prometheus apiserver_request_duration_seconds_bucket

Then, we analyzed metrics with the highest cardinality using Grafana, chose some that we didnt need, and created Prometheus rules to stop ingesting them. If we need some metrics about a component but not others, we wont be able to disable the complete component. Observations are very cheap as they only need to increment counters. negative left boundary and a positive right boundary) is closed both. )). In that case, the sum of observations can go down, so you Personally, I don't like summaries much either because they are not flexible at all. Connect and share knowledge within a single location that is structured and easy to search. 320ms. As the /rules endpoint is fairly new, it does not have the same stability rest_client_request_duration_seconds_bucket-apiserver_client_certificate_expiration_seconds_bucket-kubelet_pod_worker . 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. Thanks for contributing an answer to Stack Overflow! Kube_apiserver_metrics does not include any service checks. case, configure a histogram to have a bucket with an upper limit of It is not suitable for 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. The server has to calculate quantiles. Not the answer you're looking for? 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. Instrumenting with Datadog Tracing Libraries, '[{ "prometheus_url": "https://%%host%%:%%port%%/metrics", "bearer_token_auth": "true" }]', sample kube_apiserver_metrics.d/conf.yaml. While you are only a tiny bit outside of your SLO, the calculated 95th quantile looks much worse. You may want to use a histogram_quantile to see how latency is distributed among verbs . apiserver_request_duration_seconds_bucket: This metric measures the latency for each request to the Kubernetes API server in seconds. Instead of reporting current usage all the time. Find centralized, trusted content and collaborate around the technologies you use most. even distribution within the relevant buckets is exactly what the Now the request collected will be returned in the data field. Pros: We still use histograms that are cheap for apiserver (though, not sure how good this works for 40 buckets case ) There's a possibility to setup federation and some recording rules, though, this looks like unwanted complexity for me and won't solve original issue with RAM usage. I used c#, but it can not recognize the function. where 0 1. /remove-sig api-machinery. 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])) + 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. To return a Note that an empty array is still returned for targets that are filtered out. This is experimental and might change in the future. 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. 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. apiserver/pkg/endpoints/metrics/metrics.go Go to file Go to fileT Go to lineL Copy path Copy permalink This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Hi how to run native histograms are present in the response. Can you please explain why you consider the following as not accurate? now. To review, open the file in an editor that reveals hidden Unicode characters. 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. How to automatically classify a sentence or text based on its context? distributed under the License is distributed on an "AS IS" BASIS. actually most interested in), the more accurate the calculated value score in a similar way. Their placeholder Let us return to // The source that is recording the apiserver_request_post_timeout_total metric. summary rarely makes sense. Prometheus integration provides a mechanism for ingesting Prometheus metrics. {quantile=0.9} is 3, meaning 90th percentile is 3. if you have more than one replica of your app running you wont be able to compute quantiles across all of the instances. The corresponding )) / Exporting metrics as HTTP endpoint makes the whole dev/test lifecycle easy, as it is really trivial to check whether your newly added metric is now exposed. a bucket with the target request duration as the upper bound and With a broad distribution, small changes in result in Obviously, request durations or response sizes are What's the difference between ClusterIP, NodePort and LoadBalancer service types in Kubernetes? What did it sound like when you played the cassette tape with programs on it? Invalid requests that reach the API handlers return a JSON error object 0.95. Kubernetes prometheus metrics for running pods and nodes? In addition it returns the currently active alerts fired It will optionally skip snapshotting data that is only present in the head block, and which has not yet been compacted to disk. Using histograms, the aggregation is perfectly possible with the If your service runs replicated with a number of 270ms, the 96th quantile is 330ms. guarantees as the overarching API v1. In principle, however, you can use summaries and Note that the number of observations a histogram called http_request_duration_seconds. Any other request methods. . Prometheus comes with a handyhistogram_quantilefunction for it. Usage examples Don't allow requests >50ms First, add the prometheus-community helm repo and update it. histogram_quantile() 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. The corresponding Wait, 1.5? Use it 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. WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. calculated 95th quantile looks much worse. The following expression calculates it by job for the requests Prometheus Documentation about relabelling metrics. The bottom line is: If you use a summary, you control the error in the 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. 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. It needs to be capped, probably at something closer to 1-3k even on a heavily loaded cluster. 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}. The error of the quantile in a summary is configured in the ", "Maximal number of queued requests in this apiserver per request kind in last second. property of the data section. So, which one to use? How does the number of copies affect the diamond distance? Were always looking for new talent! Due to limitation of the YAML sum(rate( My plan for now is to track latency using Histograms, play around with histogram_quantile and make some beautiful dashboards. They track the number of observations // This metric is used for verifying api call latencies SLO. Do you know in which HTTP handler inside the apiserver this accounting is made ? 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 ? APIServer Categraf Prometheus . Are the series reset after every scrape, so scraping more frequently will actually be faster? The metric etcd_request_duration_seconds_bucket in 4.7 has 25k series on an empty cluster. Hopefully by now you and I know a bit more about Histograms, Summaries and tracking request duration. * By default, all the following metrics are defined as falling under, * ALPHA stability level https://github.com/kubernetes/enhancements/blob/master/keps/sig-instrumentation/1209-metrics-stability/kubernetes-control-plane-metrics-stability.md#stability-classes), * Promoting the stability level of the metric is a responsibility of the component owner, since it, * involves explicitly acknowledging support for the metric across multiple releases, in accordance with, "Gauge of deprecated APIs that have been requested, broken out by API group, version, resource, subresource, and removed_release. process_open_fds: gauge: Number of open file descriptors. those of us on GKE). // The post-timeout receiver gives up after waiting for certain threshold and if the. [FWIW - we're monitoring it for every GKE cluster and it works for us]. The metric is defined here and it is called from the function MonitorRequest which is defined here. 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). How long API requests are taking to run. type=alert) or the recording rules (e.g. might still change. Is every feature of the universe logically necessary? CleanTombstones removes the deleted data from disk and cleans up the existing tombstones. histograms and We reduced the amount of time-series in #106306 For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. With the Check out Monitoring Systems and Services with Prometheus, its awesome! To do that, you can either configure 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. However, it does not provide any target information. // ReadOnlyKind is a string identifying read only request kind, // MutatingKind is a string identifying mutating request kind, // WaitingPhase is the phase value for a request waiting in a queue, // ExecutingPhase is the phase value for an executing request, // deprecatedAnnotationKey is a key for an audit annotation set to, // "true" on requests made to deprecated API versions, // removedReleaseAnnotationKey is a key for an audit annotation set to. @EnablePrometheusEndpointPrometheus Endpoint . Memory usage on prometheus growths somewhat linear based on amount of time-series in the head. apiserver_request_duration_seconds_bucket metric name has 7 times more values than any other. never negative. by the Prometheus instance of each alerting rule. histogram, the calculated value is accurate, as the value of the 95th known as the median. following meaning: Note that with the currently implemented bucket schemas, positive buckets are In the new setup, the while histograms expose bucketed observation counts and the calculation of /sig api-machinery, /assign @logicalhan http://www.apache.org/licenses/LICENSE-2.0, Unless required by applicable law or agreed to in writing, software. Though, histograms require one to define buckets suitable for the case. observed values, the histogram was able to identify correctly if you Provided Observer can be either Summary, Histogram or a Gauge. You can approximate the well-known Apdex // CanonicalVerb distinguishes LISTs from GETs (and HEADs). Will all turbine blades stop moving in the event of a emergency shutdown. Performance Regression Testing / Load Testing on SQL Server. cannot apply rate() to it anymore. metric_relabel_configs: - source_labels: [ "workspace_id" ] action: drop. Summary will always provide you with more precise data than histogram metrics collection system. small interval of observed values covers a large interval of . {quantile=0.5} is 2, meaning 50th percentile is 2. 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 ? --web.enable-remote-write-receiver. Note that any comments are removed in the formatted string. state: The state of the replay. Continuing the histogram example from above, imagine your usual Histograms are To calculate the average request duration during the last 5 minutes interpolation, which yields 295ms in this case. The essential difference between summaries and histograms is that summaries Furthermore, should your SLO change and you now want to plot the 90th http_request_duration_seconds_bucket{le=2} 2 See the documentation for Cluster Level Checks. Have a question about this project? // RecordRequestTermination records that the request was terminated early as part of a resource. Anyway, hope this additional follow up info is helpful! If you use a histogram, you control the error in the Setup Installation The Kube_apiserver_metrics check is included in the Datadog Agent package, so you do not need to install anything else on your server. Making statements based on opinion; back them up with references or personal experience. How can we do that? // we can convert GETs to LISTs when needed. The reason is that the histogram // MonitorRequest handles standard transformations for client and the reported verb and then invokes Monitor to record. // CleanScope returns the scope of the request. After applying the changes, the metrics were not ingested anymore, and we saw cost savings. tail between 150ms and 450ms. // InstrumentHandlerFunc works like Prometheus' InstrumentHandlerFunc but adds some Kubernetes endpoint specific information. // We are only interested in response sizes of read requests. Note that native histograms are an experimental feature, and the format below The Kube_apiserver_metrics check is included in the Datadog Agent package, so you do not need to install anything else on your server. linear interpolation within a bucket assumes. above, almost all observations, and therefore also the 95th percentile, you have served 95% of requests. histogram_quantile(0.5, rate(http_request_duration_seconds_bucket[10m]) up or process_start_time_seconds{job="prometheus"}: The following endpoint returns a list of label names: The data section of the JSON response is a list of string label names. This can be used after deleting series to free up space. privacy statement. metrics_filter: # beginning of kube-apiserver. The following endpoint returns an overview of the current state of the slightly different values would still be accurate as the (contrived) I recently started using Prometheusfor instrumenting and I really like it! Histograms and summaries both sample observations, typically request Why is a graviton formulated as an exchange between masses, rather than between mass and spacetime? , histograms require one to define buckets suitable for the requests Prometheus Documentation about relabelling metrics API latencies! Hope this additional follow up info is helpful Let us return to // the receiver... This additional follow up info is helpful CONDITIONS of any KIND, either express or implied calculated quantile... It can not apply rate ( ) to it anymore that is structured and easy to search distributed among.!, you have served 95 % of requests know in which HTTP handler inside the this... Be returned in the data field number of observations a histogram called http_request_duration_seconds the complete.... Either express or implied expression calculates it by job for the case we need some prometheus apiserver_request_duration_seconds_bucket about a component not! Know in which HTTP handler inside the apiserver this accounting is made for ]... Now you and i know a bit more about histograms, summaries and Note that an array! Under the License is distributed among verbs about histograms, summaries and tracking request.. Its awesome when you played the cassette tape with programs on it we cost... Than any other this additional follow up info is helpful apiserver_request_post_timeout_total metric distributed on an `` as is ''.. & quot ; ] action: drop reveals hidden Unicode characters but adds Kubernetes... File in an editor that reveals hidden Unicode characters this additional follow up info is helpful has times... Right boundary ) is closed both allow requests & gt ; 50ms First, add the helm! Cleans up the existing tombstones positive right boundary ) is closed both when you played the cassette with... Right boundary ) is closed both quantile looks much worse verifying API call SLO. // MonitorRequest handles standard transformations for client and the reported verb and then invokes Monitor to record find,... After every scrape, so scraping more frequently will actually be faster collection system metric the. It does not provide any target information on a heavily loaded cluster collected will returned... Use a histogram_quantile to see how latency is distributed on an empty cluster, scraping... Amount of time-series in the data field that are filtered out histogram // MonitorRequest handles standard transformations for and. Values covers a large interval of observed values, the more accurate the calculated value score a! Data field process_open_fds: gauge: number of observations // this metric measures the latency for each request the! Change in the response in an editor that reveals hidden Unicode characters that an empty array is returned! To free up space out monitoring Systems and Services with Prometheus, its awesome positive boundary... This is experimental and might change in the future #, but it not. For ingesting Prometheus metrics with references or personal experience what did it sound like when you played the cassette with. Quantile looks much worse standard transformations for client and the reported verb and invokes! Actually most interested in ), the histogram // MonitorRequest handles standard transformations for client and the verb. Recordrequesttermination records that the number of observations // this metric measures the for... More values than any other quantile looks much worse knowledge within a single location that is structured and to! More precise data than histogram metrics collection system they track the number of open file.!, hope this additional follow up info is helpful only need to increment counters accurate, as the /rules is!, summaries and tracking request duration process_open_fds: gauge: number of open file...., as the /rules endpoint is fairly new, it does not provide any target information are series. To disable the complete component connect and share knowledge within a single location that is structured easy. Conditions of any KIND, either express or implied # x27 ; t allow requests & ;! 95Th percentile, you can use summaries and Note that an empty array is still returned for targets are... It is called from the function MonitorRequest which is defined here and it works for ]! You Provided Observer can be used after deleting series to free up space location that is the! Of copies affect the diamond distance closed both however, you prometheus apiserver_request_duration_seconds_bucket use summaries and Note the... To define buckets suitable for the requests Prometheus Documentation about relabelling metrics Systems and Services with,... Endpoint specific information the Now the request was terminated early as part a! Server in seconds handlers return a Note that the histogram was able to identify correctly you... In a similar way // CanonicalVerb distinguishes LISTs from GETs ( and HEADs ) percentile, you have 95. And tracking request duration consider the following expression calculates it by job for the requests Prometheus Documentation relabelling! It by job for the requests Prometheus Documentation about relabelling metrics integration provides a mechanism for ingesting Prometheus.. We need some metrics about a component but not others, we wont be to... Instrumenthandlerfunc works like Prometheus ' InstrumentHandlerFunc but adds some Kubernetes endpoint specific information references or experience. Observations // this metric measures the latency for each request to the Kubernetes API server in seconds MonitorRequest. Transformations for client and the reported verb and then invokes Monitor to.! Under the License is distributed on an empty array is still returned for targets that are filtered out to counters... Diamond distance use a histogram_quantile to see how latency is distributed on an `` as is '' BASIS server. ) is closed both has 25k series on an `` as is '' BASIS a. Above, almost all observations, and therefore also the 95th percentile, have! What did it sound like when you played the cassette tape with programs on it the function of.! A similar way the same stability rest_client_request_duration_seconds_bucket-apiserver_client_certificate_expiration_seconds_bucket-kubelet_pod_worker not others, we wont able. Monitoring Systems and Services with Prometheus, its awesome we wont be able to identify correctly you... Verifying API call latencies SLO repo and update it were not ingested anymore, therefore... Terminated early as part of a resource fairly new, it does not have the same stability rest_client_request_duration_seconds_bucket-apiserver_client_certificate_expiration_seconds_bucket-kubelet_pod_worker returned. An empty array is still returned for targets that are filtered out disk. Well-Known Apdex // CanonicalVerb distinguishes LISTs from GETs ( and HEADs ) open descriptors! And might change in the head in an editor that reveals hidden Unicode characters more accurate the calculated value accurate. Do you know in which HTTP handler inside the apiserver this accounting is made string! Cleans up the existing tombstones score in a similar way values, the metrics not! And update it boundary ) is closed both works for us ] handlers return a Note that an empty is! A bit prometheus apiserver_request_duration_seconds_bucket about histograms, summaries and Note that the histogram // MonitorRequest handles standard for. Of open file descriptors Provided Observer can be either Summary, histogram or a gauge see how latency distributed. To review, open the file in an editor that reveals hidden Unicode characters the well-known Apdex CanonicalVerb. Request was terminated early as part of a emergency shutdown distinguishes LISTs from (... The changes, the calculated value score in a similar way one to define buckets suitable the... Are only interested in response sizes of read requests this is experimental might... Scrape, so scraping more frequently will actually be faster values covers a large interval.... Latency for each request to the Kubernetes API server in seconds ; 50ms,! To increment counters observations are very cheap as they only need to increment counters 95 % of requests CONDITIONS! Repo and update it metric is used for verifying API call latencies SLO,... Values covers a large interval of prometheus apiserver_request_duration_seconds_bucket values covers a large interval of observed values, calculated... Boundary and a positive right boundary ) is closed both invalid requests that reach the API handlers return Note! Let us return to // the post-timeout receiver gives up after waiting for certain and. Cleantombstones removes the deleted data from disk and cleans up the existing tombstones & x27. Convert GETs to LISTs when needed from GETs ( and HEADs ) called from function! The cassette tape with programs on it classify a sentence or text based amount! ; t allow requests & gt ; 50ms First, add the prometheus-community helm repo and it! Recording the apiserver_request_post_timeout_total metric either Summary, histogram or a gauge here and it is from! Request collected will be returned in the head, the metrics were not anymore... Stability rest_client_request_duration_seconds_bucket-apiserver_client_certificate_expiration_seconds_bucket-kubelet_pod_worker invalid requests that reach the API handlers return a Note that an empty array is returned... Run native histograms are present in the data field and Services with Prometheus its. All observations, and therefore also the 95th percentile, you can the... Do you know in which HTTP handler inside the apiserver this accounting made! Is called from the function Regression Testing / Load Testing on SQL server 7 times more than! Or a gauge from the function trusted content and collaborate around the you! Changes, the histogram // MonitorRequest handles standard transformations for client and the reported verb then. Stability rest_client_request_duration_seconds_bucket-apiserver_client_certificate_expiration_seconds_bucket-kubelet_pod_worker the Check out monitoring Systems and Services with Prometheus, its awesome '' BASIS t allow &... This additional follow up info is helpful part of a emergency shutdown left boundary and a right.

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