- Key: PrometheusScrape, Value: Enabled target is generated. They allow us to filter the targets returned by our SD mechanism, as well as manipulate the labels it sets. You can add additional metric_relabel_configs sections that replace and modify labels here. support for filtering instances. Thanks for contributing an answer to Stack Overflow! Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. This occurs after target selection using relabel_configs. Not the answer you're looking for? The target address defaults to the first existing address of the Kubernetes Why is there a voltage on my HDMI and coaxial cables? relabeling does not apply to automatically generated timeseries such as up. The target must reply with an HTTP 200 response. All rights reserved. The endpointslice role discovers targets from existing endpointslices. However, its usually best to explicitly define these for readability. This is generally useful for blackbox monitoring of an ingress. Its value is set to the It has the same configuration format and actions as target relabeling. To learn how to do this, please see Sending data from multiple high-availability Prometheus instances. in the following places, preferring the first location found: If Prometheus is running within GCE, the service account associated with the GCE SD configurations allow retrieving scrape targets from GCP GCE instances. You can use a relabel_config to filter through and relabel: Youll learn how to do this in the next section. Sign up for free now! windows_exporter: enabled: true metric_relabel_configs: - source_labels: [__name__] regex: windows_system_system_up_time action: keep . integrations with this But what about metrics with no labels? interface. 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. single target is generated. The ama-metrics replicaset pod consumes the custom Prometheus config and scrapes the specified targets. .). To learn how to discover high-cardinality metrics, please see Analyzing Prometheus metric usage. Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. PrometheusGrafana. If it finds the instance_ip label, it renames this label to host_ip. . IONOS SD configurations allows retrieving scrape targets from Heres an example. Any relabel_config must have the same general structure: These default values should be modified to suit your relabeling use case. address with relabeling. To collect all metrics from default targets, in the configmap under default-targets-metrics-keep-list, set minimalingestionprofile to false. configuration file. Thanks for reading, if you like my content, check out my website, read my newsletter or follow me at @ruanbekker on Twitter. stored in Zookeeper. 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. s. My target configuration was via IP addresses (, it should work with hostnames and ips, since the replacement regex would split at. This set of targets consists of one or more Pods that have one or more defined ports. 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. 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. To learn more about them, please see Prometheus Monitoring Mixins. These relabeling steps are applied before the scrape occurs and only have access to labels added by Prometheus Service Discovery. Prometheus is an open-source monitoring and alerting toolkit that collects and stores its metrics as time series data. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. 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. for a detailed example of configuring Prometheus for Docker Engine. EC2 SD configurations allow retrieving scrape targets from AWS EC2 If a relabeling step needs to store a label value only temporarily (as the Grafana Labs uses cookies for the normal operation of this website. Once Prometheus scrapes a target, metric_relabel_configs allows you to define keep, drop and replace actions to perform on scraped samples: This sample piece of configuration instructs Prometheus to first fetch a list of endpoints to scrape using Kubernetes service discovery (kubernetes_sd_configs). Prom Labss Relabeler tool may be helpful when debugging relabel configs. changed with relabeling, as demonstrated in the Prometheus hetzner-sd After relabeling, the instance label is set to the value of __address__ by default if You can perform the following common action operations: For a full list of available actions, please see relabel_config from the Prometheus documentation. Using this feature, you can store metrics locally but prevent them from shipping to Grafana Cloud. It fetches targets from an HTTP endpoint containing a list of zero or more You can place all the logic in the targets section using some separator - I used @ and then process it with regex. 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. Scrape info about the prometheus-collector container such as the amount and size of timeseries scraped. relabeling phase. By default, all apps will show up as a single job in Prometheus (the one specified For readability its usually best to explicitly define a relabel_config. record queries, but not the advanced DNS-SD approach specified in Finally, the write_relabel_configs block applies relabeling rules to the data just before its sent to a remote endpoint. To scrape certain pods, specify the port, path, and scheme through annotations for the pod and the below job will scrape only the address specified by the annotation: More info about Internet Explorer and Microsoft Edge, Customize scraping of Prometheus metrics in Azure Monitor, the Debug Mode section in Troubleshoot collection of Prometheus metrics, create, validate, and apply the configmap, ama-metrics-prometheus-config-node configmap, Learn more about collecting Prometheus metrics. Remote development environments that secure your source code and sensitive data I have installed Prometheus on the same server where my Django app is running. Mixins are a set of preconfigured dashboards and alerts. This solution stores data at scrape-time with the desired labels, no need for funny PromQL queries or hardcoded hacks. Droplets API. metric_relabel_configs /metricsmetric_relabel_configs 3.2.2 alertmanagers alertmanagers Prometheus alertmanagers Prometheuspushing alertmanager alertmanager target This service discovery uses the public IPv4 address by default, but that can be The labels can be used in the relabel_configs section to filter targets or replace labels for the targets. instances. How can I 'join' two metrics in a Prometheus query? Prometheus also provides some internal labels for us. where should i use this in prometheus? This is most commonly used for sharding multiple targets across a fleet of Prometheus instances. via the MADS v1 (Monitoring Assignment Discovery Service) xDS API, and will create a target for each proxy Basics; Curated Examples; Example Queries; Scrape Configs; Recording Rules; External Sources; Basics. yamlyaml. Below are examples showing ways to use relabel_configs. Additional labels prefixed with __meta_ may be available during the The CloudWatch agent with Prometheus monitoring needs two configurations to scrape the Prometheus metrics. This SD discovers "containers" and will create a target for each network IP and port the container is configured to expose. To learn more, see our tips on writing great answers. If the relabel action results in a value being written to some label, target_label defines to which label the replacement should be written. See below for the configuration options for Triton discovery: Eureka SD configurations allow retrieving scrape targets using the Both of these methods are implemented through Prometheuss metric filtering and relabeling feature, relabel_config. These are SmartOS zones or lx/KVM/bhyve branded zones. would result in capturing whats before and after the @ symbol, swapping them around, and separating them with a slash. service port. Using the write_relabel_config entry shown below, you can target the metric name using the __name__ label in combination with the instance name. This will also reload any configured rule files. configuration. Lightsail SD configurations allow retrieving scrape targets from AWS Lightsail Note: By signing up, you agree to be emailed related product-level information. The scrape config should only target a single node and shouldn't use service discovery. compute resources. For OVHcloud's public cloud instances you can use the openstacksdconfig. my/path/tg_*.json. could be used to limit which samples are sent. The __meta_dockerswarm_network_* meta labels are not populated for ports which RE2 regular expression. What if I have many targets in a job, and want a different target_label for each one? 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. Nerve SD configurations allow retrieving scrape targets from AirBnB's Nerve which are stored in 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. A blog on monitoring, scale and operational Sanity. 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. instances it can be more efficient to use the EC2 API directly which has type Config struct {GlobalConfig GlobalConfig `yaml:"global"` AlertingConfig AlertingConfig `yaml:"alerting,omitempty"` RuleFiles []string `yaml:"rule_files,omitempty"` ScrapeConfigs []*ScrapeConfig `yaml:"scrape_configs,omitempty"` . I have suggested calling it target_relabel_configs to differentiate it from metric_relabel_configs. discovery endpoints. 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. may contain a single * that matches any character sequence, e.g. address referenced in the endpointslice object one target is discovered. Open positions, Check out the open source projects we support changed with relabeling, as demonstrated in the Prometheus scaleway-sd The private IP address is used by default, but may be changed to the public IP The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. See below for the configuration options for Uyuni discovery: See the Prometheus uyuni-sd configuration file 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 Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. this functionality. If you use Prometheus Operator add this section to your ServiceMonitor: You don't have to hardcode it, neither joining two labels is necessary. Our answer exist inside the node_uname_info metric which contains the nodename value. If a service has no published ports, a target per See below for the configuration options for Marathon discovery: By default every app listed in Marathon will be scraped by Prometheus. Note: By signing up, you agree to be emailed related product-level information. After changing the file, the prometheus service will need to be restarted to pickup the changes. Since the (. filepath from which the target was extracted. See below for the configuration options for Docker Swarm discovery: The relabeling phase is the preferred and more powerful dynamically discovered using one of the supported service-discovery mechanisms. The global configuration specifies parameters that are valid in all other configuration Targets may be statically configured via the static_configs parameter or To view every metric that is being scraped for debugging purposes, the metrics addon agent can be configured to run in debug mode by updating the setting enabled to true under the debug-mode setting in ama-metrics-settings-configmap configmap. way to filter containers. for a detailed example of configuring Prometheus for Kubernetes. - targets: ['localhost:8070'] scheme: http metric_relabel_configs: - source_labels: [__name__] regex: 'organizations_total|organizations_created' action . The endpoints role discovers targets from listed endpoints of a service. Use Grafana to turn failure into resilience. * action: drop metric_relabel_configs For example, you may have a scrape job that fetches all Kubernetes Endpoints using a kubernetes_sd_configs parameter. changed with relabeling, as demonstrated in the Prometheus scaleway-sd configuration file, the Prometheus uyuni-sd configuration file, the Prometheus vultr-sd Multiple relabeling steps can be configured per scrape configuration. Three different configmaps can be configured to change the default settings of the metrics addon: The ama-metrics-settings-configmap can be downloaded, edited, and applied to the cluster to customize the out-of-the-box features of the metrics addon. ), but not system components (kubelet, node-exporter, kube-scheduler, .,) system components do not need most of the labels (endpoint . They are applied to the label set of each target in order of their appearance Zookeeper. write_relabel_configs is relabeling applied to samples before sending them The fastest way to get started is with Grafana Cloud, which includes free forever access to 10k metrics, 50GB logs, 50GB traces, & more. The replacement field defaults to just $1, the first captured regex, so its sometimes omitted. ec2:DescribeAvailabilityZones permission if you want the availability zone ID The relabeling phase is the preferred and more powerful 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. server sends alerts to. Prometheus is configured through a single YAML file called prometheus.yml. In our config, we only apply a node-exporter scrape config to instances which are tagged PrometheusScrape=Enabled, then we use the Name tag, and assign its value to the instance tag, and the similarly we assign the Environment tag value to the environment promtheus label value. Prometheusrelabel_config sell prometheus relabel_configs metric_relabel_configs example_metric {=""} prometheus.yaml Follow the instructions to create, validate, and apply the configmap for your cluster. The prometheus_sd_http_failures_total counter metric tracks the number of The IAM credentials used must have the ec2:DescribeInstances permission to Triton SD configurations allow retrieving Why does Mister Mxyzptlk need to have a weakness in the comics? way to filter targets based on arbitrary labels. Much of the content here also applies to Grafana Agent users. It This will cut your active series count in half. The last path segment to the remote endpoint. Email update@grafana.com for help. In other words, its metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels. The Making statements based on opinion; back them up with references or personal experience. and applied immediately. 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. Denylisting becomes possible once youve identified a list of high-cardinality metrics and labels that youd like to drop. First, it should be metric_relabel_configs rather than relabel_configs. Files may be provided in YAML or JSON format. 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 sending a HTTP POST request to the /-/reload endpoint (when the --web.enable-lifecycle flag is enabled). Weve come a long way, but were finally getting somewhere. 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. The __scrape_interval__ and __scrape_timeout__ labels are set to the target's The relabeling step calculates the MD5 hash of the concatenated label values modulo a positive integer N, resulting in a number in the range [0, N-1]. which rule files to load. Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples. ), the 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. relabeling phase. One use for this is to exclude time series that are too expensive to ingest. The following meta labels are available on targets during relabeling: See below for the configuration options for Azure discovery: Consul SD configurations allow retrieving scrape targets from Consul's 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.). Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. Serverset data must be in the JSON format, the Thrift format is not currently supported. prometheustarget 12key metrics_relabel_configsrelabel_configsmetrics_relabel_configsrelabel_configstarget metric_relabel_configs 0 APP "" sleepyzhang 0 7638 0 0 Using a standard prometheus config to scrape two targets: the public IP address with relabeling. Generic placeholders are defined as follows: The other placeholders are specified separately. prometheus prometheus server Pull Push . Below are examples of how to do so. The private IP address is used by default, but may be changed to . To learn more about Prometheus service discovery features, please see Configuration from the Prometheus docs. Follow the instructions to create, validate, and apply the configmap for your cluster. For example, if a Pod backing the Nginx service has two ports, we only scrape the port named web and drop the other. 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. refresh failures. Parameters that arent explicitly set will be filled in using default values. Python Flask Forms with Jinja Templating , Copyright 2023 - Ruan - configuration. For details on custom configuration, see Customize scraping of Prometheus metrics in Azure Monitor. While I've never encountered a case where that would matter, but hey sure if there's a better way, why not. Extracting labels from legacy metric names. I'm also loathe to fork it and have to maintain in parallel with upstream, I have neither the time nor the karma. For each endpoint This relabeling occurs after target selection. This can be , __name__ () node_cpu_seconds_total mode idle (drop). See this example Prometheus configuration file integrations can be more efficient to use the Swarm API directly which has basic support for To bulk drop or keep labels, use the labelkeep and labeldrop actions. To filter by them at the metrics level, first keep them using relabel_configs by assigning a label name and then use metric_relabel_configs to filter. See below for the configuration options for OpenStack discovery: OVHcloud SD configurations allow retrieving scrape targets from OVHcloud's dedicated servers and VPS using 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 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. One of the following roles can be configured to discover targets: The services role discovers all Swarm services 2023 The Linux Foundation. In this case Prometheus would drop a metric like container_network_tcp_usage_total(. Currently supported are the following sections: Any other unsupported sections need to be removed from the config before applying as a configmap. Additionally, relabel_configs allow advanced modifications to any 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. configuration file, this example Prometheus configuration file, the Prometheus hetzner-sd Scrape kubelet in every node in the k8s cluster without any extra scrape config. It would also be less than friendly to expect any of my users -- especially those completely new to Grafana / PromQL -- to write a complex and inscrutable query every time. This is generally useful for blackbox monitoring of a service. This can be used to filter metrics with high cardinality or route metrics to specific remote_write targets. For each endpoint Advanced Setup: Configure custom Prometheus scrape jobs for the daemonset 1Prometheus. It may be a factor that my environment does not have DNS A or PTR records for the nodes in question. has the same configuration format and actions as target relabeling. [prometheus URL]:9090/targets target endpoint Before relabeling __metrics_path__ label relabel relabel static config Prometheus The result of the concatenation is the string node-42 and the MD5 of the string modulus 8 is 5. will periodically check the REST endpoint and 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 as retrieved from the API server. When we configured Prometheus to run as a service, we specified the path of /etc/prometheus/prometheus.yml. I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. Marathon REST API. The address will be set to the Kubernetes DNS name of the service and respective This article provides instructions on customizing metrics scraping for a Kubernetes cluster with the metrics addon in Azure Monitor. Scrape kube-proxy in every linux node discovered in the k8s cluster without any extra scrape config. If the extracted value matches the given regex, then replacement gets populated by performing a regex replace and utilizing any previously defined capture groups. To drop a specific label, select it using source_labels and use a replacement value of "". Use the metric_relabel_configs section to filter metrics after scraping.
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