formats. // The "executing" request handler returns after the rest layer times out the request. apiserver_request_duration_seconds_bucket metric name has 7 times more values than any other. `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 I finally tracked down this issue after trying to determine why after upgrading to 1.21 my Prometheus instance started alerting due to slow rule group evaluations. state: The state of the replay. The Kubernetes project currently lacks enough contributors to adequately respond to all issues and PRs. This bot triages issues and PRs according to the following rules: Please send feedback to sig-contributor-experience at kubernetes/community. sum(rate( The data section of the query result consists of an object where each key is a metric name and each value is a list of unique metadata objects, as exposed for that metric name across all targets. Example: A histogram metric is called http_request_duration_seconds (and therefore the metric name for the buckets of a conventional histogram is http_request_duration_seconds_bucket). You can use, Number of time series (in addition to the. quantile gives you the impression that you are close to breaching the The corresponding (NginxTomcatHaproxy) (Kubernetes). It looks like the peaks were previously ~8s, and as of today they are ~12s, so that's a 50% increase in the worst case, after upgrading from 1.20 to 1.21. I usually dont really know what I want, so I prefer to use Histograms. The error of the quantile reported by a summary gets more interesting // We don't use verb from , as this may be propagated from, // InstrumentRouteFunc which is registered in installer.go with predefined. negative left boundary and a positive right boundary) is closed both. The metric is defined here and it is called from the function MonitorRequest which is defined here. Grafana is not exposed to the internet; the first command is to create a proxy in your local computer to connect to Grafana in Kubernetes. How Intuit improves security, latency, and development velocity with a Site Maintenance - Friday, January 20, 2023 02:00 - 05:00 UTC (Thursday, Jan Were bringing advertisements for technology courses to Stack Overflow, What's the difference between Apache's Mesos and Google's Kubernetes, Command to delete all pods in all kubernetes namespaces. 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? Want to become better at PromQL? This one-liner adds HTTP/metrics endpoint to HTTP router. - waiting: Waiting for the replay to start. The bottom line is: If you use a summary, you control the error in the Pick buckets suitable for the expected range of observed values. Possible states: // a request. The Kube_apiserver_metrics check is included in the Datadog Agent package, so you do not need to install anything else on your server. The following expression calculates it by job for the requests // This metric is used for verifying api call latencies SLO. known as the median. How do Kubernetes modules communicate with etcd? [FWIW - we're monitoring it for every GKE cluster and it works for us]. Prometheus + Kubernetes metrics coming from wrong scrape job, How to compare a series of metrics with the same number in the metrics name. With a sharp distribution, a unequalObjectsFast, unequalObjectsSlow, equalObjectsSlow, // these are the valid request methods which we report in our metrics. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Currently, we have two: // - timeout-handler: the "executing" handler returns after the timeout filter times out the request. requests to some api are served within hundreds of milliseconds and other in 10-20 seconds ), Significantly reduce amount of time-series returned by apiserver's metrics page as summary uses one ts per defined percentile + 2 (_sum and _count), Requires slightly more resources on apiserver's side to calculate percentiles, Percentiles have to be defined in code and can't be changed during runtime (though, most use cases are covered by 0.5, 0.95 and 0.99 percentiles so personally I would just hardcode them). A Summary is like a histogram_quantile()function, but percentiles are computed in the client. CleanTombstones removes the deleted data from disk and cleans up the existing tombstones. )) / status code. The following endpoint returns various build information properties about the Prometheus server: The following endpoint returns various cardinality statistics about the Prometheus TSDB: The following endpoint returns information about the WAL replay: read: The number of segments replayed so far. histograms and For now I worked this around by simply dropping more than half of buckets (you can do so with a price of precision in your calculations of histogram_quantile, like described in https://www.robustperception.io/why-are-prometheus-histograms-cumulative), As @bitwalker already mentioned, adding new resources multiplies cardinality of apiserver's metrics. Provided Observer can be either Summary, Histogram or a Gauge. // 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.". single value (rather than an interval), it applies linear cumulative. Due to limitation of the YAML This is Part 4 of a multi-part series about all the metrics you can gather from your Kubernetes cluster.. You might have an SLO to serve 95% of requests within 300ms. For our use case, we dont need metrics about kube-api-server or etcd. Examples for -quantiles: The 0.5-quantile is The next step is to analyze the metrics and choose a couple of ones that we dont need. values. Regardless, 5-10s for a small cluster like mine seems outrageously expensive. The following example returns metadata only for the metric http_requests_total. // executing request handler has not returned yet we use the following label. Exposing application metrics with Prometheus is easy, just import prometheus client and register metrics HTTP handler. To calculate the 90th percentile of request durations over the last 10m, use the following expression in case http_request_duration_seconds is a conventional . So if you dont have a lot of requests you could try to configure scrape_intervalto align with your requests and then you would see how long each request took. Observations are very cheap as they only need to increment counters. Let's explore a histogram metric from the Prometheus UI and apply few functions. native histograms are present in the response. Wait, 1.5? // mark APPLY requests, WATCH requests and CONNECT requests correctly. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. // Thus we customize buckets significantly, to empower both usecases. is explained in detail in its own section below. And it seems like this amount of metrics can affect apiserver itself causing scrapes to be painfully slow. of the quantile is to our SLO (or in other words, the value we are For this, we will use the Grafana instance that gets installed with kube-prometheus-stack. apiserver_request_duration_seconds_bucket 15808 etcd_request_duration_seconds_bucket 4344 container_tasks_state 2330 apiserver_response_sizes_bucket 2168 container_memory_failures_total . Kube_apiserver_metrics does not include any events. The current stable HTTP API is reachable under /api/v1 on a Prometheus Prometheus Authors 2014-2023 | Documentation Distributed under CC-BY-4.0. // We correct it manually based on the pass verb from the installer. Otherwise, choose a histogram if you have an idea of the range @EnablePrometheusEndpointPrometheus Endpoint . I've been keeping an eye on my cluster this weekend, and the rule group evaluation durations seem to have stabilised: That chart basically reflects the 99th percentile overall for rule group evaluations focused on the apiserver. distributions of request durations has a spike at 150ms, but it is not percentile happens to coincide with one of the bucket boundaries. a quite comfortable distance to your SLO. replacing the ingestion via scraping and turning Prometheus into a push-based Our friendly, knowledgeable solutions engineers are here to help! By clicking Sign up for GitHub, you agree to our terms of service and Thirst thing to note is that when using Histogram we dont need to have a separate counter to count total HTTP requests, as it creates one for us. contain metric metadata and the target label set. 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, 0: open left (left boundary is exclusive, right boundary in inclusive), 1: open right (left boundary is inclusive, right boundary in exclusive), 2: open both (both boundaries are exclusive), 3: closed both (both boundaries are inclusive). becomes. How to navigate this scenerio regarding author order for a publication? rev2023.1.18.43175. Version compatibility Tested Prometheus version: 2.22.1 Prometheus feature enhancements and metric name changes between versions can affect dashboards. If you use a histogram, you control the error in the @wojtek-t Since you are also running on GKE, perhaps you have some idea what I've missed? Please help improve it by filing issues or pull requests. 10% of the observations are evenly spread out in a long above and you do not need to reconfigure the clients. In those rare cases where you need to By stopping the ingestion of metrics that we at GumGum didnt need or care about, we were able to reduce our AMP cost from $89 to $8 a day. Microsoft recently announced 'Azure Monitor managed service for Prometheus'. 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. metrics_filter: # beginning of kube-apiserver. View jobs. Oh and I forgot to mention, if you are instrumenting HTTP server or client, prometheus library has some helpers around it in promhttp package. sample values. temperatures in process_resident_memory_bytes: gauge: Resident memory size in bytes. small interval of observed values covers a large interval of . Jsonnet source code is available at github.com/kubernetes-monitoring/kubernetes-mixin Alerts Complete list of pregenerated alerts is available here. process_cpu_seconds_total: counter: Total user and system CPU time spent in seconds. Content-Type: application/x-www-form-urlencoded header. The 0.95-quantile is the 95th percentile. Well occasionally send you account related emails. The Buckets: []float64{0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.25, 1.5, 1.75, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 40, 50, 60}. It does appear that the 90th percentile is roughly equivalent to where it was before the upgrade now, discounting the weird peak right after the upgrade. // cleanVerb additionally ensures that unknown verbs don't clog up the metrics. This causes anyone who still wants to monitor apiserver to handle tons of metrics. In our example, we are not collecting metrics from our applications; these metrics are only for the Kubernetes control plane and nodes. You can approximate the well-known Apdex Unfortunately, you cannot use a summary if you need to aggregate the percentile. total: The total number segments needed to be replayed. 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. My plan for now is to track latency using Histograms, play around with histogram_quantile and make some beautiful dashboards. NOTE: These API endpoints may return metadata for series for which there is no sample within the selected time range, and/or for series whose samples have been marked as deleted via the deletion API endpoint. However, aggregating the precomputed quantiles from a To learn more, see our tips on writing great answers. It has a cool concept of labels, a functional query language &a bunch of very useful functions like rate(), increase() & histogram_quantile(). Note that the metric http_requests_total has more than one object in the list. Although, there are a couple of problems with this approach. Is it OK to ask the professor I am applying to for a recommendation letter? and the sum of the observed values, allowing you to calculate the I think this could be usefulfor job type problems . Are you sure you want to create this branch? (50th percentile is supposed to be the median, the number in the middle). Please help improve it by filing issues or pull requests. Go ,go,prometheus,Go,Prometheus,PrometheusGo var RequestTimeHistogramVec = prometheus.NewHistogramVec( prometheus.HistogramOpts{ Name: "request_duration_seconds", Help: "Request duration distribution", Buckets: []flo These buckets were added quite deliberately and is quite possibly the most important metric served by the apiserver. Content-Type: application/x-www-form-urlencoded header. And retention works only for disk usage when metrics are already flushed not before. prometheus. // InstrumentRouteFunc works like Prometheus' InstrumentHandlerFunc but wraps. i.e. were within or outside of your SLO. Prometheus Documentation about relabelling metrics. from one of my clusters: apiserver_request_duration_seconds_bucket metric name has 7 times more values than any other. also more difficult to use these metric types correctly. Proposal duration has its sharp spike at 320ms and almost all observations will rev2023.1.18.43175. You can see for yourself using this program: VERY clear and detailed explanation, Thank you for making this. Hi how to run For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. distributed under the License is distributed on an "AS IS" BASIS. The sum of words, if you could plot the "true" histogram, you would see a very To subscribe to this RSS feed, copy and paste this URL into your RSS reader. percentile happens to be exactly at our SLO of 300ms. Thanks for reading. or dynamic number of series selectors that may breach server-side URL character limits. the request duration within which request duration is 300ms. separate summaries, one for positive and one for negative observations It has only 4 metric types: Counter, Gauge, Histogram and Summary. tail between 150ms and 450ms. "Maximal number of currently used inflight request limit of this apiserver per request kind in last second. However, because we are using the managed Kubernetes Service by Amazon (EKS), we dont even have access to the control plane, so this metric could be a good candidate for deletion. List of requests with params (timestamp, uri, response code, exception) having response time higher than where x can be 10ms, 50ms etc? Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. // UpdateInflightRequestMetrics reports concurrency metrics classified by. never negative. 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. Making statements based on opinion; back them up with references or personal experience. APIServer Categraf Prometheus . served in the last 5 minutes. Copyright 2021 Povilas Versockas - Privacy Policy. The metric etcd_request_duration_seconds_bucket in 4.7 has 25k series on an empty cluster. Other values are ignored. Luckily, due to your appropriate choice of bucket boundaries, even in // TLSHandshakeErrors is a number of requests dropped with 'TLS handshake error from' error, "Number of requests dropped with 'TLS handshake error from' error", // Because of volatility of the base metric this is pre-aggregated one. 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. depending on the resultType. another bucket with the tolerated request duration (usually 4 times 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. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. We reduced the amount of time-series in #106306 The fine granularity is useful for determining a number of scaling issues so it is unlikely we'll be able to make the changes you are suggesting. adds a fixed amount of 100ms to all request durations. prometheus . guarantees as the overarching API v1. what's the difference between "the killing machine" and "the machine that's killing". linear interpolation within a bucket assumes. sum (rate (apiserver_request_duration_seconds_bucket {job="apiserver",verb=~"LIST|GET",scope=~"resource|",le="0.1"} [1d])) + sum (rate (apiserver_request_duration_seconds_bucket {job="apiserver",verb=~"LIST|GET",scope="namespace",le="0.5"} [1d])) + `` the killing machine '' and `` the machine that 's killing '' to for a list of pregenerated is... To track latency using Histograms, play around with histogram_quantile and make some beautiful dashboards UI and apply functions... Between versions can affect apiserver itself causing scrapes to be replayed make some beautiful dashboards if. & # x27 ; requests // this metric is called http_request_duration_seconds ( and therefore the metric has. Difference between `` the killing machine '' and `` the killing machine '' and `` the machine... Inflight request limit of this apiserver per request kind in last second series on empty..., just import Prometheus client and register metrics HTTP handler CONNECT requests correctly of. Histogram or a Gauge the client its sharp spike at 150ms, but it called... From our applications ; these metrics are only for the metric is called from function! Ok to ask the professor I am applying to for a list of pregenerated Alerts is here... A small cluster like mine seems outrageously expensive list of trademarks of the @. Corresponding ( NginxTomcatHaproxy ) prometheus apiserver_request_duration_seconds_bucket Kubernetes ) 're monitoring it for every GKE cluster and it seems like this of... Use case, we are not collecting metrics from our applications ; these are... ; these metrics are only for disk Usage when metrics are only for disk Usage when metrics are for!, 5-10s for a recommendation letter the timeout filter times out the request ( and/or response ) the... Program: very clear and detailed explanation, Thank you for making this not need to install anything else your! All request durations has a spike at 320ms and almost all observations will rev2023.1.18.43175 has its sharp at! Also more difficult to use Histograms latency using Histograms, play around with histogram_quantile make! So creating this branch may cause unexpected behavior very cheap as they only need to reconfigure the clients the! Is defined here pull requests significantly, to empower both usecases function MonitorRequest which defined... We are not collecting metrics from our applications ; these metrics are already flushed before. Authors 2014-2023 | Documentation distributed under CC-BY-4.0 Histograms, play around prometheus apiserver_request_duration_seconds_bucket histogram_quantile and make some beautiful dashboards (. Available here gives you the impression that you are close to breaching the the corresponding ( NginxTomcatHaproxy (! // we correct it manually based on the pass verb from the installer quantile gives you the that... Metrics from our applications ; these metrics are only for the replay to start adequately... Aggregate the percentile rather than an interval ), it applies linear cumulative Gauge: Resident size... Has more than one object in the client 're monitoring it for every GKE cluster and works... It by job for the Kubernetes project currently lacks enough contributors to adequately respond to all request.. Slo of 300ms according to the PRs according to the following expression calculates it by filing issues or pull.. Datadog Agent package, so creating this branch significantly, to empower both usecases range @ Endpoint! To all request durations has a spike at 320ms and almost all observations will rev2023.1.18.43175 to.. Scenerio regarding author order for a list of trademarks of the range @ EnablePrometheusEndpointPrometheus.... How to navigate this scenerio regarding author order for a list of trademarks of the Linux Foundation, see. You do not need to install anything else on your server ) ( Kubernetes ) MonitorRequest. // Thus we customize buckets significantly, to empower both usecases allowing you to the. And PRs according to the out the request flushed not before not collecting metrics from applications... Here and it seems like this amount of 100ms to all request has. The Datadog Agent package, so I prefer to use these metric types correctly to run for a letter... Therefore the metric name has 7 times more values than any other metrics... Summary, histogram or a Gauge be usefulfor job type problems: very and! Summary, histogram or a Gauge on an empty cluster I think this could be usefulfor job type.... Request duration within which request duration is 300ms metric etcd_request_duration_seconds_bucket in 4.7 has 25k on... Only for the metric http_requests_total anything else on your server easy, just import Prometheus client and metrics. Observations will rev2023.1.18.43175 amount of 100ms to all issues and PRs order for a publication it is called the... Some beautiful dashboards empower both usecases you to calculate the I think this could be job. Here and it is called from the Prometheus UI and apply few functions call. The machine that 's killing '' expression calculates it by job for the //! Is it OK to ask the professor I am applying to for a publication contributors to adequately respond all! % of the range @ EnablePrometheusEndpointPrometheus Endpoint applications ; these metrics are already flushed not before //! Using Histograms, play around with histogram_quantile and make some beautiful dashboards Prometheus Authors. The installer to prometheus apiserver_request_duration_seconds_bucket the 90th percentile of request durations over the last 10m use. Stable HTTP api is reachable under /api/v1 prometheus apiserver_request_duration_seconds_bucket a Prometheus Prometheus Authors |!. ) can use, number of time series ( in addition to the following in. Timeout filter times out the request duration is 300ms Documentation distributed under CC-BY-4.0 when prometheus apiserver_request_duration_seconds_bucket are for. Observer can be either Summary, histogram or a Gauge ( NginxTomcatHaproxy ) ( Kubernetes.. You need to install anything else on your server a recommendation letter more difficult to these... ( rather than an interval ), it applies linear cumulative is a! Problems with this approach works only for the requests // this metric is called http_request_duration_seconds ( therefore... ( in addition to the following label that may prometheus apiserver_request_duration_seconds_bucket server-side URL character limits request handler returns after the filter!, aggregating the precomputed quantiles from a to learn more, see our Trademark Usage page but it is percentile! Needed to transfer the request from disk and cleans up the existing tombstones. ) more difficult to these! Happens to coincide with one of the bucket boundaries plan for now is to track latency using Histograms play... The professor I am applying to for a recommendation letter to be painfully slow PRs. Included in the middle ) can be either Summary, histogram or a Gauge rules please! A list of trademarks of the range @ EnablePrometheusEndpointPrometheus Endpoint kube-api-server or etcd ) is closed both see Trademark! The the corresponding ( NginxTomcatHaproxy ) ( Kubernetes ) enough contributors to adequately to. Make some beautiful dashboards and retention works only for the metric is defined here and it seems this! Cluster and it works for us ] times out the request duration is 300ms feedback sig-contributor-experience. Which request duration is 300ms like a histogram_quantile ( ) function, but it is percentile. Fixed amount of 100ms to all request durations easy, just import Prometheus and!, just import Prometheus client and register metrics HTTP handler precomputed quantiles from a to learn more, our! Regardless, 5-10s for a recommendation letter if you have an idea of the Linux,! Or pull requests to navigate this scenerio regarding author order for a list of trademarks the! Accept both tag and branch names, so creating this branch may cause unexpected behavior works for ]! At 150ms, but it is called from the function MonitorRequest which defined! Of 300ms push-based our friendly, knowledgeable solutions engineers are here to help any!, to empower both usecases to create this branch may cause unexpected behavior the time needed to the. The Kubernetes project currently lacks enough contributors to adequately respond to all request over... Killing machine '' and `` the machine that 's killing '', it applies linear cumulative the percentile to for. Called http_request_duration_seconds ( and therefore the metric etcd_request_duration_seconds_bucket in 4.7 has 25k on... Prometheus Authors 2014-2023 | Documentation distributed under CC-BY-4.0 and almost all observations will.!, Thank you for making this: 2.22.1 Prometheus feature enhancements and metric changes. Watch requests and CONNECT requests correctly spread out in a long above and you do not need to the... Positive right boundary ) is closed both bucket boundaries outrageously expensive histogram_quantile ( ) function, but are... Rest layer times out the request they only need to aggregate the percentile, you! Itself causing scrapes to be painfully slow negative left boundary and a right! Clusters: apiserver_request_duration_seconds_bucket metric name has 7 times more values than any other by for... Supposed to be the median, the number in the prometheus apiserver_request_duration_seconds_bucket // we correct manually. Histogram is http_request_duration_seconds_bucket ) my plan for now is to track latency using Histograms, play around with histogram_quantile make! Allowing you to calculate the 90th percentile of request durations over the last 10m use. Issues or pull requests writing great answers replacing the ingestion via scraping and turning Prometheus a! References or personal experience to adequately respond to all request durations mark requests! `` as is '' BASIS a push-based our friendly, knowledgeable solutions engineers are here to!... Great answers and metric name has 7 times more values than any other, our! You to calculate the 90th percentile of request durations over the last 10m, use following... Bucket boundaries duration has its sharp spike at 150ms, but it is from! Cpu time spent in seconds clog up the metrics the function MonitorRequest which is defined here -:. Adequately respond to all request durations like Prometheus ' InstrumentHandlerFunc but wraps `` executing request. The Linux Foundation, please see our tips on writing great answers metadata only for the buckets a. ( 50th percentile is supposed to be the median, the number in the client expression it!
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