prometheus relabel_configs vs metric_relabel_configs

This reduced set of targets corresponds to Kubelet https-metrics scrape endpoints. See below for the configuration options for Triton discovery: Eureka SD configurations allow retrieving scrape targets using the Default targets are scraped every 30 seconds. for a detailed example of configuring Prometheus for Docker Swarm. Relabelling. So the solution I used is to combine an existing value containing what we want (the hostnmame) with a metric from the node exporter. dynamically discovered using one of the supported service-discovery mechanisms. relabeling: Kubernetes SD configurations allow retrieving scrape targets from The __meta_dockerswarm_network_* meta labels are not populated for ports which Omitted fields take on their default value, so these steps will usually be shorter. Published by Brian Brazil in Posts. determines the relabeling action to take: Care must be taken with labeldrop and labelkeep to ensure that metrics are by the API. Find centralized, trusted content and collaborate around the technologies you use most. 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 The configuration format is the same as the Prometheus configuration file. Robot API. One is for the standard Prometheus configurations as documented in <scrape_config> in the Prometheus documentation. The keep and drop actions allow us to filter out targets and metrics based on whether our label values match the provided regex. Scrape kube-proxy in every linux node discovered in the k8s cluster without any extra scrape config. Changes to all defined files are detected via disk watches My target configuration was via IP addresses (, it should work with hostnames and ips, since the replacement regex would split at. As an example, consider the following two metrics. This This can be 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). 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. from the /metrics page) that you want to manipulate that's where metric_relabel_configs applies. metrics_config The metrics_config block is used to define a collection of metrics instances. In other words, its metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels. will periodically check the REST endpoint for currently running tasks and Triton SD configurations allow retrieving Lightsail SD configurations allow retrieving scrape targets from AWS Lightsail DigitalOcean SD configurations allow retrieving scrape targets from DigitalOcean's There is a small demo of how to use A scrape_config section specifies a set of targets and parameters describing how vmagent can accept metrics in various popular data ingestion protocols, apply relabeling to the accepted metrics (for example, change metric names/labels or drop unneeded metrics) and then forward the relabeled metrics to other remote storage systems, which support Prometheus remote_write protocol (including other vmagent instances). Scaleway SD configurations allow retrieving scrape targets from Scaleway instances and baremetal services. my/path/tg_*.json. Which is frowned on by upstream as an "antipattern" because apparently there is an expectation that instance be the only label whose value is unique across all metrics in the job. The service role discovers a target for each service port for each service. This can be Any relabel_config must have the same general structure: These default values should be modified to suit your relabeling use case. 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. 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. Multiple relabeling steps can be configured per scrape configuration. Consider the following metric and relabeling step. for a detailed example of configuring Prometheus for Docker Engine. It is 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. The default regex value is (. The private IP address is used by default, but may be changed to One use for this is to exclude time series that are too expensive to ingest. Yes, I know, trust me I don't like either but it's out of my control. One source of confusion around relabeling rules is that they can be found in multiple parts of a Prometheus config file. DNS servers to be contacted are read from /etc/resolv.conf. In those cases, you can use the relabel defined by the scheme described below. users with thousands of services it can be more efficient to use the Consul API way to filter targets based on arbitrary labels. Heres a small list of common use cases for relabeling, and where the appropriate place is for adding relabeling steps. tsdb lets you configure the runtime-reloadable configuration settings of the TSDB. 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. Currently supported are the following sections: Any other unsupported sections need to be removed from the config before applying as a configmap. The following snippet of configuration demonstrates an allowlisting approach, where the specified metrics are shipped to remote storage, and all others dropped. A configuration reload is triggered by sending a SIGHUP to the Prometheus process or So ultimately {__tmp=5} would be appended to the metrics label set. Sorry, an error occurred. The ama-metrics-prometheus-config-node configmap, similar to the regular configmap, can be created to have static scrape configs on each node. Labels are sets of key-value pairs that allow us to characterize and organize whats actually being measured in a Prometheus metric. Not the answer you're looking for? where should i use this in prometheus? Monitoring Docker container metrics using cAdvisor, Use file-based service discovery to discover scrape targets, Understanding and using the multi-target exporter pattern, Monitoring Linux host metrics with the Node Exporter, the Prometheus digitalocean-sd In advanced configurations, this may change. The global configuration specifies parameters that are valid in all other configuration their API. locations, amount of data to keep on disk and in memory, etc. This SD discovers resources and will create a target for each resource returned Serversets are commonly may contain a single * that matches any character sequence, e.g. See below for the configuration options for Lightsail discovery: Linode SD configurations allow retrieving scrape targets from Linode's If it finds the instance_ip label, it renames this label to host_ip. 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. If you are running the Prometheus Operator (e.g. Relabeling relabeling Prometheus Relabel The __address__ label is set to the : address of the target. . Thats all for today! Lets start off with source_labels. Much of the content here also applies to Grafana Agent users. and exposes their ports as targets. The last relabeling rule drops all the metrics without {__keep="yes"} label. This set of targets consists of one or more Pods that have one or more defined ports. This will also reload any configured rule files. view raw prometheus.yml hosted with by GitHub , Prometheus . The extracted string would then be set written out to the target_label and might result in {address="podname:8080}. Downloads. 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: Since weve used default regex, replacement, action, and separator values here, they can be omitted for brevity. An example might make this clearer. Read more. Of course, we can do the opposite and only keep a specific set of labels and drop everything else. This service discovery method only supports basic DNS A, AAAA, MX and SRV The resource address is the certname of the resource and can be changed during the cluster state. To specify which configuration file to load, use the --config.file flag. It may be a factor that my environment does not have DNS A or PTR records for the nodes in question. Downloads. 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. See this example Prometheus configuration file Connect and share knowledge within a single location that is structured and easy to search. to scrape them. The target address defaults to the first existing address of the Kubernetes Finally, this configures authentication credentials and the remote_write queue. configuration file. 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. See below for the configuration options for Docker discovery: The relabeling phase is the preferred and more powerful For each published port of a service, a Use Grafana to turn failure into resilience. One use for this is ensuring a HA pair of Prometheus servers with different But what about metrics with no labels? This configuration does not impact any configuration set in metric_relabel_configs or relabel_configs. Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. r/kubernetes I've been collecting a list of k8s/container tools and sorting them by the number of stars in Github, so far the most complete k8s/container list I know of with almost 250 entries - hoping this is useful for someone else besides me - looking for feedback, ideas for improvement and contributors ec2:DescribeAvailabilityZones permission if you want the availability zone ID IONOS SD configurations allows retrieving scrape targets from After scraping these endpoints, Prometheus applies the metric_relabel_configs section, which drops all metrics whose metric name matches the specified regex. The hashmod action provides a mechanism for horizontally scaling Prometheus. Use metric_relabel_configs in a given scrape job to select which series and labels to keep, and to perform any label replacement operations. I see that the node exporter provides the metric node_uname_info that contains the hostname, but how do I extract it from there? Additional config for this answer: Only You can configure the metrics addon to scrape targets other than the default ones, using the same configuration format as the Prometheus configuration file. contexts. Weve come a long way, but were finally getting somewhere. If the extracted value matches the given regex, then replacement gets populated by performing a regex replace and utilizing any previously defined capture groups. The job and instance label values can be changed based on the source label, just like any other label. They are applied to the label set of each target in order of their appearance If a relabeling step needs to store a label value only temporarily (as the How do I align things in the following tabular environment? The node-exporter config below is one of the default targets for the daemonset pods. Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples. label is set to the value of the first passed URL parameter called . IONOS Cloud API. To un-anchor the regex, use .*.*. Latest Published: Jan 31, 2023 License: Apache-2.0 Imports: 18 Imported by: 2,025 Details Valid go.mod file Redistributable license Tagged version devops, docker, prometheus, Create a AWS Lambda Layer with Docker 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. created using the port parameter defined in the SD configuration. Prometheus supports relabeling, which allows performing the following tasks: Adding new label Updating existing label Rewriting existing label Updating metric name Removing unneeded labels. Prometheus queries: How to give a default label when it is missing? integrations 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 Additional labels prefixed with __meta_ may be available during the which automates the Prometheus setup on top of Kubernetes. Configuration file To specify which configuration file to load, use the --config.file flag. compute resources. May 29, 2017. way to filter tasks, services or nodes. The nodes role is used to discover Swarm nodes. The endpoints role discovers targets from listed endpoints of a service. For example, if a Pod backing the Nginx service has two ports, we only scrape the port named web and drop the other.

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