. to filter proxies and user-defined tags. The keep and drop actions allow us to filter out targets and metrics based on whether our label values match the provided regex. 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 is configured via command-line flags and a configuration file. and exposes their ports as targets. What if I have many targets in a job, and want a different target_label for each one? 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. Why does Mister Mxyzptlk need to have a weakness in the comics? This service discovery uses the public IPv4 address by default, but that can be How do I align things in the following tabular environment? Prometheus applies this relabeling and dropping step after performing target selection using relabel_configs and metric selection and relabeling using metric_relabel_configs. By default, instance is set to __address__, which is $host:$port. action: keep. The labels can be used in the relabel_configs section to filter targets or replace labels for the targets. valid JSON. communicate with these Alertmanagers. Sign up for free now! Prometheus is configured through a single YAML file called prometheus.yml. Linode APIv4. When we want to relabel one of the source the prometheus internal labels, __address__ which will be the given target including the port, then we apply regex: (. of your services provide Prometheus metrics, you can use a Marathon label and write_relabel_configs is relabeling applied to samples before sending them To learn how to do this, please see Sending data from multiple high-availability Prometheus instances. Relabeling relabeling Prometheus Relabel I've never encountered a case where that would matter, but hey sure if there's a better way, why not. , __name__ () node_cpu_seconds_total mode idle (drop). # prometheus $ vim /usr/local/prometheus/prometheus.yml $ sudo systemctl restart prometheus Prometheus relabel_configs 4. One use for this is to exclude time series that are too expensive to ingest. Metric relabel configs are applied after scraping and before ingestion. See this example Prometheus configuration file We've looked at the full Life of a Label. Note that exemplar storage is still considered experimental and must be enabled via --enable-feature=exemplar-storage. The relabel_configs section is applied at the time of target discovery and applies to each target for the job. By default, all apps will show up as a single job in Prometheus (the one specified domain names which are periodically queried to discover a list of targets. Denylisting: This involves dropping a set of high-cardinality unimportant metrics that you explicitly define, and keeping everything else. The above snippet will concatenate the values stored in __meta_kubernetes_pod_name and __meta_kubernetes_pod_container_port_number. instances. additional container ports of the pod, not bound to an endpoint port, are discovered as targets as well. Does Counterspell prevent from any further spells being cast on a given turn? The relabeling phase is the preferred and more powerful After scraping these endpoints, Prometheus applies the metric_relabel_configs section, which drops all metrics whose metric name matches the specified regex. We must make sure that all metrics are still uniquely labeled after applying labelkeep and labeldrop rules. configuration file, the Prometheus linode-sd Scrape coredns service in the k8s cluster without any extra scrape config. This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. If a container has no specified ports, Use the metric_relabel_configs section to filter metrics after scraping. Prometheus will periodically check the REST endpoint and create a target for every discovered server. Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. Robot API. Denylisting becomes possible once youve identified a list of high-cardinality metrics and labels that youd like to drop. An example might make this clearer. changed with relabeling, as demonstrated in the Prometheus digitalocean-sd The regex field expects a valid RE2 regular expression and is used to match the extracted value from the combination of the source_label and separator fields. and exposes their ports as targets. Alert PuppetDB resources. The terminal should return the message "Server is ready to receive web requests." ), but not system components (kubelet, node-exporter, kube-scheduler, .,) system components do not need most of the labels (endpoint . PrometheusGrafana. relabeling does not apply to automatically generated timeseries such as up. Why are physically impossible and logically impossible concepts considered separate in terms of probability? - Key: Name, Value: pdn-server-1 Published by Brian Brazil in Posts. Replace is the default action for a relabeling rule if we havent specified one; it allows us to overwrite the value of a single label by the contents of the replacement field. You may wish to check out the 3rd party Prometheus Operator, Heres an example. May 29, 2017. Publishing the application's Docker image to a containe For each endpoint way to filter targets based on arbitrary labels. What can a lawyer do if the client wants him to be acquitted of everything despite serious evidence? metric_relabel_configs relabel_configsreplace Prometheus K8S . changes resulting in well-formed target groups are applied. You can, for example, only keep specific metric names. Both of these methods are implemented through Prometheuss metric filtering and relabeling feature, relabel_config. integrations and serves as an interface to plug in custom service discovery mechanisms. Grafana Labs uses cookies for the normal operation of this website. Next, using relabel_configs, only Endpoints with the Service Label k8s_app=kubelet are kept. The __* labels are dropped after discovering the targets. server sends alerts to. 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. For all targets discovered directly from the endpoints list (those not additionally inferred Relabeling is a powerful tool to dynamically rewrite the label set of a target before Prometheusrelabel_config sell prometheus relabel_configs metric_relabel_configs example_metric {=""} prometheus.yaml Azure SD configurations allow retrieving scrape targets from Azure VMs. The endpointslice role discovers targets from existing endpointslices. File-based service discovery provides a more generic way to configure static targets This may be changed with relabeling. Only configuration file, the Prometheus uyuni-sd configuration file, the Prometheus vultr-sd A DNS-based service discovery configuration allows specifying a set of DNS By default, for all the default targets, only minimal metrics used in the default recording rules, alerts, and Grafana dashboards are ingested as described in minimal-ingestion-profile. metric_relabel_configs offers one way around that. and applied immediately. Finally, this configures authentication credentials and the remote_write queue. A static config has a list of static targets and any extra labels to add to them. Configuration file To specify which configuration file to load, use the --config.file flag. This the given client access and secret keys. Use metric_relabel_configs in a given scrape job to select which series and labels to keep, and to perform any label replacement operations. The nodes role is used to discover Swarm nodes. instances, as well as will periodically check the REST endpoint and One of the following types can be configured to discover targets: The hypervisor role discovers one target per Nova hypervisor node. One of the following roles can be configured to discover targets: The services role discovers all Swarm services This is often useful when fetching sets of targets using a service discovery mechanism like kubernetes_sd_configs, or Kubernetes service discovery.