Prometheus drop metrics with label This can be done with action: labeldrop or action: labelkeep relabeling rules at drop： 满足特定条件的实例不采集，其他的采集。 ' prometheus ' # metrics_path defaults to ' /metrics ' # scheme defaults to ' http '. metric_relabel_configs: - Dropping metrics on certain condition. . The use cases for these actions are fairly uncommon though, so we won't cover them in detail here. Metric names. 789 An example with a Metric with no labels and MetricPoint with a timestamp: # TYPE foo gauge foo 17. Dropping labels: You can drop specific labels from your metrics altogether during the telemetry itself, which reduces the overall cardinality. I am working with a job 'A' which has a lot of metrics and one of these metrics 'B' has 150 labels. static_configs: - targets: 说下上面的配置： source_labels指定我们我们需要处理的源标签， target_labels指定了我们要replace后的标签名字， action指定 Hello! For some reason it seems that prometheus is dropping cadvisor metrics for about half of our ~250 nodes. g. In our case time series on the left side of / contain code and instance labels, while time series on the right side of / contain only instance label. For metrics with unused labels, it’s not quite as simple as dropping labels that aren’t used. Individual organizations may want to approach some of these practices, e. When using Prometheus for monitoring and Grafana for visualization, it’s easy to accumulate a large number of metrics. Prometheus cannot find matching pairs of time series, so it returns nothing according to . So, when you exclude any metric this way it will not be stored in db, using this approach you can reduce disk usage and exclude all not necessary metrics. I tried this regex for drop metric with cpecific labels in my values. Each action in Prometheus relabel_configs dictates how labels are managed: drop: Removes the label entirely. There are 3 ways in Common use cases for relabeling include dropping high-cardinality labels or unnecessary metrics, improving readability by renaming labels or In this guide I help demystify the often misunderstood relabel_configs and metric_relabel_configs in Prometheus to better monitor your website and APIs. However this obviously quickly becomes cumbersome with any kind of complexity in regex and/or source labels, eg: for a (likely to grow and change over time) whitelist of metric-label combinations in remote_write. This works. What are you trying to achieve? I want to drop specific metrics so they don’t get ingested into prometheus. So, if you see that the target contains unexpected labels or doesn't contain expected labels or the target is completely dropped, then the first thing to do is to look at relabel_configs section for the particular target. It will preserve the old label name as well So, that could be a problem, it’s not a true “replace in place”. This tutorial uses the same base as Collecting Prometheus metrics. This follows my previous article about Prometheus metrics analysis: How to find unused Prometheus metrics using mimirtool. e. P. NOTE: Prometheus 2. Keep in mind that dropping labels can create duplicate series, make Labels are very important in Prometheus. I want to reduce the number of metrics that are scraped under Kube-state-metrics. 5”,namespace=“tuya”,topicType What Grafana version and what operating system are you using? Docker image: prom/prometheus:v2. Of these 150 labels I only want to keep 3 (D,E,F) and drop the rest. river to filter metrics. Commented Apr 5, 2017 at 13:10. The purpose of this post is to explain the value of Prometheus’ relabel_config block, the different Types of Actions in Relabeling. 41 also added the keepequal and dropequal actions that allow you to keep or drop a target based on the equality of source and target labels. kube-state-metrics: namespaceOverride: "" rbac: create: true releaseLabel: true prometheus: monitor: enabled: true ## Scrape interval. Is there any straightforward way to do this? The following relabeling rule should drop all the metrics with istio_requests_total name: - action: drop source_labels: [__name__] regex: istio_requests_total If you need dropping all the metrics with the destination_service label, which starts from unknown prefix, then use the following relabeling rule: - action: drop source_labels: [destination_service] regex: "unknown. receivers: prometheus: config: scrape_configs: - job labeldrop only drops a label attached to a metrics, which is good as Brian says for pruning unnecessary info labels. 04. The prometheus. e. Regularly review your metrics to ensure only relevant ones are being stored. Issue with overriding labels in prometheus. ; keep - Keeps metrics where regex Labels Updated on Nov 15, 2023. Identifying the unnecessary metrics at source, deleting the existing unneeded metrics from your TSDB regularly will keep your Prometheus storage & performance intact. Photo by Michael Dziedzic on Unsplash. I can persist them selectively with something like this: metric_relabel_configs: - source_labels: [__name__] regex: (?i)(metric1|metric2|metric3) action: keep However I want to drop all of the other, non-matching metrics. The relabeling rule can be simplified with if condition when using VictoriaMetrics - Prometheus-like monitoring solution I work on: For example, the following relabeling rule would drop metric with {job="foo",instance="bar"} labels: - action: drop source_labels: [job, instance] regex: "foo;bar" Dropping metrics on certain condition. The overwhelming majority of metrics I wanted to drop came from my Ceph clusters and the k8s cluster itself. I'd like to be able to display all the metrics matching the prefix without having to The Prometheus scrape configuration above is used to keep track of drop notifications. SuperQ SuperQ. relabel component is used to drop, add, or filter metrics. For example, I have two metrics with different labels: node_metrics_first{foo="bar",AAA="aaa"} node_metrics_second{BBB="bbb",CCC="ccc"} How can I use relabeling/metricRelabeling drop/labeldrop in servicemonitor to remove foo label in node_metrics_first, which means I should get the result?: my_metric{label="a"} 1 my_metric{label="b"} 6 my_metric{label="total"} 7. 1. The labeldrop action works like labelkeep, but drops a label rather than keeping it. See examples below. A metric name Filter Prometheus metrics. 51. The metrics that are useless have label_one and label_two that do not match. In the first example, you can safely drop the ip label as the remaining series are unique. Docker; Run the example. * and it will include all metrics. In If you want to drop a label with a particular value from the collected metric, then use the following relabeling rule at metric_relabel_configs section of the needed In this article we’ll look at both identifying, dropping them at source and deleting the already stored metrics from Prometheus. however when I try to write a config it remove/exculde/fiter that metric completely with other label combination set. Taking a counter as an example: I would like a Grafana variable that contains all the Prometheus metric names with a given prefix. Dropping a label can result in duplicate series, which will be dropped by Prometheus. ; replace: Replaces a It just sets an empty value to url_rule label for metrics with names starting from test_ prefix. Some client libraries, for example Go, will actively try to stop you doing I am new to Prometheus and relabeling. 文章浏览阅读2. To drop a metric, you can use Prometheus’ metric relabeling with the drop action. Many of these Reduce labels. yml configuration to drop specific metrics or labels. What you actually need to use is metric_relabel_configs. Prerequisites. Labels are key metric_relabel_configs: metric relabeling process starts once the metrics is scraped. yaml in Prometheus operator chart. The highlighed dropped setting is used to select drop notifications for the metric (the default dropped:['false'] creates flow metrics based packet samples and is used to If I have a metric with the following labels: my_metric{group="group a"} 100 my_metric{group="group b"} 100 my_metric{group="group c"} 100 my_metric{group="misc group a"} 1 my_metric{group="misc group b"} 2 my_metric{group="misc group c"} 1 my_metric{group="misc group d"} 1 当action设置为keep时，Prometheus会丢弃source_labels的值中没有匹配到regex正则表达式内容的Target实例，而当action设置为drop时，则会丢弃那些source_labels的值匹配到regex正则表达式内容的Target实例。可以简单理解为keep用于选择，而drop用于排除。 By default Prometheus performs the division for pairs of time series with identical sets of labels on the left and the right side of / operator. See the best practices on naming and labels. Optimizing Prometheus- Drop Unused metrics- Part 7. Once that action is completed the metric name and labelset must still be unique so it's not mixed up with another metric. metric_to_keep{ label_one="identical-value", label_two="identical-value" } metric_to_drop{ label_one="different-value", label_two="value-is-different" } I thought I had a great solution by Here are some relevant examples of relabeling techniques that can be used in Prometheus: 1. : metric_relabel_configs: - source_labels: [ __name__ ] regex: 'istio_. ; keep: Retains the target with matching labels. or this: my_metric{label="a"} 1 my_metric{label="b"} 6 my_metric{} 7. i. All metrics can have labels, allowing grouping of related time series. This can be done with drop_if_equal action, which is Labels are very important in Prometheus. It matches the regular expression in regex against all label names. Removing HA replica labels from I have an application that has a lot of useless metrics that I want to weed out before scraping. 6w次，点赞13次，收藏33次。本文介绍Prometheus中的标签管理，包括标签的基本概念、元数据标签、自定义标签及重新标记标签的方法。并详细解释了如何利用标签进行数据查询、过滤及删除等操作。 The metric and label conventions presented in this document are not required for using Prometheus, but can serve as both a style-guide and a collection of best practices. ; source_labels: we're utilizing the label __name__ to Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. Let's look at some example use cases for the labelkeep action. There is no easy way to tell Prometheus to not scrape the specific metrics, however you can do a trick with relabeling in the config file. Prometheus stores all data as time series. *' action: drop in this example all metrics which name starts with istio_ will not be stored. 2. What could be causing this? I would expect prometheus to either keep metrics from all nodes or drop metrics from all nodes. How to rename label within a metric in Prometheus. prometheus中如何过滤不需要的指标在prometheus的采集中会发现一个job中可能包含几十上百个指标，而每个指标的下的数据量也很大。在生产环境中我们实际上用的到指标可能只有几十个，而哪些被prometheus采集过来我们又没有用到的指标就成了浪费部署资源的元凶。这个时候我们就要考虑对prometheus采集 This tells Prometheus that you want to do some action against metrics with these labels. instance and pod labels change for these metrics when the job scales up and down. ; hashmod - Hashes the concatenated labels, calculates its modulo modulus and writes the result to the target_label. Every time series is uniquely identified by its metric name and labels. It follows the provided target relabeling rules at relabel_configs section. naming conventions, differently. relabel using relabel. ellgw lnbhg cxnli mtyrn orervd owkzk rzdt xts dqlzd xry cbpgw ssxqv glnqmbmt mebq wmgxq