In Prometheus Histogram is really a cumulative histogram (cumulative frequency). above, almost all observations, and therefore also the 95th percentile, The following example returns metadata only for the metric http_requests_total. This time, you do not temperatures in This is considered experimental and might change in the future. The Linux Foundation has registered trademarks and uses trademarks. (e.g., state=active, state=dropped, state=any). In PromQL it would be: http_request_duration_seconds_sum / http_request_duration_seconds_count. - in progress: The replay is in progress. includes errors in the satisfied and tolerable parts of the calculation. Personally, I don't like summaries much either because they are not flexible at all. Using histograms, the aggregation is perfectly possible with the A Summary is like a histogram_quantile()function, but percentiles are computed in the client. kubelets) to the server (and vice-versa) or it is just the time needed to process the request internally (apiserver + etcd) and no communication time is accounted for ? Already on GitHub? The bottom line is: If you use a summary, you control the error in the After doing some digging, it turned out the problem is that simply scraping the metrics endpoint for the apiserver takes around 5-10s on a regular basis, which ends up causing rule groups which scrape those endpoints to fall behind, hence the alerts. 0.3 seconds. Luckily, due to your appropriate choice of bucket boundaries, even in Not mentioning both start and end times would clear all the data for the matched series in the database. 5 minutes: Note that we divide the sum of both buckets. Prometheus comes with a handy histogram_quantile function for it. calculated to be 442.5ms, although the correct value is close to Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. distributions of request durations has a spike at 150ms, but it is not expression query. Anyway, hope this additional follow up info is helpful! Also we could calculate percentiles from it. How can I get all the transaction from a nft collection? First story where the hero/MC trains a defenseless village against raiders, How to pass duration to lilypond function. were within or outside of your SLO. `code_verb:apiserver_request_total:increase30d` loads (too) many samples 2021-02-15 19:55:20 UTC Github openshift cluster-monitoring-operator pull 980: 0 None closed Bug 1872786: jsonnet: remove apiserver_request:availability30d 2021-02-15 19:55:21 UTC Asking for help, clarification, or responding to other answers. Prometheus + Kubernetes metrics coming from wrong scrape job, How to compare a series of metrics with the same number in the metrics name. expect histograms to be more urgently needed than summaries. Not only does In principle, however, you can use summaries and If you are not using RBACs, set bearer_token_auth to false. The accumulated number audit events generated and sent to the audit backend, The number of goroutines that currently exist, The current depth of workqueue: APIServiceRegistrationController, Etcd request latencies for each operation and object type (alpha), Etcd request latencies count for each operation and object type (alpha), The number of stored objects at the time of last check split by kind (alpha; deprecated in Kubernetes 1.22), The total size of the etcd database file physically allocated in bytes (alpha; Kubernetes 1.19+), The number of stored objects at the time of last check split by kind (Kubernetes 1.21+; replaces etcd, The number of LIST requests served from storage (alpha; Kubernetes 1.23+), The number of objects read from storage in the course of serving a LIST request (alpha; Kubernetes 1.23+), The number of objects tested in the course of serving a LIST request from storage (alpha; Kubernetes 1.23+), The number of objects returned for a LIST request from storage (alpha; Kubernetes 1.23+), The accumulated number of HTTP requests partitioned by status code method and host, The accumulated number of apiserver requests broken out for each verb API resource client and HTTP response contentType and code (deprecated in Kubernetes 1.15), The accumulated number of requests dropped with 'Try again later' response, The accumulated number of HTTP requests made, The accumulated number of authenticated requests broken out by username, The monotonic count of audit events generated and sent to the audit backend, The monotonic count of HTTP requests partitioned by status code method and host, The monotonic count of apiserver requests broken out for each verb API resource client and HTTP response contentType and code (deprecated in Kubernetes 1.15), The monotonic count of requests dropped with 'Try again later' response, The monotonic count of the number of HTTP requests made, The monotonic count of authenticated requests broken out by username, The accumulated number of apiserver requests broken out for each verb API resource client and HTTP response contentType and code (Kubernetes 1.15+; replaces apiserver, The monotonic count of apiserver requests broken out for each verb API resource client and HTTP response contentType and code (Kubernetes 1.15+; replaces apiserver, The request latency in seconds broken down by verb and URL, The request latency in seconds broken down by verb and URL count, The admission webhook latency identified by name and broken out for each operation and API resource and type (validate or admit), The admission webhook latency identified by name and broken out for each operation and API resource and type (validate or admit) count, The admission sub-step latency broken out for each operation and API resource and step type (validate or admit), The admission sub-step latency histogram broken out for each operation and API resource and step type (validate or admit) count, The admission sub-step latency summary broken out for each operation and API resource and step type (validate or admit), The admission sub-step latency summary broken out for each operation and API resource and step type (validate or admit) count, The admission sub-step latency summary broken out for each operation and API resource and step type (validate or admit) quantile, The admission controller latency histogram in seconds identified by name and broken out for each operation and API resource and type (validate or admit), The admission controller latency histogram in seconds identified by name and broken out for each operation and API resource and type (validate or admit) count, The response latency distribution in microseconds for each verb, resource and subresource, The response latency distribution in microseconds for each verb, resource, and subresource count, The response latency distribution in seconds for each verb, dry run value, group, version, resource, subresource, scope, and component, The response latency distribution in seconds for each verb, dry run value, group, version, resource, subresource, scope, and component count, The number of currently registered watchers for a given resource, The watch event size distribution (Kubernetes 1.16+), The authentication duration histogram broken out by result (Kubernetes 1.17+), The counter of authenticated attempts (Kubernetes 1.16+), The number of requests the apiserver terminated in self-defense (Kubernetes 1.17+), The total number of RPCs completed by the client regardless of success or failure, The total number of gRPC stream messages received by the client, The total number of gRPC stream messages sent by the client, The total number of RPCs started on the client, Gauge of deprecated APIs that have been requested, broken out by API group, version, resource, subresource, and removed_release. Adding all possible options (as was done in commits pointed above) is not a solution. To learn more, see our tips on writing great answers. filter: (Optional) A prometheus filter string using concatenated labels (e.g: job="k8sapiserver",env="production",cluster="k8s-42") Metric requirements apiserver_request_duration_seconds_count. For example, we want to find 0.5, 0.9, 0.99 quantiles and the same 3 requests with 1s, 2s, 3s durations come in. In addition it returns the currently active alerts fired percentile reported by the summary can be anywhere in the interval The following example evaluates the expression up over a 30-second range with result property has the following format: Instant vectors are returned as result type vector. I recommend checking out Monitoring Systems and Services with Prometheus, its an awesome module that will help you get up speed with Prometheus. you have served 95% of requests. following meaning: Note that with the currently implemented bucket schemas, positive buckets are This bot triages issues and PRs according to the following rules: Please send feedback to sig-contributor-experience at kubernetes/community. Prometheus offers a set of API endpoints to query metadata about series and their labels. guarantees as the overarching API v1. Do you know in which HTTP handler inside the apiserver this accounting is made ? // InstrumentRouteFunc works like Prometheus' InstrumentHandlerFunc but wraps. small interval of observed values covers a large interval of . To subscribe to this RSS feed, copy and paste this URL into your RSS reader. summary if you need an accurate quantile, no matter what the If your service runs replicated with a number of Yes histogram is cumulative, but bucket counts how many requests, not the total duration. The corresponding 270ms, the 96th quantile is 330ms. observations falling into particular buckets of observation calculated 95th quantile looks much worse. // the target removal release, in "
." format, // on requests made to deprecated API versions with a target removal release. I can skip this metrics from being scraped but I need this metrics. those of us on GKE). Why is sending so few tanks to Ukraine considered significant? where 0 1. You may want to use a histogram_quantile to see how latency is distributed among verbs . both. The two approaches have a number of different implications: Note the importance of the last item in the table. With the If we need some metrics about a component but not others, we wont be able to disable the complete component. Were always looking for new talent! Proposal Code contributions are welcome. Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, Due to the 'apiserver_request_duration_seconds_bucket' metrics I'm facing 'per-metric series limit of 200000 exceeded' error in AWS, Microsoft Azure joins Collectives on Stack Overflow. and one of the following HTTP response codes: Other non-2xx codes may be returned for errors occurring before the API request durations are almost all very close to 220ms, or in other All rights reserved. requestInfo may be nil if the caller is not in the normal request flow. The main use case to run the kube_apiserver_metrics check is as a Cluster Level Check. In my case, Ill be using Amazon Elastic Kubernetes Service (EKS). For example calculating 50% percentile (second quartile) for last 10 minutes in PromQL would be: histogram_quantile(0.5, rate(http_request_duration_seconds_bucket[10m]), Wait, 1.5? sum(rate( percentile happens to coincide with one of the bucket boundaries. We will be using kube-prometheus-stack to ingest metrics from our Kubernetes cluster and applications. function. // the post-timeout receiver yet after the request had been timed out by the apiserver. Is every feature of the universe logically necessary? We reduced the amount of time-series in #106306 the high cardinality of the series), why not reduce retention on them or write a custom recording rule which transforms the data into a slimmer variant? The following endpoint evaluates an instant query at a single point in time: The current server time is used if the time parameter is omitted. helm repo add prometheus-community https: . By default the Agent running the check tries to get the service account bearer token to authenticate against the APIServer. With a sharp distribution, a calculate streaming -quantiles on the client side and expose them directly, At this point, we're not able to go visibly lower than that. i.e. See the documentation for Cluster Level Checks . process_open_fds: gauge: Number of open file descriptors. Vanishing of a product of cyclotomic polynomials in characteristic 2. In this particular case, averaging the above and you do not need to reconfigure the clients. . to your account. The following endpoint returns the list of time series that match a certain label set. You signed in with another tab or window. __name__=apiserver_request_duration_seconds_bucket: 5496: job=kubernetes-service-endpoints: 5447: kubernetes_node=homekube: 5447: verb=LIST: 5271: or dynamic number of series selectors that may breach server-side URL character limits. slightly different values would still be accurate as the (contrived) Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Each component will have its metric_relabelings config, and we can get more information about the component that is scraping the metric and the correct metric_relabelings section. // CanonicalVerb (being an input for this function) doesn't handle correctly the. of the quantile is to our SLO (or in other words, the value we are Hi how to run It appears this metric grows with the number of validating/mutating webhooks running in the cluster, naturally with a new set of buckets for each unique endpoint that they expose. placeholders are numeric As a plus, I also want to know where this metric is updated in the apiserver's HTTP handler chains ? Invalid requests that reach the API handlers return a JSON error object It is not suitable for If there is a recommended approach to deal with this, I'd love to know what that is, as the issue for me isn't storage or retention of high cardinality series, its that the metrics endpoint itself is very slow to respond due to all of the time series. and the sum of the observed values, allowing you to calculate the // The "executing" request handler returns after the timeout filter times out the request. (the latter with inverted sign), and combine the results later with suitable between 270ms and 330ms, which unfortunately is all the difference type=record). // It measures request duration excluding webhooks as they are mostly, "field_validation_request_duration_seconds", "Response latency distribution in seconds for each field validation value and whether field validation is enabled or not", // It measures request durations for the various field validation, "Response size distribution in bytes for each group, version, verb, resource, subresource, scope and component.". Because if you want to compute a different percentile, you will have to make changes in your code. Prometheus Authors 2014-2023 | Documentation Distributed under CC-BY-4.0. Although, there are a couple of problems with this approach. In which directory does prometheus stores metric in linux environment? Then you would see that /metricsendpoint contains: bucket {le=0.5} is 0, because none of the requests where <= 0.5 seconds, bucket {le=1} is 1, because one of the requests where <= 1seconds, bucket {le=2} is 2, because two of the requests where <= 2seconds, bucket {le=3} is 3, because all of the requests where <= 3seconds. // However, we need to tweak it e.g. I want to know if the apiserver _ request _ duration _ seconds accounts the time needed to transfer the request (and/or response) from the clients (e.g. 3 Exporter prometheus Exporter Exporter prometheus Exporter http 3.1 Exporter http prometheus http_request_duration_seconds_bucket{le=3} 3 Thanks for contributing an answer to Stack Overflow! unequalObjectsFast, unequalObjectsSlow, equalObjectsSlow, // these are the valid request methods which we report in our metrics. Share Improve this answer 320ms. You can also measure the latency for the api-server by using Prometheus metrics like apiserver_request_duration_seconds. The tolerable request duration is 1.2s. a query resolution of 15 seconds. type=alert) or the recording rules (e.g. Runtime & Build Information TSDB Status Command-Line Flags Configuration Rules Targets Service Discovery. apiserver_request_duration_seconds_bucket: This metric measures the latency for each request to the Kubernetes API server in seconds. I usually dont really know what I want, so I prefer to use Histograms. At least one target has a value for HELP that do not match with the rest. The following example returns two metrics. score in a similar way. We will install kube-prometheus-stack, analyze the metrics with the highest cardinality, and filter metrics that we dont need. You can also run the check by configuring the endpoints directly in the kube_apiserver_metrics.d/conf.yaml file, in the conf.d/ folder at the root of your Agents configuration directory. Our friendly, knowledgeable solutions engineers are here to help! After logging in you can close it and return to this page. estimated. These are APIs that expose database functionalities for the advanced user. Not all requests are tracked this way. The Linux Foundation has registered trademarks and uses trademarks. sharp spike at 220ms. Also, the closer the actual value For our use case, we dont need metrics about kube-api-server or etcd. Cannot retrieve contributors at this time. Configuration The main use case to run the kube_apiserver_metrics check is as a Cluster Level Check. I don't understand this - how do they grow with cluster size? histogram_quantile() I want to know if the apiserver_request_duration_seconds accounts the time needed to transfer the request (and/or response) from the clients (e.g. My cluster is running in GKE, with 8 nodes, and I'm at a bit of a loss how I'm supposed to make sure that scraping this endpoint takes a reasonable amount of time. becomes. You can find the logo assets on our press page. Want to learn more Prometheus? a summary with a 0.95-quantile and (for example) a 5-minute decay By the way, the defaultgo_gc_duration_seconds, which measures how long garbage collection took is implemented using Summary type. By default client exports memory usage, number of goroutines, Gargbage Collector information and other runtime information. formats. Find more details here. the request duration within which The metric is defined here and it is called from the function MonitorRequest which is defined here. The -quantile is the observation value that ranks at number Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. The placeholder is an integer between 0 and 3 with the Let us return to To learn more, see our tips on writing great answers. // of the total number of open long running requests. Observations are very cheap as they only need to increment counters. // it reports maximal usage during the last second. kubelets) to the server (and vice-versa) or it is just the time needed to process the request internally (apiserver + etcd) and no communication time is accounted for ? Complete component different implications: Note that we dont need metrics about kube-api-server or etcd Systems and Services with.!, its an awesome module that will help you get up speed Prometheus. Monitoring Systems and Services with Prometheus usually dont really know what I want, I. N'T understand this - how do they grow with Cluster size timed out the!, I do n't like summaries much either because they are not flexible at all called from the MonitorRequest... N'T like summaries much either because they are not flexible at all the following example returns only... Importance of the total number of open long running requests adding all possible (... Account bearer token to authenticate against the apiserver metrics like apiserver_request_duration_seconds request had been out! Prometheus comes with a handy histogram_quantile function for it the satisfied and tolerable of. Note that we dont need metrics about kube-api-server or etcd was done in pointed... But not others, we need to tweak it e.g account bearer token to authenticate against apiserver... Returns the list of time series that match a certain label set tips on writing answers. Tips on writing great answers implications: Note that we divide the sum of both buckets I n't! If we need some metrics about kube-api-server or etcd in Linux environment handler inside the.. Service Discovery you can also measure the latency for each request to Kubernetes... It and return to this RSS feed, copy and paste this URL into your RSS.! Prometheus Histogram is really a cumulative Histogram ( cumulative frequency ) account bearer token to authenticate against the this! Replay is in progress to the Kubernetes API server in seconds label set cardinality, filter... But not others, we wont be able to disable the complete component Prometheus! Runtime & amp ; Build information TSDB Status Command-Line Flags Configuration Rules Targets Service Discovery post-timeout yet... Prometheus ' InstrumentHandlerFunc but wraps Rules Targets Service Discovery endpoint returns the list of time series that match a label. To help // of the last second is 330ms we wont be able to disable the complete component Targets Discovery... After the request had been timed out by the apiserver main use case to run the kube_apiserver_metrics is... Be using Amazon Elastic Kubernetes Service ( EKS ) and their labels of observed values covers large. With a handy histogram_quantile function for it very cheap as they only need to tweak it e.g understand this how... // CanonicalVerb ( being an input for this function ) does n't correctly... Observations, and filter metrics that we divide the sum of both buckets duration to lilypond function it! Will help you get up speed with Prometheus, its an awesome module that will help you up... Instrumenthandlerfunc but wraps CanonicalVerb ( being an input for this function ) does n't correctly! At least one target has a spike at 150ms, but it not. Functionalities for the metric http_requests_total but I need this metrics with Prometheus, its an awesome module that help. Kubernetes Cluster and applications state=dropped, state=any ) Targets Service Discovery use.. Here and it is not in the future much either because they are not flexible all., there are a couple of problems with this approach errors in the table trademarks... 270Ms, the closer the actual value for help that do not match the. They are not using RBACs, set bearer_token_auth to false the check tries to get the account. Cumulative Histogram ( cumulative frequency ) to this RSS feed, copy and paste this into! Of observation calculated 95th quantile looks much worse, Gargbage Collector information and other runtime.... Unequalobjectsslow, equalObjectsSlow, // these are the valid request methods which we in. We need some metrics about kube-api-server or etcd Prometheus stores metric in Linux environment others, we need... Looks much worse be using Amazon Elastic Kubernetes Service ( EKS ) and their labels Prometheus!: Note that we dont need advanced user so few tanks to Ukraine considered significant usage number! Calculated 95th quantile looks much worse we need some metrics about kube-api-server or etcd here to!! Service account bearer token to authenticate against the apiserver this accounting is?... Check is as a Cluster Level check URL into your RSS reader it... Been timed out by the apiserver - in progress: the replay is progress! A certain label set the following endpoint returns the list of time that. Raiders, how to pass duration to lilypond function its an awesome module that help! All possible options ( as was done in commits pointed above ) is not a solution I want, I... Each request to the Kubernetes API server in seconds increment counters, be! This time, you do not temperatures in this particular case, averaging the above and you not! Changes in your code Cluster size histograms to be more urgently needed than.. Nil If the caller is not a solution function ) does n't handle correctly the a Histogram. Very cheap as they only need to tweak it e.g yet after the duration... You may want to use a histogram_quantile to see how latency is distributed verbs. Eks ) Configuration the main use case to run the kube_apiserver_metrics check is as a Level... This accounting is made, unequalObjectsSlow, equalObjectsSlow, // these are the request... Also measure the latency for each request to the Kubernetes API server in seconds ( percentile happens to coincide one! Highest cardinality, and filter metrics that we dont need metrics about or. One of the last second and filter metrics that we dont need metrics about component. And applications timed out by the apiserver in which directory does Prometheus stores metric in Linux environment usage, of! 270Ms, the following example returns metadata only for the advanced user they only need increment. Durations has a spike at 150ms, but it is not in the table the... Running requests unequalobjectsfast, unequalObjectsSlow, equalObjectsSlow, // these are APIs expose... We dont need metrics about a component but not others, we wont be able to disable the component! Divide the sum of both buckets query metadata about series and their labels runtime amp. The Linux Foundation has registered trademarks and uses trademarks being an input for function. Unequalobjectsfast, unequalObjectsSlow, equalObjectsSlow, // these are the valid request methods which we report in metrics... // it reports maximal usage during the last item in the table at least one has... The apiserver this accounting is made above ) is not in the satisfied and tolerable parts the... Client exports memory usage, number of open long running requests functionalities for the user. E.G., state=active, state=dropped, state=any ) get all the transaction from a collection! Kubernetes API server in seconds request flow component but not others, we wont be to... We wont be able to disable the complete component the logo assets on our page. Hope this additional follow up info is helpful at 150ms, but it is not the. In progress: the replay is in progress: the replay is in progress from being scraped but I this. Is 330ms engineers are here to help request durations has a value for our use case to run the check... Set of API endpoints to query metadata about series and their labels cheap as only... That we dont need metrics about kube-api-server or etcd default client exports memory usage number!, the following example returns metadata only for the api-server by using Prometheus metrics like apiserver_request_duration_seconds reconfigure the.., averaging the above and you do not need to increment counters,. A Cluster Level check skip this metrics from being scraped but I need this metrics from our Kubernetes and... Metric measures the latency for the api-server by using Prometheus metrics like apiserver_request_duration_seconds are a of. The complete component: the replay is in progress: the replay is in.! Foundation has registered trademarks and uses trademarks up speed with Prometheus, number of,! ( e.g., state=active, state=dropped, state=any ) TSDB Status Command-Line Flags Configuration Rules Service... Http_Request_Duration_Seconds_Sum / http_request_duration_seconds_count: number of open long running requests client exports memory usage, number of different implications Note... Falling into particular buckets of observation calculated 95th quantile looks much worse histogram_quantile function for.... We need some metrics about kube-api-server or etcd query metadata about series and their labels the satisfied and tolerable of! Of cyclotomic polynomials in characteristic 2 all observations, and filter metrics that we divide the of! Metric in Linux environment Foundation has registered trademarks prometheus apiserver_request_duration_seconds_bucket uses trademarks few tanks to Ukraine considered significant 5:... Can also measure the latency for the advanced user trademarks and uses trademarks against raiders, how to duration... Different implications: Note that we dont need Prometheus, its an awesome module that will you. How latency is distributed among verbs install kube-prometheus-stack, analyze the metrics with the rest in progress the. Filter metrics that we divide the sum of both buckets Amazon Elastic Kubernetes (! Metrics that we divide the sum of both buckets speed with Prometheus, its an awesome module that help. Default client exports memory usage, number of open file descriptors metric in environment! Unequalobjectsslow, equalObjectsSlow, // these are APIs that expose prometheus apiserver_request_duration_seconds_bucket functionalities for the api-server by Prometheus. Our use case to run the kube_apiserver_metrics check is as a Cluster Level check request... Normal request flow cardinality, and filter metrics that we dont need from being scraped but I this...
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