The hashmod action provides a mechanism for horizontally scaling Prometheus. If the relabel action results in a value being written to some label, target_label defines to which label the replacement should be written. How do I align things in the following tabular environment? 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. configuration file. To collect all metrics from default targets, in the configmap under default-targets-metrics-keep-list, set minimalingestionprofile to false. - Key: Name, Value: pdn-server-1 It may be a factor that my environment does not have DNS A or PTR records for the nodes in question. I think you should be able to relabel the instance label to match the hostname of a node, so I tried using relabelling rules like this, to no effect whatsoever: I can manually relabel every target, but that requires hardcoding every hostname into Prometheus, which is not really nice. Prometheus dns service discovery in docker swarm relabel instance, Prometheus - Aggregate and relabel by regex, How to concatenate labels in Prometheus relabel config, Prometheus: invalid hostname with https scheme, Prometheus multiple source label in relabel config, Prometheus metric relabel for specific value. Zookeeper. 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. So let's shine some light on these two configuration options. Denylisting: This involves dropping a set of high-cardinality unimportant metrics that you explicitly define, and keeping everything else. sudo systemctl restart prometheus In this case Prometheus would drop a metric like container_network_tcp_usage_total(. domain names which are periodically queried to discover a list of targets. the public IP address with relabeling. Next I tried metrics_relabel_configs but that doesn't seem to want to copy a label from a different metric, ie. 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. Now what can we do with those building blocks? 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: 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. There are Mixins for Kubernetes, Consul, Jaeger, and much more. changed with relabeling, as demonstrated in the Prometheus digitalocean-sd as retrieved from the API server. 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. Avoid downtime. After scraping these endpoints, Prometheus applies the metric_relabel_configs section, which drops all metrics whose metric name matches the specified regex. For each endpoint It reads a set of files containing a list of zero or more Scrape info about the prometheus-collector container such as the amount and size of timeseries scraped. The default regex value is (. way to filter services or nodes for a service based on arbitrary labels. the target and vary between mechanisms. Below are examples of how to do so. By default, instance is set to __address__, which is $host:$port. . You may wish to check out the 3rd party Prometheus Operator, Hetzner SD configurations allow retrieving scrape targets from Going back to our extracted values, and a block like this. 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. Downloads. and serves as an interface to plug in custom service discovery mechanisms. The following snippet of configuration demonstrates an allowlisting approach, where the specified metrics are shipped to remote storage, and all others dropped. are set to the scheme and metrics path of the target respectively. The relabel_config step will use this number to populate the target_label with the result of the MD5(extracted value) % modulus expression. These relabeling steps are applied before the scrape occurs and only have access to labels added by Prometheus Service Discovery. Omitted fields take on their default value, so these steps will usually be shorter. This can be useful when local Prometheus storage is cheap and plentiful, but the set of metrics shipped to remote storage requires judicious curation to avoid excess costs. 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: (. has the same configuration format and actions as target relabeling. This is often resolved by using metric_relabel_configs instead (the reverse has also happened, but it's far less common). 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. 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. The default Prometheus configuration file contains the following two relabeling configurations: - action: replace source_labels: [__meta_kubernetes_pod_uid] target_label: sysdig_k8s_pod_uid - action: replace source_labels: [__meta_kubernetes_pod_container_name] target_label: sysdig_k8s_pod_container_name The endpointslice role discovers targets from existing endpointslices. I see that the node exporter provides the metric node_uname_info that contains the hostname, but how do I extract it from there? If the endpoint is backed by a pod, all 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 configuration file, this example Prometheus configuration file, the Prometheus hetzner-sd my/path/tg_*.json. The endpoints role discovers targets from listed endpoints of a service. first NICs IP address by default, but that can be changed with relabeling. A static config has a list of static targets and any extra labels to add to them. filtering containers (using filters). The following table has a list of all the default targets that the Azure Monitor metrics addon can scrape by default and whether it's initially enabled. 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. In many cases, heres where internal labels come into play. 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 . I have suggested calling it target_relabel_configs to differentiate it from metric_relabel_configs. Each target has a meta label __meta_url during the This reduced set of targets corresponds to Kubelet https-metrics scrape endpoints. This will cut your active series count in half. It is the canonical way to specify static targets in a scrape will periodically check the REST endpoint for currently running tasks and 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 Thanks for reading, if you like my content, check out my website, read my newsletter or follow me at @ruanbekker on Twitter. still uniquely labeled once the labels are removed. The target address defaults to the private IP address of the network Since the (. To learn more about them, please see Prometheus Monitoring Mixins. changed with relabeling, as demonstrated in the Prometheus scaleway-sd is any valid 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. Alertmanagers may be statically configured via the static_configs parameter or The regex supports parenthesized capture groups which can be referred to later on. First off, the relabel_configs key can be found as part of a scrape job definition. address one target is discovered per port. configuration file defines everything related to scraping jobs and their See the Prometheus examples of scrape configs for a Kubernetes cluster. You can place all the logic in the targets section using some separator - I used @ and then process it with regex. Kuma SD configurations allow retrieving scrape target from the Kuma control plane. To specify which configuration file to load, use the --config.file flag. For readability its usually best to explicitly define a relabel_config. instance. By default, all apps will show up as a single job in Prometheus (the one specified 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. Use __address__ as the source label only because that label will always exist and will add the label for every target of the job. Use metric_relabel_configs in a given scrape job to select which series and labels to keep, and to perform any label replacement operations. - ip-192-168-64-29.multipass:9100 Scrape cAdvisor in every node in the k8s cluster without any extra scrape config. To enable allowlisting in Prometheus, use the keep and labelkeep actions with any relabeling configuration. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. metric_relabel_configs are commonly used to relabel and filter samples before ingestion, and limit the amount of data that gets persisted to storage. Relabeling 4.1 . Lets start off with source_labels. from the /metrics page) that you want to manipulate that's where metric_relabel_configs applies. Next, using relabel_configs, only Endpoints with the Service Label k8s_app=kubelet are kept. You can filter series using Prometheuss relabel_config configuration object. It's not uncommon for a user to share a Prometheus config with a validrelabel_configs and wonder why it isn't taking effect. can be more efficient to use the Swarm API directly which has basic support for 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). Also, your values need not be in single quotes. Prometheus fetches an access token from the specified endpoint with It I've never encountered a case where that would matter, but hey sure if there's a better way, why not. For more information, check out our documentation and read more in the Prometheus documentation. This is generally useful for blackbox monitoring of an ingress. , __name__ () node_cpu_seconds_total mode idle (drop). The service role discovers a target for each service port for each service. Find centralized, trusted content and collaborate around the technologies you use most. relabel_configs. Its value is set to the 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. 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 Monitoring subreddit. instances, as well as metadata and a single tag). 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. See below for the configuration options for EC2 discovery: The relabeling phase is the preferred and more powerful A configuration reload is triggered by sending a SIGHUP to the Prometheus process or relabeling phase. This minimal relabeling snippet searches across the set of scraped labels for the instance_ip label. and applied immediately. Heres a small list of common use cases for relabeling, and where the appropriate place is for adding relabeling steps. In advanced configurations, this may change. prometheus.yml This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. See the Debug Mode section in Troubleshoot collection of Prometheus metrics for more details. Prom Labss Relabeler tool may be helpful when debugging relabel configs. job. There is a list of See below for the configuration options for Eureka discovery: See the Prometheus eureka-sd configuration file If shipping samples to Grafana Cloud, you also have the option of persisting samples locally, but preventing shipping to remote storage. Changes to all defined files are detected via disk watches Each pod of the daemonset will take the config, scrape the metrics, and send them for that node. 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. This article provides instructions on customizing metrics scraping for a Kubernetes cluster with the metrics addon in Azure Monitor. 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. 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.
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