prometheus relabel_configs vs metric_relabel_configs
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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. The relabel_configs section is applied at the time of target discovery and applies to each target for the job. Does Counterspell prevent from any further spells being cast on a given turn? Since weve used default regex, replacement, action, and separator values here, they can be omitted for brevity. NodeLegacyHostIP, and NodeHostName. the cluster state. 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. integrations server sends alerts to. Scrape cAdvisor in every node in the k8s cluster without any extra scrape config. To do this, use a relabel_config object in the write_relabel_configs subsection of the remote_write section of your Prometheus config. In many cases, heres where internal labels come into play. Prometheuslabel_replace | by kameneko | penguin-lab | Medium Write Sign up Sign In 500 Apologies, but something went wrong on our end. So the solution I used is to combine an existing value containing what we want (the hostnmame) with a metric from the node exporter. However, its usually best to explicitly define these for readability. (relabel_config) prometheus . The last path segment 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. Alertmanagers may be statically configured via the static_configs parameter or the given client access and secret keys. Robot API. Relabeling relabeling Prometheus Relabel source_labels and separator Let's start off with source_labels. If a service has no published ports, a target per However, in some This service discovery method only supports basic DNS A, AAAA, MX and SRV How can they help us in our day-to-day work? in the following places, preferring the first location found: If Prometheus is running within GCE, the service account associated with the Use __address__ as the source label only because that label will always exist and will add the label for every target of the job. stored in Zookeeper. address one target is discovered per port. changed with relabeling, as demonstrated in the Prometheus scaleway-sd This relabeling occurs after target selection. A blog on monitoring, scale and operational Sanity. And if one doesn't work you can always try the other! To collect all metrics from default targets, in the configmap under default-targets-metrics-keep-list, set minimalingestionprofile to false. These relabeling steps are applied before the scrape occurs and only have access to labels added by Prometheus Service Discovery. <__meta_consul_address>:<__meta_consul_service_port>. 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. To filter in more metrics for any default targets, edit the settings under default-targets-metrics-keep-list for the corresponding job you'd like to change. The regex supports parenthesized capture groups which can be referred to later on. a port-free target per container is created for manually adding a port via relabeling. - ip-192-168-64-29.multipass:9100 Our answer exist inside the node_uname_info metric which contains the nodename value. So without further ado, lets get into it! They are set by the service discovery mechanism that provided This service discovery uses the public IPv4 address by default, but that can be This solution stores data at scrape-time with the desired labels, no need for funny PromQL queries or hardcoded hacks. Thats all for today! An example might make this clearer. metric_relabel_configs by contrast are applied after the scrape has happened, but before the data is ingested by the storage system. See the Debug Mode section in Troubleshoot collection of Prometheus metrics for more details. The terminal should return the message "Server is ready to receive web requests." The labelmap action is used to map one or more label pairs to different label names. prometheustarget 12key metrics_relabel_configsrelabel_configsmetrics_relabel_configsrelabel_configstarget metric_relabel_configs 0 APP "" sleepyzhang 0 7638 0 0 The above snippet will concatenate the values stored in __meta_kubernetes_pod_name and __meta_kubernetes_pod_container_port_number. Metric configuration file. We have a generous free forever tier and plans for every use case. I just came across this problem and the solution is to use a group_left to resolve this problem. 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. Service API. Eureka REST API. It fetches targets from an HTTP endpoint containing a list of zero or more *) to catch everything from the source label, and since there is only one group we use the replacement as ${1}-randomtext and use that value to apply it as the value of the given target_label which in this case is for randomlabel, which will be in this case: In this case we want to relabel the __address__ and apply the value to the instance label, but we want to exclude the :9100 from the __address__ label: On AWS EC2 you can make use of the ec2_sd_config where you can make use of EC2 Tags, to set the values of your tags to prometheus label values. relabeling: Kubernetes SD configurations allow retrieving scrape targets from could be used to limit which samples are sent. Prometheus is an open-source monitoring and alerting toolkit that collects and stores its metrics as time series data. You can place all the logic in the targets section using some separator - I used @ and then process it with regex. PrometheusGrafana. changed with relabeling, as demonstrated in the Prometheus scaleway-sd Scaleway SD configurations allow retrieving scrape targets from Scaleway instances and baremetal services. # prometheus $ vim /usr/local/prometheus/prometheus.yml $ sudo systemctl restart prometheus Remote development environments that secure your source code and sensitive data The tasks role discovers all Swarm tasks changed with relabeling, as demonstrated in the Prometheus digitalocean-sd This minimal relabeling snippet searches across the set of scraped labels for the instance_ip label. The instance role discovers one target per network interface of Nova Relabeling 4.1 . When metrics come from another system they often don't have labels. feature to replace the special __address__ label. 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. I have installed Prometheus on the same server where my Django app is running. Nomad SD configurations allow retrieving scrape targets from Nomad's to scrape them. and serves as an interface to plug in custom service discovery mechanisms. Tracing is currently an experimental feature and could change in the future. following meta labels are available on all targets during Initially, aside from the configured per-target labels, a target's job 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. 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 extracted string would then be set written out to the target_label and might result in {address="podname:8080}. File-based service discovery provides a more generic way to configure static targets Serverset data must be in the JSON format, the Thrift format is not currently supported. To bulk drop or keep labels, use the labelkeep and labeldrop actions. The labels can be used in the relabel_configs section to filter targets or replace labels for the targets. for a practical example on how to set up your Eureka app and your Prometheus The ingress role discovers a target for each path of each ingress. There is a list of This block would match the two values we previously extracted, However, this block would not match the previous labels and would abort the execution of this specific relabel step. So if you want to say scrape this type of machine but not that one, use relabel_configs. "After the incident", I started to be more careful not to trip over things. 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. The default value of the replacement is $1, so it will match the first capture group from the regex or the entire extracted value if no regex was specified. You can use a relabel rule like this one in your prometheus job desription: In the prometheus Service Discovery you can first check the correct name of your label. port of a container, a single target is generated. See below for the configuration options for EC2 discovery: The relabeling phase is the preferred and more powerful Finally, this configures authentication credentials and the remote_write queue. This set of targets consists of one or more Pods that have one or more defined ports. 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. Vultr SD configurations allow retrieving scrape targets from Vultr. They also serve as defaults for other configuration sections. The cluster label appended to every time series scraped will use the last part of the full AKS cluster's ARM resourceID. relabel_configs: - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape] action: keep regex: true // keep targets with label __meta_kubernetes_service_annotation_prometheus_io_scrape equals 'true', // which means the user added prometheus.io/scrape: true in the service's annotation. Overview. scrape targets from Container Monitor via Uyuni API. Relabeler allows you to visually confirm the rules implemented by a relabel config. The This SD discovers resources and will create a target for each resource returned node-exporter.yaml . This guide describes several techniques you can use to reduce your Prometheus metrics usage on Grafana Cloud. 2023 The Linux Foundation. metric_relabel_configs are commonly used to relabel and filter samples before ingestion, and limit the amount of data that gets persisted to storage. Avoid downtime. Next, using relabel_configs, only Endpoints with the Service Label k8s_app=kubelet are kept. To learn more about the general format for a relabel_config block, please see relabel_config from the Prometheus docs. 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. The label will end with '.pod_node_name'. Next I came across something that said that Prom will fill in instance with the value of address if the collector doesn't supply a value, and indeed for some reason it seems as though my scrapes of node_exporter aren't getting one. Droplets API. Scrape kubelet in every node in the k8s cluster without any extra scrape config. // Config is the top-level configuration for Prometheus's config files. 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. The following meta labels are available for each target: See below for the configuration options for Kuma MonitoringAssignment discovery: The relabeling phase is the preferred and more powerful way Where
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