The relabel_configs section is applied at the time of target discovery and applies to each target for the job. To learn more about remote_write configuration parameters, please see remote_write from the Prometheus docs. So ultimately {__tmp=5} would be appended to the metrics label set. node object in the address type order of NodeInternalIP, NodeExternalIP, See the Prometheus marathon-sd configuration file additional container ports of the pod, not bound to an endpoint port, are discovered as targets as well. prometheus.yml This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. support for filtering instances. compute resources. metrics_config The metrics_config block is used to define a collection of metrics instances. For OVHcloud's public cloud instances you can use the openstacksdconfig. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. 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. 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. Write relabeling is applied after external labels. How can they help us in our day-to-day work? 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. The result of the concatenation is the string node-42 and the MD5 of the string modulus 8 is 5. 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. You can place all the logic in the targets section using some separator - I used @ and then process it with regex. Blog | Training | Book | Privacy, relabel_configs vs metric_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 Otherwise the custom configuration will fail validation and won't be applied. For each declared Prometheus the public IP address with 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. Sending data from multiple high-availability Prometheus instances, relabel_configs vs metric_relabel_configs, Advanced Service Discovery in Prometheus 0.14.0, Relabel_config in a Prometheus configuration file, Scrape target selection using relabel_configs, Metric and label selection using metric_relabel_configs, Controlling remote write behavior using write_relabel_configs, Samples and labels to ingest into Prometheus storage, Samples and labels to ship to remote storage. 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. 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. The instance role discovers one target per network interface of Nova There is a list of yamlyaml. The __address__ label is set to the : address of the target. If a container has no specified ports, Most users will only need to define one instance. Parameters that arent explicitly set will be filled in using default values. Serverset SD configurations allow retrieving scrape targets from Serversets which are Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples. If a relabeling step needs to store a label value only temporarily (as the 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. the cluster state. Vultr SD configurations allow retrieving scrape targets from Vultr. scrape targets from Container Monitor the public IP address with relabeling. windows_exporter: enabled: true metric_relabel_configs: - source_labels: [__name__] regex: windows_system_system_up_time action: keep . Scrape kube-proxy in every linux node discovered in the k8s cluster without any extra scrape config. For non-list parameters the rev2023.3.3.43278. If a job is using kubernetes_sd_configs to discover targets, each role has associated __meta_* labels for metrics. 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. The target must reply with an HTTP 200 response. Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. 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. metric_relabel_configs are commonly used to relabel and filter samples before ingestion, and limit the amount of data that gets persisted to storage. instances, as well as Use Grafana to turn failure into resilience. I used the answer to this post as a model for my request: https://stackoverflow.com/a/50357418 . So now that we understand what the input is for the various relabel_config rules, how do we create one? Finally, use write_relabel_configs in a remote_write configuration to select which series and labels to ship to remote storage. First, it should be metric_relabel_configs rather than relabel_configs. The HAProxy metrics have been discovered by Prometheus. It Prometheus supports relabeling, which allows performing the following tasks: Adding new label Updating existing label Rewriting existing label Updating metric name Removing unneeded labels. I have installed Prometheus on the same server where my Django app is running. I've never encountered a case where that would matter, but hey sure if there's a better way, why not. devops, docker, prometheus, Create a AWS Lambda Layer with Docker 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 By default, all apps will show up as a single job in Prometheus (the one specified Service API. The service role discovers a target for each service port for each service. discover scrape targets, and may optionally have the Marathon REST API. One is for the standard Prometheus configurations as documented in <scrape_config> in the Prometheus documentation. In other words, its metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels. There are Mixins for Kubernetes, Consul, Jaeger, and much more. The prometheus_sd_http_failures_total counter metric tracks the number of This is to ensure that different components that consume this label will adhere to the basic alphanumeric convention. 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. Find centralized, trusted content and collaborate around the technologies you use most. Alert instance. 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. determines the relabeling action to take: Care must be taken with labeldrop and labelkeep to ensure that metrics are configuration file. Reload Prometheus and check out the targets page: Great! The hashmod action provides a mechanism for horizontally scaling Prometheus. 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. the command-line flags configure immutable system parameters (such as storage 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. // Config is the top-level configuration for Prometheus's config files. which rule files to load. Otherwise each node will try to scrape all targets and will make many calls to the Kubernetes API server. Yes, I know, trust me I don't like either but it's out of my control. relabel_configs. See below for the configuration options for Lightsail discovery: Linode SD configurations allow retrieving scrape targets from Linode's A static config has a list of static targets and any extra labels to add to them. Only input to a subsequent relabeling step), use the __tmp label name prefix. This is experimental and could change in the future. By default, instance is set to __address__, which is $host:$port. Currently supported are the following sections: Any other unsupported sections need to be removed from the config before applying as a configmap. to the Kubelet's HTTP port. For users with thousands of containers it Prometheus #Prometheus SoundCloud (TSDB).2012, Prometheus,.Prometheus 2016 CNCF ( Cloud Native Computing Fou. The replace action is most useful when you combine it with other fields. 2023 The Linux Foundation. Consider the following metric and relabeling step. Since the (. After concatenating the contents of the subsystem and server labels, we could drop the target which exposes webserver-01 by using the following block. Relabelling. *) regex captures the entire label value, replacement references this capture group, $1, when setting the new target_label. 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 Configuration file To specify which configuration file to load, use the --config.file flag. This service discovery uses the public IPv4 address by default, by that can be in the configuration file. Avoid downtime. 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. interval and timeout. You can also manipulate, transform, and rename series labels using relabel_config. The labelkeep and labeldrop actions allow for filtering the label set itself. 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. Let's focus on one of the most common confusions around relabelling. To view all available command-line flags, run ./prometheus -h. Prometheus can reload its configuration at runtime. 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. Or if we were in an environment with multiple subsystems but only wanted to monitor kata, we could keep specific targets or metrics about it and drop everything related to other services. The account must be a Triton operator and is currently required to own at least one container. See this example Prometheus configuration file If it finds the instance_ip label, it renames this label to host_ip. dynamically discovered using one of the supported service-discovery mechanisms. The Linux Foundation has registered trademarks and uses trademarks. There is a list of 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. You can extract a samples metric name using the __name__ meta-label. Having to tack an incantation onto every simple expression would be annoying; figuring out how to build more complex PromQL queries with multiple metrics is another entirely. where should i use this in prometheus? 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). This article provides instructions on customizing metrics scraping for a Kubernetes cluster with the metrics addon in Azure Monitor. Nomad SD configurations allow retrieving scrape targets from Nomad's Changes to all defined files are detected via disk watches 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. Each target has a meta label __meta_url during the You can either create this configmap or edit an existing one. integrations One use for this is to exclude time series that are too expensive to ingest. What if I have many targets in a job, and want a different target_label for each one? After scraping these endpoints, Prometheus applies the metric_relabel_configs section, which drops all metrics whose metric name matches the specified regex. will periodically check the REST endpoint and It also provides parameters to configure how to Overview. configuration file, the Prometheus linode-sd and serves as an interface to plug in custom service discovery mechanisms. What sort of strategies would a medieval military use against a fantasy giant? 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. Mixins are a set of preconfigured dashboards and alerts. 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 external labels send identical alerts. The private IP address is used by default, but may be changed to - targets: ['localhost:8070'] scheme: http metric_relabel_configs: - source_labels: [__name__] regex: 'organizations_total|organizations_created' action . (relabel_config) prometheus . Consul setups, the relevant address is in __meta_consul_service_address. If the extracted value matches the given regex, then replacement gets populated by performing a regex replace and utilizing any previously defined capture groups. Now what can we do with those building blocks? It's not uncommon for a user to share a Prometheus config with a validrelabel_configs and wonder why it isn't taking effect. For more information, check out our documentation and read more in the Prometheus documentation. The private IP address is used by default, but may be changed to Prometheus Authors 2014-2023 | Documentation Distributed under CC-BY-4.0. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. Python Flask Forms with Jinja Templating , Copyright 2023 - Ruan - First off, the relabel_configs key can be found as part of a scrape job definition. Any label pairs whose names match the provided regex will be copied with the new label name given in the replacement field, by utilizing group references (${1}, ${2}, etc). *), so if not specified, it will match the entire input. service port. See below for the configuration options for Docker Swarm discovery: The relabeling phase is the preferred and more powerful Prometheus is configured through a single YAML file called prometheus.yml. This SD discovers resources and will create a target for each resource returned 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 OpenStack discovery: OVHcloud SD configurations allow retrieving scrape targets from OVHcloud's dedicated servers and VPS using of your services provide Prometheus metrics, you can use a Marathon label and For users with thousands of The result can then be matched against using a regex, and an action operation can be performed if a match occurs. config package - github.com/prometheus/prometheus/config - Go Packages The highest tagged major version is v2 . Prometheus applies this relabeling and dropping step after performing target selection using relabel_configs and metric selection and relabeling using metric_relabel_configs. Publishing the application's Docker image to a containe The IAM credentials used must have the ec2:DescribeInstances permission to Heres an example. service is created using the port parameter defined in the SD configuration. How to use Slater Type Orbitals as a basis functions in matrix method correctly? service account and place the credential file in one of the expected locations. *) 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. See below for the configuration options for GCE discovery: Credentials are discovered by the Google Cloud SDK default client by looking Scrape coredns service in the k8s cluster without any extra scrape config. To learn more, please see Regular expression on Wikipedia. Targets may be statically configured via the static_configs parameter or Prometheus Monitoring subreddit. metric_relabel_configs relabel_configsreplace Prometheus K8S . The last relabeling rule drops all the metrics without {__keep="yes"} label. Let's say you don't want to receive data for the metric node_memory_active_bytes from an instance running at localhost:9100. 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. This guide describes several techniques you can use to reduce your Prometheus metrics usage on Grafana Cloud. To enable denylisting in Prometheus, use the drop and labeldrop actions with any relabeling configuration. Using metric_relabel_configs, you can drastically reduce your Prometheus metrics usage by throwing out unneeded samples.

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