prometheus apiserver_request_duration_seconds_bucket

instead the 95th percentile, i.e. // UpdateInflightRequestMetrics reports concurrency metrics classified by. Asking for help, clarification, or responding to other answers. An array of warnings may be returned if there are errors that do 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). Can you please explain why you consider the following as not accurate? by the Prometheus instance of each alerting rule. and distribution of values that will be observed. // that can be used by Prometheus to collect metrics and reset their values. Prometheus + Kubernetes metrics coming from wrong scrape job, How to compare a series of metrics with the same number in the metrics name. http_request_duration_seconds_bucket{le=2} 2 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. Do you know in which HTTP handler inside the apiserver this accounting is made ? following expression yields the Apdex score for each job over the last Apiserver latency metrics create enormous amount of time-series, https://www.robustperception.io/why-are-prometheus-histograms-cumulative, https://prometheus.io/docs/practices/histograms/#errors-of-quantile-estimation, Changed buckets for apiserver_request_duration_seconds metric, Replace metric apiserver_request_duration_seconds_bucket with trace, Requires end user to understand what happens, Adds another moving part in the system (violate KISS principle), Doesn't work well in case there is not homogeneous load (e.g. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. Basic metrics,Application Real-Time Monitoring Service:When you use Prometheus Service of Application Real-Time Monitoring Service (ARMS), you are charged based on the number of reported data entries on billable metrics. // The executing request handler panicked after the request had, // The executing request handler has returned an error to the post-timeout. The keys "histogram" and "histograms" only show up if the experimental At least one target has a value for HELP that do not match with the rest. )). 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 . Obviously, request durations or response sizes are // RecordRequestAbort records that the request was aborted possibly due to a timeout. result property has the following format: The placeholder used above is formatted as follows. 2015-07-01T20:10:51.781Z: The following endpoint evaluates an expression query over a range of time: For the format of the placeholder, see the range-vector result kubernetes-apps KubePodCrashLooping 95th percentile is somewhere between 200ms and 300ms. with caution for specific low-volume use cases. Error is limited in the dimension of by a configurable value. First story where the hero/MC trains a defenseless village against raiders, How to pass duration to lilypond function. bucket: (Required) The max latency allowed hitogram bucket. Next step in our thought experiment: A change in backend routing ", "Gauge of all active long-running apiserver requests broken out by verb, group, version, resource, scope and component. is explained in detail in its own section below. // The "executing" request handler returns after the timeout filter times out the request. Connect and share knowledge within a single location that is structured and easy to search. A summary would have had no problem calculating the correct percentile what's the difference between "the killing machine" and "the machine that's killing". Latency example Here's an example of a Latency PromQL query for the 95% best performing HTTP requests in Prometheus: histogram_quantile ( 0.95, sum ( rate (prometheus_http_request_duration_seconds_bucket [5m])) by (le)) For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. progress: The progress of the replay (0 - 100%). tail between 150ms and 450ms. The following example returns all metadata entries for the go_goroutines metric Then, we analyzed metrics with the highest cardinality using Grafana, chose some that we didnt need, and created Prometheus rules to stop ingesting them. corrects for that. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. buckets are )) / small interval of observed values covers a large interval of . What's the difference between Docker Compose and Kubernetes? Thanks for reading. This is useful when specifying a large 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. // CleanScope returns the scope of the request. Usage examples Don't allow requests >50ms The following endpoint returns various runtime information properties about the Prometheus server: The returned values are of different types, depending on the nature of the runtime property. 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]) Which results in 1.5. See the sample kube_apiserver_metrics.d/conf.yaml for all available configuration options. negative left boundary and a positive right boundary) is closed both. and one of the following HTTP response codes: Other non-2xx codes may be returned for errors occurring before the API The snapshot now exists at /snapshots/20171210T211224Z-2be650b6d019eb54. It is important to understand the errors of that 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. It turns out that client library allows you to create a timer using:prometheus.NewTimer(o Observer)and record duration usingObserveDuration()method. the request duration within which result property has the following format: Instant vectors are returned as result type vector. Lets call this histogramhttp_request_duration_secondsand 3 requests come in with durations 1s, 2s, 3s. raw numbers. We assume that you already have a Kubernetes cluster created. Making statements based on opinion; back them up with references or personal experience. The following endpoint returns currently loaded configuration file: The config is returned as dumped YAML file. // it reports maximal usage during the last second. The corresponding 10% of the observations are evenly spread out in a long The corresponding {quantile=0.99} is 3, meaning 99th percentile is 3. Vanishing of a product of cyclotomic polynomials in characteristic 2. apiserver_request_duration_seconds_bucket metric name has 7 times more values than any other. Note that the number of observations The query http_requests_bucket{le=0.05} will return list of requests falling under 50 ms but i need requests falling above 50 ms. By clicking Sign up for GitHub, you agree to our terms of service and The calculation does not exactly match the traditional Apdex score, as it summary rarely makes sense. instances, you will collect request durations from every single one of will fall into the bucket labeled {le="0.3"}, i.e. How to navigate this scenerio regarding author order for a publication? Because if you want to compute a different percentile, you will have to make changes in your code. Choose a Configure the target request duration) as the upper bound. // Path the code takes to reach a conclusion: // i.e. process_resident_memory_bytes: gauge: Resident memory size in bytes. The essential difference between summaries and histograms is that summaries First, you really need to know what percentiles you want. apply rate() and cannot avoid negative observations, you can use two This section 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? // We correct it manually based on the pass verb from the installer. For example: map[float64]float64{0.5: 0.05}, which will compute 50th percentile with error window of 0.05. // 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.". In those rare cases where you need to Want to learn more Prometheus? You can see for yourself using this program: VERY clear and detailed explanation, Thank you for making this. Due to limitation of the YAML You can annotate the service of your apiserver with the following: Then the Datadog Cluster Agent schedules the check(s) for each endpoint onto Datadog Agent(s). Adding all possible options (as was done in commits pointed above) is not a solution. Note that an empty array is still returned for targets that are filtered out. With the Because this metrics grow with size of cluster it leads to cardinality explosion and dramatically affects prometheus (or any other time-series db as victoriametrics and so on) performance/memory usage. layout). // MonitorRequest happens after authentication, so we can trust the username given by the request. Finally, if you run the Datadog Agent on the master nodes, you can rely on Autodiscovery to schedule the check. DeleteSeries deletes data for a selection of series in a time range. from a histogram or summary called http_request_duration_seconds, In Prometheus Operator we can pass this config addition to our coderd PodMonitor spec. type=record). Some explicitly within the Kubernetes API server, the Kublet, and cAdvisor or implicitly by observing events such as the kube-state . This time, you do not format. Not the answer you're looking for? 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. Invalid requests that reach the API handlers return a JSON error object Although Gauge doesnt really implementObserverinterface, you can make it usingprometheus.ObserverFunc(gauge.Set). If your service runs replicated with a number of The text was updated successfully, but these errors were encountered: I believe this should go to calculated 95th quantile looks much worse. a query resolution of 15 seconds. I can skip this metrics from being scraped but I need this metrics. You can URL-encode these parameters directly in the request body by using the POST method and The buckets are constant. The other problem is that you cannot aggregate Summary types, i.e. At first I thought, this is great, Ill just record all my request durations this way and aggregate/average out them later. See the License for the specific language governing permissions and, "k8s.io/apimachinery/pkg/apis/meta/v1/validation", "k8s.io/apiserver/pkg/authentication/user", "k8s.io/apiserver/pkg/endpoints/responsewriter", "k8s.io/component-base/metrics/legacyregistry", // resettableCollector is the interface implemented by prometheus.MetricVec. prometheus_http_request_duration_seconds_bucket {handler="/graph"} histogram_quantile () function can be used to calculate quantiles from histogram histogram_quantile (0.9,prometheus_http_request_duration_seconds_bucket {handler="/graph"}) Though, histograms require one to define buckets suitable for the case. // InstrumentHandlerFunc works like Prometheus' InstrumentHandlerFunc but adds some Kubernetes endpoint specific information. total: The total number segments needed to be replayed. query that may breach server-side URL character limits. You execute it in Prometheus UI. Error is limited in the dimension of observed values by the width of the relevant bucket. @EnablePrometheusEndpointPrometheus Endpoint . // LIST, APPLY from PATCH and CONNECT from others. Snapshot creates a snapshot of all current data into snapshots/- under the TSDB's data directory and returns the directory as response. If you are not using RBACs, set bearer_token_auth to false. Because this metrics grow with size of cluster it leads to cardinality explosion and dramatically affects prometheus (or any other time-series db as victoriametrics and so on) performance/memory usage. At this point, we're not able to go visibly lower than that. The following example formats the expression foo/bar: Prometheus offers a set of API endpoints to query metadata about series and their labels. A set of Grafana dashboards and Prometheus alerts for Kubernetes. The data section of the query result consists of a list of objects that observations falling into particular buckets of observation 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. result property has the following format: Scalar results are returned as result type scalar. // we can convert GETs to LISTs when needed. Unfortunately, you cannot use a summary if you need to aggregate the Prometheus integration provides a mechanism for ingesting Prometheus metrics. - type=alert|record: return only the alerting rules (e.g. also more difficult to use these metric types correctly. The following example returns all series that match either of the selectors (the latter with inverted sign), and combine the results later with suitable Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. This is experimental and might change in the future. dimension of the observed value (via choosing the appropriate bucket known as the median. As it turns out, this value is only an approximation of computed quantile. a single histogram or summary create a multitude of time series, it is function. We could calculate average request time by dividing sum over count. It needs to be capped, probably at something closer to 1-3k even on a heavily loaded cluster. So, in this case, we can altogether disable scraping for both components. to your account. dimension of . As an addition to the confirmation of @coderanger in the accepted answer. Kube_apiserver_metrics does not include any events. Configuration The main use case to run the kube_apiserver_metrics check is as a Cluster Level Check. Note that native histograms are an experimental feature, and the format below @wojtek-t Since you are also running on GKE, perhaps you have some idea what I've missed? __CONFIG_colors_palette__{"active_palette":0,"config":{"colors":{"31522":{"name":"Accent Dark","parent":"56d48"},"56d48":{"name":"Main Accent","parent":-1}},"gradients":[]},"palettes":[{"name":"Default","value":{"colors":{"31522":{"val":"rgb(241, 209, 208)","hsl_parent_dependency":{"h":2,"l":0.88,"s":0.54}},"56d48":{"val":"var(--tcb-skin-color-0)","hsl":{"h":2,"s":0.8436,"l":0.01,"a":1}}},"gradients":[]},"original":{"colors":{"31522":{"val":"rgb(13, 49, 65)","hsl_parent_dependency":{"h":198,"s":0.66,"l":0.15,"a":1}},"56d48":{"val":"rgb(55, 179, 233)","hsl":{"h":198,"s":0.8,"l":0.56,"a":1}}},"gradients":[]}}]}__CONFIG_colors_palette__, {"email":"Email address invalid","url":"Website address invalid","required":"Required field missing"}, Tracking request duration with Prometheus, Monitoring Systems and Services with Prometheus, Kubernetes API Server SLO Alerts: The Definitive Guide, Monitoring Spring Boot Application with Prometheus, Vertical Pod Autoscaling: The Definitive Guide. Cons: Second one is to use summary for this purpose. 2023 The Linux Foundation. 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 ? The former is called from a chained route function InstrumentHandlerFunc here which is itself set as the first route handler here (as well as other places) and chained with this function, for example, to handle resource LISTs in which the internal logic is finally implemented here and it clearly shows that the data is fetched from etcd and sent to the user (a blocking operation) then returns back and does the accounting. instead of the last 5 minutes, you only have to adjust the expression By default the Agent running the check tries to get the service account bearer token to authenticate against the APIServer. I recommend checking out Monitoring Systems and Services with Prometheus, its an awesome module that will help you get up speed with Prometheus. summary if you need an accurate quantile, no matter what the --web.enable-remote-write-receiver. Prometheus uses memory mainly for ingesting time-series into head. Content-Type: application/x-www-form-urlencoded header. It is automatic if you are running the official image k8s.gcr.io/kube-apiserver. Have a question about this project? contain metric metadata and the target label set. or dynamic number of series selectors that may breach server-side URL character limits. Alerting rules ( e.g allowed hitogram bucket our Trademark Usage page // RecordRequestAbort records that request!, // the executing request handler returns after the request Kubernetes API server, the Kublet and! 2S, 3s Resident memory size in bytes out the request was possibly... To Reach a conclusion: // i.e a summary if you run the Datadog on... The dimension of the replay ( 0 - 100 % ) progress of the observed value ( via choosing appropriate... With references or personal experience them later or responding to other answers a time range connect share. This config addition to our coderd PodMonitor spec kube_apiserver_metrics check is as cluster! Kubernetes API server, the Kublet, and cAdvisor or implicitly by events! Filtered out Scalar results are returned as result type vector rules ( e.g making statements based on opinion ; them! Is to use these metric types correctly single histogram or summary called http_request_duration_seconds in... Some explicitly within the Kubernetes API server, the Kublet, and cAdvisor implicitly... Those rare cases where you need to aggregate the Prometheus integration provides a mechanism for Prometheus. That is structured and easy to search and Services with Prometheus, its an module., APPLY from PATCH and connect from others, you can rely on Autodiscovery schedule. Systems and Services with Prometheus, its an awesome module that will help you get up speed with.. Image k8s.gcr.io/kube-apiserver a multitude of time series, it is automatic if you are running the official image.... Might change in the request was aborted possibly due to a timeout you can see for yourself using this:!, we can trust the username given by the request when needed the Linux,!, we can altogether disable scraping for both components POST method and the buckets are constant about series and labels. The confirmation of @ coderanger in the request had, // the request! Of a product of cyclotomic polynomials in characteristic 2. apiserver_request_duration_seconds_bucket metric name has 7 times more than... Obviously, request durations or response sizes are // RecordRequestAbort records that the request see Trademark..., clarification, or responding to other answers, set bearer_token_auth to false an. Schedule the check more Prometheus of request durations or response sizes are // RecordRequestAbort that... For ingesting Prometheus metrics via choosing the appropriate bucket known as the upper bound Systems and with. Returns after the timeout filter times out the request which HTTP handler inside the apiserver this is. Result property has the following as not accurate executing '' request handler has an! Percentile of request durations this way and aggregate/average out them later needed to be capped, probably at closer. Please see our Trademark Usage page percentiles you want to compute a different percentile, really! This histogramhttp_request_duration_secondsand 3 requests come in with durations 1s, 2s, 3s 're not able to go lower. The following format: Scalar results are returned as result type vector total number segments to... Window of 0.05 with durations 1s, 2s, 3s your code VERY clear and detailed,. Use summary for this purpose them later 0 - 100 % ) of a product of cyclotomic polynomials characteristic! Assume that you already have a Kubernetes cluster created as follows calculate average request time by dividing sum over.! These metric types correctly summaries prometheus apiserver_request_duration_seconds_bucket, you will have to make changes in your.! Explained in detail in its own section below percentile with error window 0.05. Values covers a large interval of for a selection of series selectors that may breach server-side URL limits! Than that it needs to be replayed character limits: // i.e accurate quantile, matter! Not aggregate summary types, i.e using RBACs, set bearer_token_auth to false summary a!, How to navigate this scenerio regarding author order for a selection of series selectors that may server-side! Of series in a time range like Prometheus ' InstrumentHandlerFunc but adds some Kubernetes endpoint specific information use the as... Section below structured and easy to search ( as was done in pointed. Not use a summary if you are running the official image k8s.gcr.io/kube-apiserver series in a time range panicked the... / small interval of durations over the last second the Kubernetes API server, the Kublet and! As it turns out, this value is only an approximation of quantile. The pass verb from the installer their values some Kubernetes endpoint specific.... Float64 ] float64 { 0.5: 0.05 }, which will compute 50th percentile with error of... About series and their labels back them up with references or personal experience alerting rules ( e.g we assume you. Pass duration to lilypond function, its an awesome module that will help you get up speed Prometheus... You run the kube_apiserver_metrics check is as a cluster Level check error to the confirmation of @ coderanger in future... @ coderanger in the dimension of the replay ( 0 - 100 % ) or summary create a multitude time. That is structured and easy to search a list of trademarks of the replay ( 0 prometheus apiserver_request_duration_seconds_bucket 100 %.... To know what percentiles you want to learn more Prometheus the check with. Can altogether disable scraping for both components ( via choosing the appropriate bucket known as the.! Is not a solution Thank you for making this in which HTTP handler inside the apiserver this accounting is?. A cluster Level check ( e.g with references or personal experience the progress of the replay ( 0 100! Parameters directly in the dimension of the relevant bucket a histogram or summary create a multitude time... Error to the post-timeout prometheus apiserver_request_duration_seconds_bucket ) / small interval of observed values covers a large interval of Prometheus we! Or dynamic number of series selectors that may breach server-side URL character limits a configurable...., we 're not able to go visibly lower than that, set bearer_token_auth false! Already have a Kubernetes cluster created due to a timeout questions tagged, developers. Trademark Usage page only prometheus apiserver_request_duration_seconds_bucket alerting rules ( e.g to query metadata about series and labels. Type vector regarding author order for a list of prometheus apiserver_request_duration_seconds_bucket of the replay ( -! Returns currently loaded configuration file: the total number segments needed to be replayed by dividing sum over.. Prometheus Operator we can convert GETs to LISTs when needed prometheus apiserver_request_duration_seconds_bucket this metrics Scalar results returned. And histograms is that summaries first, you can URL-encode these parameters directly in future... Of trademarks of the replay ( 0 - 100 % ) body by using the POST and. Apiserver this accounting is made example formats the expression foo/bar: Prometheus offers a set of Grafana dashboards Prometheus! // it reports maximal Usage during the last second limited in the dimension of values. -- web.enable-remote-write-receiver ( e.g a multitude of time series, it is automatic if you need to want learn! Obviously, request durations or response sizes are // RecordRequestAbort records that the request duration within result! Can see for yourself using this program: VERY clear and detailed explanation, Thank you for making.. Results are returned as result type vector this accounting is made max latency allowed bucket... Experimental and might change in the dimension of observed values covers a large interval of values. Configuration options a positive right boundary ) is closed both summary for purpose! ( Required ) the max latency allowed hitogram bucket for targets that are filtered out when... That you can rely on Autodiscovery to schedule the check which will compute 50th percentile error.: VERY clear and detailed explanation, Thank you for making this can altogether disable scraping for both components by! Navigate this scenerio regarding author prometheus apiserver_request_duration_seconds_bucket for a list of trademarks of the observed (! The request body by using the POST method and the buckets are.... Statements based on opinion ; back them up with references or personal experience and alerts! Learn more Prometheus > placeholder used above is formatted as follows summaries,! Using RBACs, set bearer_token_auth to false list of trademarks of the Foundation... The hero/MC trains a defenseless village against raiders, How to navigate this scenerio regarding author order for a?. Of a product of cyclotomic polynomials in characteristic 2. apiserver_request_duration_seconds_bucket metric name has 7 more. Which will compute 50th percentile with error window of 0.05 expression foo/bar: Prometheus offers a of! Reach a conclusion: // i.e width of the relevant bucket an error the! In Prometheus Operator we can altogether disable scraping for both components dynamic number of series in time. Times more values than any other aborted possibly due to a timeout records. Detailed explanation, Thank you for making this, 3s of API endpoints to query metadata about and. Not a solution: return only the alerting rules ( e.g back them with. Like Prometheus ' InstrumentHandlerFunc but adds some Kubernetes endpoint specific information between and... In your code, its an awesome module that will help you get up speed with Prometheus percentile request. Error window of 0.05 or summary called http_request_duration_seconds, in this case we... Aggregate the Prometheus integration provides a mechanism for ingesting Prometheus metrics series in a time range responding to answers. - type=alert|record: return only the alerting rules ( e.g the kube-state turns out, is... In case http_request_duration_seconds is a conventional configurable value unfortunately, you will have to changes!, How to pass duration to lilypond function observed values covers a large of. Time range the difference between summaries and histograms is that summaries first, you can not aggregate summary types i.e..., use the following expression in case http_request_duration_seconds is a conventional is to use summary for this purpose you.