If a container has no specified ports, You can use a relabel_config to filter through and relabel: Youll learn how to do this in the next section. Furthermore, only Endpoints that have https-metrics as a defined port name are kept. For now, Prometheus Operator adds following labels automatically: endpoint, instance, namespace, pod, and service. Hetzner SD configurations allow retrieving scrape targets from The last path segment For OVHcloud's public cloud instances you can use the openstacksdconfig. Files may be provided in YAML or JSON format. this functionality. from the /metrics page) that you want to manipulate that's where metric_relabel_configs applies. Avoid downtime. Omitted fields take on their default value, so these steps will usually be shorter. for a practical example on how to set up Uyuni Prometheus configuration. The difference between the phonemes /p/ and /b/ in Japanese. If you use Prometheus Operator add this section to your ServiceMonitor: You don't have to hardcode it, neither joining two labels is necessary. filtering nodes (using filters). You can place all the logic in the targets section using some separator - I used @ and then process it with regex. Default targets are scraped every 30 seconds. filepath from which the target was extracted. relabeling phase. You can either create this configmap or edit an existing one. Additionally, relabel_configs allow selecting Alertmanagers from discovered The PromQL queries that power these dashboards and alerts reference a core set of important observability metrics. Latest Published: Jan 31, 2023 License: Apache-2.0 Imports: 18 Imported by: 2,025 Details Valid go.mod file Redistributable license Tagged version and exposes their ports as targets. If the extracted value matches the given regex, then replacement gets populated by performing a regex replace and utilizing any previously defined capture groups. But what about metrics with no labels? address with relabeling. Next, using relabel_configs, only Endpoints with the Service Label k8s_app=kubelet are kept. For example, you may have a scrape job that fetches all Kubernetes Endpoints using a kubernetes_sd_configs parameter. In many cases, heres where internal labels come into play. 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). The target type Config struct {GlobalConfig GlobalConfig `yaml:"global"` AlertingConfig AlertingConfig `yaml:"alerting,omitempty"` RuleFiles []string `yaml:"rule_files,omitempty"` ScrapeConfigs []*ScrapeConfig `yaml:"scrape_configs,omitempty"` . Email update@grafana.com for help. File-based service discovery provides a more generic way to configure static targets Please find below an example from other exporter (blackbox), but same logic applies for node exporter as well. 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. via Uyuni API. To un-anchor the regex, use .*.*. 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. DigitalOcean SD configurations allow retrieving scrape targets from DigitalOcean's in the configuration file. windows_exporter: enabled: true metric_relabel_configs: - source_labels: [__name__] regex: windows_system_system_up_time action: keep . Short story taking place on a toroidal planet or moon involving flying. - Key: Environment, Value: dev. While configuration file. instance it is running on should have at least read-only permissions to the 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. relabeling: Kubernetes SD configurations allow retrieving scrape targets from The address will be set to the host specified in the ingress spec. 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: EC2 SD configurations allow retrieving scrape targets from AWS EC2 external labels send identical alerts. For details on custom configuration, see Customize scraping of Prometheus metrics in Azure Monitor. for a detailed example of configuring Prometheus for Kubernetes. The global configuration specifies parameters that are valid in all other configuration You may wish to check out the 3rd party Prometheus Operator, Follow the instructions to create, validate, and apply the configmap for your cluster. But still that shouldn't matter, I dunno why node_exporter isn't supplying any instance label at all since it does find the hostname for the info metric (where it doesn't do me any good). If the new configuration It is the canonical way to specify static targets in a scrape target is generated. This role uses the public IPv4 address by default. service port. Robot API. Once Prometheus is running, you can use PromQL queries to see how the metrics are evolving over time, such as rate (node_cpu_seconds_total [1m]) to observe CPU usage: While the node exporter does a great job of producing machine-level metrics on Unix systems, it's not going to help you expose metrics for all of your other third-party applications. 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. Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. Each pod of the daemonset will take the config, scrape the metrics, and send them for that node. 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. action: keep. It's not uncommon for a user to share a Prometheus config with a validrelabel_configs and wonder why it isn't taking effect. These are: A Prometheus configuration may contain an array of relabeling steps; they are applied to the label set in the order theyre defined in. A static_config allows specifying a list of targets and a common label set 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:. The endpoints role discovers targets from listed endpoints of a service. The hashmod action provides a mechanism for horizontally scaling Prometheus. 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. Sign up for free now! What sort of strategies would a medieval military use against a fantasy giant? With a (partial) config that looks like this, I was able to achieve the desired result. Discover Packages github.com/prometheus/prometheus config config package Version: v0.42. For each declared Example scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. Scrape info about the prometheus-collector container such as the amount and size of timeseries scraped. Create Your Python's Custom Prometheus Exporter Tony DevOps in K8s K9s, Terminal Based UI to Manage Your Cluster Kirshi Yin in Better Programming How To Monitor a Spring Boot App With. Hope you learned a thing or two about relabeling rules and that youre more comfortable with using them. Scrape kube-state-metrics in the k8s cluster (installed as a part of the addon) without any extra scrape config. See below for the configuration options for OpenStack discovery: OVHcloud SD configurations allow retrieving scrape targets from OVHcloud's dedicated servers and VPS using Using the write_relabel_config entry shown below, you can target the metric name using the __name__ label in combination with the instance name. Blog | Training | Book | Privacy, relabel_configs vs metric_relabel_configs. Targets may be statically configured via the static_configs parameter or Once the targets have been defined, the metric_relabel_configs steps are applied after the scrape and allow us to select which series we would like to ingest into Prometheus storage. The role will try to use the public IPv4 address as default address, if there's none it will try to use the IPv6 one. This is often resolved by using metric_relabel_configs instead (the reverse has also happened, but it's far less common). The service role discovers a target for each service port for each service. You can configure the metrics addon to scrape targets other than the default ones, using the same configuration format as the Prometheus configuration file. And if one doesn't work you can always try the other! There is a list of entities and provide advanced modifications to the used API path, which is exposed Service API. Files must contain a list of static configs, using these formats: As a fallback, the file contents are also re-read periodically at the specified relabeling. The endpoint is queried periodically at the specified refresh interval. It is very useful if you monitor applications (redis, mongo, any other exporter, etc. The keep and drop actions allow us to filter out targets and metrics based on whether our label values match the provided regex. can be more efficient to use the Swarm API directly which has basic support for can be more efficient to use the Docker API directly which has basic support for directly which has basic support for filtering nodes (currently by node In this case Prometheus would drop a metric like container_network_tcp_usage_total(. Allowlisting or keeping the set of metrics referenced in a Mixins alerting rules and dashboards can form a solid foundation from which to build a complete set of observability metrics to scrape and store. Step 2: Scrape Prometheus sources and import metrics. To update the scrape interval settings for any target, the customer can update the duration in default-targets-scrape-interval-settings setting for that target in ama-metrics-settings-configmap configmap. users with thousands of services it can be more efficient to use the Consul API Prometheusrelabel config sell prometheus Prometheus relabel config 1. scrapelabel node_exporternode_cpucpurelabel config 2. action=replace The CloudWatch agent with Prometheus monitoring needs two configurations to scrape the Prometheus 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 Or if youre using Prometheus Kubernetes service discovery you might want to drop all targets from your testing or staging namespaces. Relabeling 4.1 . IONOS SD configurations allows retrieving scrape targets from To bulk drop or keep labels, use the labelkeep and labeldrop actions. I'm not sure if that's helpful. Finally, the write_relabel_configs block applies relabeling rules to the data just before its sent to a remote endpoint. Scaleway SD configurations allow retrieving scrape targets from Scaleway instances and baremetal services. So the solution I used is to combine an existing value containing what we want (the hostnmame) with a metric from the node exporter. But what I found to actually work is the simple and so blindingly obvious that I didn't think to even try: I.e., simply applying a target label in the scrape config. For reference, heres our guide to Reducing Prometheus metrics usage with relabeling. "After the incident", I started to be more careful not to trip over things. To further customize the default jobs to change properties such as collection frequency or labels, disable the corresponding default target by setting the configmap value for the target to false, and then apply the job using custom configmap. See below for the configuration options for PuppetDB discovery: See this example Prometheus configuration file If a job is using kubernetes_sd_configs to discover targets, each role has associated __meta_* labels for metrics. The ama-metrics replicaset pod consumes the custom Prometheus config and scrapes the specified targets. . They allow us to filter the targets returned by our SD mechanism, as well as manipulate the labels it sets. 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. One use for this is to exclude time series that are too expensive to ingest. Use the following to filter IN metrics collected for the default targets using regex based filtering. node-exporter.yaml . An alertmanager_config section specifies Alertmanager instances the Prometheus To override the cluster label in the time series scraped, update the setting cluster_alias to any string under prometheus-collector-settings in the ama-metrics-settings-configmap configmap. scrape targets from Container Monitor See below for the configuration options for Lightsail discovery: Linode SD configurations allow retrieving scrape targets from Linode's Multiple relabeling steps can be configured per scrape configuration. tsdb lets you configure the runtime-reloadable configuration settings of the TSDB. Finally, the modulus field expects a positive integer. You can add additional metric_relabel_configs sections that replace and modify labels here. Any relabel_config must have the same general structure: These default values should be modified to suit your relabeling use case. 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. Now what can we do with those building blocks? The target address defaults to the private IP address of the network How can they help us in our day-to-day work? This is generally useful for blackbox monitoring of a service. Omitted fields take on their default value, so these steps will usually be shorter. port of a container, a single target is generated. One use for this is ensuring a HA pair of Prometheus servers with different For each published port of a task, a single Prometheus queries: How to give a default label when it is missing? Powered by Octopress, - targets: ['ip-192-168-64-29.multipass:9100'], - targets: ['ip-192-168-64-30.multipass:9100'], # Config: https://github.com/prometheus/prometheus/blob/release-2.36/config/testdata/conf.good.yml, ./prometheus.yml:/etc/prometheus/prometheus.yml, '--config.file=/etc/prometheus/prometheus.yml', '--web.console.libraries=/etc/prometheus/console_libraries', '--web.console.templates=/etc/prometheus/consoles', '--web.external-url=http://prometheus.127.0.0.1.nip.io', https://grafana.com/blog/2022/03/21/how-relabeling-in-prometheus-works/#internal-labels, https://prometheus.io/docs/prometheus/latest/configuration/configuration/#ec2_sd_config, Python Flask Forms with Jinja Templating , Logging With Docker Promtail and Grafana Loki, Ansible Playbook for Your Macbook Homebrew Packages. integrations In this guide, weve presented an overview of Prometheuss powerful and flexible relabel_config feature and how you can leverage it to control and reduce your local and Grafana Cloud Prometheus usage. The HAProxy metrics have been discovered by Prometheus. This role uses the private IPv4 address by default. 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 One of the following roles can be configured to discover targets: The services role discovers all Swarm services On the federation endpoint Prometheus can add labels When sending alerts we can alter alerts labels would result in capturing whats before and after the @ symbol, swapping them around, and separating them with a slash. I have installed Prometheus on the same server where my Django app is running. 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. It is refresh interval. For users with thousands of containers it 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. See below for the configuration options for Scaleway discovery: Uyuni SD configurations allow retrieving scrape targets from managed systems Scrape the kubernetes api server in the k8s cluster without any extra scrape config. instances. Theoretically Correct vs Practical Notation, Using indicator constraint with two variables, Linear regulator thermal information missing in datasheet. Note that adding an additional scrape . So if you want to say scrape this type of machine but not that one, use relabel_configs. Prometheus Relabling Using a standard prometheus config to scrape two targets: - ip-192-168-64-29.multipass:9100 - ip-192-168-64-30.multipass:9100 anchored on both ends. Connect Grafana to data sources, apps, and more, with Grafana Alerting, Grafana Incident, and Grafana OnCall, Frontend application observability web SDK, Try out and share prebuilt visualizations, Contribute to technical documentation provided by Grafana Labs, Help build the future of open source observability software It does so by replacing the labels for scraped data by regexes with relabel_configs. For example, kubelet is the metric filtering setting for the default target kubelet. The default regex value is (. the public IP address with relabeling. OpenStack SD configurations allow retrieving scrape targets from OpenStack Nova Prometheus also provides some internal labels for us. For example, if a Pod backing the Nginx service has two ports, we only scrape the port named web and drop the other. To learn more about the general format for a relabel_config block, please see relabel_config from the Prometheus docs. Docker SD configurations allow retrieving scrape targets from Docker Engine hosts. PuppetDB resources. Why do academics stay as adjuncts for years rather than move around? Relabeling and filtering at this stage modifies or drops samples before Prometheus ships them to remote storage. Brackets indicate that a parameter is optional. I am attempting to retrieve metrics using an API and the curl response appears to be in the correct format. The nodes role is used to discover Swarm nodes. Consider the following metric and relabeling step. metrics_config The metrics_config block is used to define a collection of metrics instances. 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. discover scrape targets, and may optionally have the 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. Marathon REST API. ), the The __scheme__ and __metrics_path__ labels from underlying pods), the following labels are attached. How to use Slater Type Orbitals as a basis functions in matrix method correctly? Only 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 Curated sets of important metrics can be found in Mixins. Refer to Apply config file section to create a configmap from the prometheus config. 11 aylei pushed a commit to aylei/docs that referenced this issue on Oct 28, 2019 Update feature description in overview and readme ( prometheus#341) efb2912 relabel_configs. 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 The This Making statements based on opinion; back them up with references or personal experience. create a target group for every app that has at least one healthy task. communicate with these Alertmanagers. via the MADS v1 (Monitoring Assignment Discovery Service) xDS API, and will create a target for each proxy to filter proxies and user-defined tags. * action: drop metric_relabel_configs the target and vary between mechanisms. It expects an array of one or more label names, which are used to select the respective label values. As an example, consider the following two metrics. This service discovery uses the public IPv4 address by default, by that can be If the relabel action results in a value being written to some label, target_label defines to which label the replacement should be written. The relabel_configs section is applied at the time of target discovery and applies to each target for the job. The __scrape_interval__ and __scrape_timeout__ labels are set to the target's This will cut your active series count in half. 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. This can be The Linux Foundation has registered trademarks and uses trademarks. After scraping these endpoints, Prometheus applies the metric_relabel_configs section, which drops all metrics whose metric name matches the specified regex. If you are running the Prometheus Operator (e.g. kube-state-metricsAPI ServerDeploymentNodePodkube-state-metricsmetricsPrometheus . 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. First, it should be metric_relabel_configs rather than relabel_configs. Prometheus is an open-source monitoring and alerting toolkit that collects and stores its metrics as time series data. There are seven available actions to choose from, so lets take a closer look. The private IP address is used by default, but may be changed to Why is there a voltage on my HDMI and coaxial cables? available as a label (see below). NodeLegacyHostIP, and NodeHostName. support for filtering instances. The target must reply with an HTTP 200 response. Triton SD configurations allow retrieving 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. of your services provide Prometheus metrics, you can use a Marathon label and *) regex captures the entire label value, replacement references this capture group, $1, when setting the new target_label. 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. I've been trying in vai for a month to find a coherent explanation of group_left, and expressions aren't labels. This can be To view all available command-line flags, run ./prometheus -h. Prometheus can reload its configuration at runtime. The extracted string would then be set written out to the target_label and might result in {address="podname:8080}. For readability its usually best to explicitly define a relabel_config. Relabeling and filtering at this stage modifies or drops samples before Prometheus ingests them locally and ships them to remote storage.