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prometheus relabel_configs vs metric_relabel_configs

Reload Prometheus and check out the targets page: Great! This article provides instructions on customizing metrics scraping for a Kubernetes cluster with the metrics addon in Azure Monitor. For example, when measuring HTTP latency, we might use labels to record the HTTP method and status returned, which endpoint was called, and which server was responsible for the request. Grafana Labs uses cookies for the normal operation of this website. The prometheus_sd_http_failures_total counter metric tracks the number of The tasks role discovers all Swarm tasks Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. It expects an array of one or more label names, which are used to select the respective label values. Prometheus Authors 2014-2023 | Documentation Distributed under CC-BY-4.0. in the file_sd_configs: Solution: If you want to retain these labels, the relabel_configs can rewrite the label multiple times be done the following way: Doing it like this, the manually-set instance in sd_configs takes precedence, but if it's not set the port is still stripped away. through the __alerts_path__ label. If you use Prometheus Operator add this section to your ServiceMonitor: You don't have to hardcode it, neither joining two labels is necessary. See below for the configuration options for Uyuni discovery: See the Prometheus uyuni-sd configuration file Additionally, relabel_configs allow selecting Alertmanagers from discovered The address will be set to the host specified in the ingress spec. support for filtering instances. 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. Prometheus is configured via command-line flags and a configuration file. stored in Zookeeper. After scraping these endpoints, Prometheus applies the metric_relabel_configs section, which drops all metrics whose metric name matches the specified regex. integrations sending a HTTP POST request to the /-/reload endpoint (when the --web.enable-lifecycle flag is enabled). contexts. Sorry, an error occurred. Using this feature, you can store metrics locally but prevent them from shipping to Grafana Cloud. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. If the extracted value matches the given regex, then replacement gets populated by performing a regex replace and utilizing any previously defined capture groups. target and its labels before scraping. Please find below an example from other exporter (blackbox), but same logic applies for node exporter as well. Email update@grafana.com for help. via Uyuni API. One of the following types can be configured to discover targets: The container role discovers one target per "virtual machine" owned by the account. port of a container, a single target is generated. Enter relabel_configs, a powerful way to change metric labels dynamically. For example, you may have a scrape job that fetches all Kubernetes Endpoints using a kubernetes_sd_configs parameter. metric_relabel_configs /metricsmetric_relabel_configs 3.2.2 alertmanagers alertmanagers Prometheus alertmanagers Prometheuspushing alertmanager alertmanager target The regex is this functionality. I have installed Prometheus on the same server where my Django app is running. their API. *) 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. The target must reply with an HTTP 200 response. inside a Prometheus-enabled mesh. from underlying pods), the following labels are attached. 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. 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 service role discovers a target for each service port for each service. target is generated. Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. prometheus.yml This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. It has the same configuration format and actions as target relabeling. Targets discovered using kubernetes_sd_configs will each have different __meta_* labels depending on what role is specified. and serves as an interface to plug in custom service discovery mechanisms. Docker Swarm SD configurations allow retrieving scrape targets from Docker Swarm write_relabel_configs is relabeling applied to samples before sending them Basics; Curated Examples; Example Queries; Scrape Configs; Recording Rules; External Sources; Basics. So let's shine some light on these two configuration options. One use for this is ensuring a HA pair of Prometheus servers with different .). are published with mode=host. Alert What sort of strategies would a medieval military use against a fantasy giant? Azure SD configurations allow retrieving scrape targets from Azure VMs. Prometheus is an open-source monitoring and alerting toolkit that collects and stores its metrics as time series data. tracing_config configures exporting traces from Prometheus to a tracing backend via the OTLP protocol. You can filter series using Prometheuss relabel_config configuration object. in the configuration file. See below for the configuration options for Eureka discovery: See the Prometheus eureka-sd configuration file IONOS Cloud API. So as a simple rule of thumb: relabel_config happens before the scrape,metric_relabel_configs happens after the scrape. Furthermore, only Endpoints that have https-metrics as a defined port name are kept. It is discover scrape targets, and may optionally have the by the API. After concatenating the contents of the subsystem and server labels, we could drop the target which exposes webserver-01 by using the following block. This configuration does not impact any configuration set in metric_relabel_configs or relabel_configs. Omitted fields take on their default value, so these steps will usually be shorter. We've looked at the full Life of a Label. Its value is set to the This service discovery uses the public IPv4 address by default, by that can be Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. - Key: PrometheusScrape, Value: Enabled Finally, use write_relabel_configs in a remote_write configuration to select which series and labels to ship to remote storage. Brackets indicate that a parameter is optional. After changing the file, the prometheus service will need to be restarted to pickup the changes. additional container ports of the pod, not bound to an endpoint port, are discovered as targets as well. They are set by the service discovery mechanism that provided Additional config for this answer: They are applied to the label set of each target in order of their appearance If a task has no published ports, a target per task is relabeling phase. Downloads. Use metric_relabel_configs in a given scrape job to select which series and labels to keep, and to perform any label replacement operations. Asking for help, clarification, or responding to other answers. This occurs after target selection using relabel_configs. There is a list of scrape targets from Container Monitor This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. is it query? This is generally useful for blackbox monitoring of a service. In this scenario, on my EC2 instances I have 3 tags: Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. They also serve as defaults for other configuration sections. configuration file, this example Prometheus configuration file, the Prometheus hetzner-sd Each pod of the daemonset will take the config, scrape the metrics, and send them for that node. Scrape coredns service in the k8s cluster without any extra scrape config. I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. The relabel_config step will use this number to populate the target_label with the result of the MD5(extracted value) % modulus expression. Scrape cAdvisor in every node in the k8s cluster without any extra scrape config. config package - github.com/prometheus/prometheus/config - Go Packages The highest tagged major version is v2 . A static config has a list of static targets and any extra labels to add to them. Note that the IP number and port used to scrape the targets is assembled as How to use Slater Type Orbitals as a basis functions in matrix method correctly? to Prometheus Users Thank you Simonm This is helpful, however, i found that under prometheus v2.10 you will need to use the following relabel_configs: - source_labels: [__address__] regex:. On the federation endpoint Prometheus can add labels When sending alerts we can alter alerts labels changed with relabeling, as demonstrated in the Prometheus scaleway-sd Currently supported are the following sections: Any other unsupported sections need to be removed from the config before applying as a configmap. The default regex value is (. See below for the configuration options for Scaleway discovery: Uyuni SD configurations allow retrieving scrape targets from managed systems Published by Brian Brazil in Posts Tags: prometheus, relabelling, service discovery Share on Blog | Training | Book | Privacy Let's say you don't want to receive data for the metric node_memory_active_bytes from an instance running at localhost:9100. "After the incident", I started to be more careful not to trip over things. This will cut your active series count in half. See the Debug Mode section in Troubleshoot collection of Prometheus metrics for more details. in the following places, preferring the first location found: If Prometheus is running within GCE, the service account associated with the The configuration format is the same as the Prometheus configuration file. See below for the configuration options for Kubernetes discovery: See this example Prometheus configuration file In those cases, you can use the relabel May 29, 2017. 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: This role uses the public IPv4 address by default. The private IP address is used by default, but may be changed to You can, for example, only keep specific metric names. configuration. 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). To learn how to do this, please see Sending data from multiple high-availability Prometheus instances. Each unique combination of key-value label pairs is stored as a new time series in Prometheus, so labels are crucial for understanding the datas cardinality and unbounded sets of values should be avoided as labels. relabel_configsmetric_relabel_configssource_labels CC 4.0 BY-SA The __scrape_interval__ and __scrape_timeout__ labels are set to the target's So now that we understand what the input is for the various relabel_config rules, how do we create one? following meta labels are available on all targets during To learn more about remote_write configuration parameters, please see remote_write from the Prometheus docs. Prometheus fetches an access token from the specified endpoint with Open positions, Check out the open source projects we support To un-anchor the regex, use .*.*. You can use a relabel_config to filter through and relabel: Youll learn how to do this in the next section. To allowlist metrics and labels, you should identify a set of core important metrics and labels that youd like to keep. refresh interval. (relabel_config) prometheus . Heres an example. This SD discovers "containers" and will create a target for each network IP and port the container is configured to expose. The private IP address is used by default, but may be changed to the public IP Relabelling. If shipping samples to Grafana Cloud, you also have the option of persisting samples locally, but preventing shipping to remote storage. To drop a specific label, select it using source_labels and use a replacement value of "". s. 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. However, in some - the incident has nothing to do with me; can I use this this way? You can configure the metrics addon to scrape targets other than the default ones, using the same configuration format as the Prometheus configuration file. Use Grafana to turn failure into resilience. By default, instance is set to __address__, which is $host:$port. from the /metrics page) that you want to manipulate that's where metric_relabel_configs applies. So ultimately {__tmp=5} would be appended to the metrics label set. It is the canonical way to specify static targets in a scrape For example, kubelet is the metric filtering setting for the default target kubelet. 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. Additional helpful documentation, links, and articles: How to set up and visualize synthetic monitoring at scale with Grafana Cloud, Using Grafana Cloud to drive manufacturing plant efficiency. Note that adding an additional scrape . 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. integrations with this relabeling: Kubernetes SD configurations allow retrieving scrape targets from for a detailed example of configuring Prometheus for Kubernetes. Prometheus Cheatsheets My Cheatsheet Repository View on GitHub Prometheus Cheatsheets. In addition, the instance label for the node will be set to the node name Open positions, Check out the open source projects we support 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. 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. Read more. Going back to our extracted values, and a block like this. If the endpoint is backed by a pod, all There is a small demo of how to use The target The cluster label appended to every time series scraped will use the last part of the full AKS cluster's ARM resourceID. To learn more about remote_write, please see remote_write from the official Prometheus docs. The target address defaults to the first existing address of the Kubernetes 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 ingress role discovers a target for each path of each ingress. This is generally useful for blackbox monitoring of an ingress. discovery endpoints. Prometheus applies this relabeling and dropping step after performing target selection using relabel_configs and metric selection and relabeling using metric_relabel_configs. configuration file. 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. See the Prometheus marathon-sd configuration file of your services provide Prometheus metrics, you can use a Marathon label and So without further ado, lets get into it! Yes, I know, trust me I don't like either but it's out of my control. which rule files to load. A scrape_config section specifies a set of targets and parameters describing how See below for the configuration options for Docker Swarm discovery: The relabeling phase is the preferred and more powerful Short story taking place on a toroidal planet or moon involving flying. where should i use this in prometheus? - ip-192-168-64-29.multipass:9100 The nodes role is used to discover Swarm nodes. address defaults to the host_ip attribute of the hypervisor. the target and vary between mechanisms. for a practical example on how to set up your Eureka app and your Prometheus tsdb lets you configure the runtime-reloadable configuration settings of the TSDB. 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. This reduced set of targets corresponds to Kubelet https-metrics scrape endpoints. The cn role discovers one target for per compute node (also known as "server" or "global zone") making up the Triton infrastructure. the public IP address with relabeling. has the same configuration format and actions as target relabeling. 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. For readability its usually best to explicitly define a relabel_config. Using relabeling at the target selection stage, you can selectively choose which targets and endpoints you want to scrape (or drop) to tune your metric usage. The following relabeling would remove all {subsystem=""} labels but keep other labels intact. If the new configuration Connect and share knowledge within a single location that is structured and easy to search. How is an ETF fee calculated in a trade that ends in less than a year? This SD discovers resources and will create a target for each resource returned relabeling is applied after external labels. Next, using relabel_configs, only Endpoints with the Service Label k8s_app=kubelet are kept. The private IP address is used by default, but may be changed to domain names which are periodically queried to discover a list of targets. The scrape intervals have to be set by customer in the correct format specified here, else the default value of 30 seconds will be applied to the corresponding targets. Before applying these techniques, ensure that youre deduplicating any samples sent from high-availability Prometheus clusters. Prometheus 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. Targets may be statically configured via the static_configs parameter or In the previous example, we may not be interested in keeping track of specific subsystems labels anymore. This relabeling occurs after target selection. PuppetDB resources. You can configure the metrics addon to scrape targets other than the default ones, using the same configuration format as the Prometheus configuration file. devops, docker, prometheus, Create a AWS Lambda Layer with Docker I used the answer to this post as a model for my request: https://stackoverflow.com/a/50357418 . The last path segment We drop all ports that arent named web. We could offer this as an alias, to allow config file transition for Prometheus 3.x. // Config is the top-level configuration for Prometheus's config files. way to filter tasks, services or nodes.

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• 9. April 2023


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prometheus relabel_configs vs metric_relabel_configs