prometheus relabel_configs vs metric_relabel_configs

The endpoints role discovers targets from listed endpoints of a service. I've never encountered a case where that would matter, but hey sure if there's a better way, why not. Prometheus Monitoring subreddit. 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. For users with thousands of tasks it Denylisting becomes possible once youve identified a list of high-cardinality metrics and labels that youd like to drop. used by Finagle and By default, instance is set to __address__, which is $host:$port. RE2 regular expression. The file is written in YAML format, - targets: ['localhost:8070'] scheme: http metric_relabel_configs: - source_labels: [__name__] regex: 'organizations_total|organizations_created' action . discovery endpoints. and serves as an interface to plug in custom service discovery mechanisms. 1Prometheus. Finally, this configures authentication credentials and the remote_write queue. This solution stores data at scrape-time with the desired labels, no need for funny PromQL queries or hardcoded hacks. 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. tracing_config configures exporting traces from Prometheus to a tracing backend via the OTLP protocol. The scrape config below uses the __meta_* labels added from the kubernetes_sd_configs for the pod role to filter for pods with certain annotations. discover scrape targets, and may optionally have the Since kubernetes_sd_configs will also add any other Pod ports as scrape targets (with role: endpoints), we need to filter these out using the __meta_kubernetes_endpoint_port_name relabel config. for a detailed example of configuring Prometheus for Docker Swarm. interface. Scrape node metrics without any extra scrape config. This configuration does not impact any configuration set in metric_relabel_configs or relabel_configs. refresh interval. entities and provide advanced modifications to the used API path, which is exposed [prometheus URL]:9090/targets target endpoint Before relabeling __metrics_path__ label relabel relabel static config This minimal relabeling snippet searches across the set of scraped labels for the instance_ip label. Next, using relabel_configs, only Endpoints with the Service Label k8s_app=kubelet are kept. Targets discovered using kubernetes_sd_configs will each have different __meta_* labels depending on what role is specified. To un-anchor the regex, use .*.*. I just came across this problem and the solution is to use a group_left to resolve this problem. One is for the standard Prometheus configurations as documented in <scrape_config> in the Prometheus documentation. - Key: Name, Value: pdn-server-1 A consists of seven fields. Prometheus Authors 2014-2023 | Documentation Distributed under CC-BY-4.0. This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. The private IP address is used by default, but may be changed to 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. Each target has a meta label __meta_filepath during the Initially, aside from the configured per-target labels, a target's job This service discovery uses the public IPv4 address by default, but that can be Prometheus K8SYaml K8S 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.). Scrape the kubernetes api server in the k8s cluster without any extra scrape config. Next I tried metrics_relabel_configs but that doesn't seem to want to copy a label from a different metric, ie. determines the relabeling action to take: Care must be taken with labeldrop and labelkeep to ensure that metrics are Some of these special labels available to us are. 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. 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. refresh failures. This piece of remote_write configuration sets the remote endpoint to which Prometheus will push samples. Robot API. Email update@grafana.com for help. Its value is set to the Catalog API. Sign up for free now! Posted by Ruan Please help improve it by filing issues or pull requests. 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. But what about metrics with no labels? 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. https://stackoverflow.com/a/64623786/2043385. Use the metric_relabel_configs section to filter metrics after scraping. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. changed with relabeling, as demonstrated in the Prometheus digitalocean-sd changes resulting in well-formed target groups are applied. Alertmanagers may be statically configured via the static_configs parameter or integrations Omitted fields take on their default value, so these steps will usually be shorter. Endpoints are limited to the kube-system namespace. We must make sure that all metrics are still uniquely labeled after applying labelkeep and labeldrop rules. So as a simple rule of thumb: relabel_config happens before the scrape,metric_relabel_configs happens after the scrape. 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. Consul setups, the relevant address is in __meta_consul_service_address. Thats all for today! This is generally useful for blackbox monitoring of a service. Each instance defines a collection of Prometheus-compatible scrape_configs and remote_write rules. One use for this is ensuring a HA pair of Prometheus servers with different configuration file. The HTTP header Content-Type must be application/json, and the body must be label is set to the value of the first passed URL parameter called . 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 If the new configuration Service API. *) regex captures the entire label value, replacement references this capture group, $1, when setting the new target_label. In addition, the instance label for the node will be set to the node name Below are examples of how to do so. Tracing is currently an experimental feature and could change in the future. See below for the configuration options for OVHcloud discovery: PuppetDB SD configurations allow retrieving scrape targets from Only However, in some This SD discovers "monitoring assignments" based on Kuma Dataplane Proxies, In other words, its metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels. in the following places, preferring the first location found: If Prometheus is running within GCE, the service account associated with the ), but not system components (kubelet, node-exporter, kube-scheduler, .,) system components do not need most of the labels (endpoint . Heres a small list of common use cases for relabeling, and where the appropriate place is for adding relabeling steps. Remote development environments that secure your source code and sensitive data Which seems odd. An additional scrape config uses regex evaluation to find matching services en masse, and targets a set of services based on label, annotation, namespace, or name. Open positions, Check out the open source projects we support 2023 The Linux Foundation. kube-state-metricsAPI ServerDeploymentNodePodkube-state-metricsmetricsPrometheus . stored in Zookeeper. To bulk drop or keep labels, use the labelkeep and labeldrop actions. Omitted fields take on their default value, so these steps will usually be shorter. Azure SD configurations allow retrieving scrape targets from Azure VMs. changed with relabeling, as demonstrated in the Prometheus scaleway-sd The default regex value is (. instances. Example scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. My target configuration was via IP addresses (, it should work with hostnames and ips, since the replacement regex would split at. RFC6763. This documentation is open-source. 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. Use __address__ as the source label only because that label will always exist and will add the label for every target of the job. 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. How can I 'join' two metrics in a Prometheus query? May 30th, 2022 3:01 am To learn more about remote_write configuration parameters, please see remote_write from the Prometheus docs. What sort of strategies would a medieval military use against a fantasy giant? metric_relabel_configs by contrast are applied after the scrape has happened, but before the data is ingested by the storage system. to the Kubelet's HTTP port. 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. These relabeling steps are applied before the scrape occurs and only have access to labels added by Prometheus Service Discovery. 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. 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. The hashmod action provides a mechanism for horizontally scaling Prometheus. Marathon REST API. Using the write_relabel_config entry shown below, you can target the metric name using the __name__ label in combination with the instance name. The cluster label appended to every time series scraped will use the last part of the full AKS cluster's ARM resourceID.

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