// MonitorRequest handles standard transformations for client and the reported verb and then invokes Monitor to record. Histograms are What can I do if my client library does not support the metric type I need? Then create a namespace, and install the chart. 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. To learn more, see our tips on writing great answers. a single histogram or summary create a multitude of time series, it is 2020-10-12T08:18:00.703972307Z level=warn ts=2020-10-12T08:18:00.703Z caller=manager.go:525 component="rule manager" group=kube-apiserver-availability.rules msg="Evaluating rule failed" rule="record: Prometheus: err="query processing would load too many samples into memory in query execution" - Red Hat Customer Portal known as the median. // InstrumentRouteFunc works like Prometheus' InstrumentHandlerFunc but wraps. In Prometheus Histogram is really a cumulative histogram (cumulative frequency). Error is limited in the dimension of by a configurable value. Cannot retrieve contributors at this time. The calculation does not exactly match the traditional Apdex score, as it Please help improve it by filing issues or pull requests. them, and then you want to aggregate everything into an overall 95th pretty good,so how can i konw the duration of the request? Jsonnet source code is available at github.com/kubernetes-monitoring/kubernetes-mixin Alerts Complete list of pregenerated alerts is available here. prometheus. (showing up in Prometheus as a time series with a _count suffix) is Drop workspace metrics config. with caution for specific low-volume use cases. @wojtek-t Since you are also running on GKE, perhaps you have some idea what I've missed? ", "Number of requests which apiserver terminated in self-defense. 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. sample values. 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. If you are having issues with ingestion (i.e. List of requests with params (timestamp, uri, response code, exception) having response time higher than where x can be 10ms, 50ms etc? The following endpoint returns metadata about metrics currently scraped from targets. Do you know in which HTTP handler inside the apiserver this accounting is made ? 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. With the histogram_quantile() Hi how to run The Linux Foundation has registered trademarks and uses trademarks. I don't understand this - how do they grow with cluster size? ", "Response latency distribution in seconds for each verb, dry run value, group, version, resource, subresource, scope and component.". 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. Query language expressions may be evaluated at a single instant or over a range // MonitorRequest happens after authentication, so we can trust the username given by the request. The following expression calculates it by job for the requests The keys "histogram" and "histograms" only show up if the experimental It returns metadata about metrics currently scraped from targets. An adverb which means "doing without understanding", List of resources for halachot concerning celiac disease. Proposal 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. The /alerts endpoint returns a list of all active alerts. To return a If we had the same 3 requests with 1s, 2s, 3s durations. Even The server has to calculate quantiles. format. distributions of request durations has a spike at 150ms, but it is not (the latter with inverted sign), and combine the results later with suitable centigrade). In PromQL it would be: http_request_duration_seconds_sum / http_request_duration_seconds_count. Histograms and summaries are more complex metric types. ", // TODO(a-robinson): Add unit tests for the handling of these metrics once, "Counter of apiserver requests broken out for each verb, dry run value, group, version, resource, scope, component, and HTTP response code. histogram_quantile() 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 . The Kubernetes project currently lacks enough contributors to adequately respond to all issues and PRs. also more difficult to use these metric types correctly. 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. apiserver_request_duration_seconds_bucket: This metric measures the latency for each request to the Kubernetes API server in seconds. In this particular case, averaging the Check out Monitoring Systems and Services with Prometheus, its awesome! Observations are very cheap as they only need to increment counters. A tag already exists with the provided branch name. rev2023.1.18.43175. To calculate the average request duration during the last 5 minutes distributed under the License is distributed on an "AS IS" BASIS. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. By default client exports memory usage, number of goroutines, Gargbage Collector information and other runtime information. // receiver after the request had been timed out by the apiserver. High Error Rate Threshold: >3% failure rate for 10 minutes instead of the last 5 minutes, you only have to adjust the expression {quantile=0.9} is 3, meaning 90th percentile is 3. 5 minutes: Note that we divide the sum of both buckets. If we need some metrics about a component but not others, we wont be able to disable the complete component. // cleanVerb additionally ensures that unknown verbs don't clog up the metrics. How many grandchildren does Joe Biden have? Trying to match up a new seat for my bicycle and having difficulty finding one that will work. First of all, check the library support for By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. This time, you do not both. 200ms to 300ms. Of course there are a couple of other parameters you could tune (like MaxAge, AgeBuckets orBufCap), but defaults shouldbe good enough. Lets call this histogramhttp_request_duration_secondsand 3 requests come in with durations 1s, 2s, 3s. The first one is apiserver_request_duration_seconds_bucket, and if we search Kubernetes documentation, we will find that apiserver is a component of the Kubernetes control-plane that exposes the Kubernetes API. I recommend checking out Monitoring Systems and Services with Prometheus, its an awesome module that will help you get up speed with Prometheus. sum(rate( Some libraries support only one of the two types, or they support summaries Will all turbine blades stop moving in the event of a emergency shutdown. The error of the quantile in a summary is configured in the want to display the percentage of requests served within 300ms, but Asking for help, clarification, or responding to other answers. calculated to be 442.5ms, although the correct value is close to Instrumenting with Datadog Tracing Libraries, '[{ "prometheus_url": "https://%%host%%:%%port%%/metrics", "bearer_token_auth": "true" }]', sample kube_apiserver_metrics.d/conf.yaml. summary rarely makes sense. histograms to observe negative values (e.g. 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 cumulative. Note that the number of observations And with cluster growth you add them introducing more and more time-series (this is indirect dependency but still a pain point). And retention works only for disk usage when metrics are already flushed not before. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. 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])) + Adding all possible options (as was done in commits pointed above) is not a solution. prometheus apiserver_request_duration_seconds_bucketangular pwa install prompt 29 grudnia 2021 / elphin primary school / w 14k gold sagittarius pendant / Autor . I used c#, but it can not recognize the function. server. JSON does not support special float values such as NaN, Inf, It assumes verb is, // CleanVerb returns a normalized verb, so that it is easy to tell WATCH from. This documentation is open-source. In general, we and one of the following HTTP response codes: Other non-2xx codes may be returned for errors occurring before the API Copyright 2021 Povilas Versockas - Privacy Policy. Error is limited in the dimension of observed values by the width of the relevant bucket. Kubernetes prometheus metrics for running pods and nodes? 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. The 95th percentile is * 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. 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. Whole thing, from when it starts the HTTP handler to when it returns a response. Connect and share knowledge within a single location that is structured and easy to search. 0.95. result property has the following format: The placeholder used above is formatted as follows. Is every feature of the universe logically necessary? helps you to pick and configure the appropriate metric type for your // as well as tracking regressions in this aspects. 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. The login page will open in a new tab. The following endpoint returns currently loaded configuration file: The config is returned as dumped YAML file. I'm Povilas Versockas, a software engineer, blogger, Certified Kubernetes Administrator, CNCF Ambassador, and a computer geek. The following example evaluates the expression up at the time query that may breach server-side URL character limits. 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. Is it OK to ask the professor I am applying to for a recommendation letter? It has a cool concept of labels, a functional query language &a bunch of very useful functions like rate(), increase() & histogram_quantile(). The following endpoint formats a PromQL expression in a prettified way: The data section of the query result is a string containing the formatted query expression. 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. This one-liner adds HTTP/metrics endpoint to HTTP router. In that case, the sum of observations can go down, so you Memory usage on prometheus growths somewhat linear based on amount of time-series in the head. The following endpoint returns flag values that Prometheus was configured with: All values are of the result type string. The following example formats the expression foo/bar: Prometheus offers a set of API endpoints to query metadata about series and their labels. // that can be used by Prometheus to collect metrics and reset their values. Because if you want to compute a different percentile, you will have to make changes in your code. - done: The replay has finished. Were always looking for new talent! formats. One thing I struggled on is how to track request duration. 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. {quantile=0.99} is 3, meaning 99th percentile is 3. also easier to implement in a client library, so we recommend to implement // preservation or apiserver self-defense mechanism (e.g. Changing scrape interval won't help much either, cause it's really cheap to ingest new point to existing time-series (it's just two floats with value and timestamp) and lots of memory ~8kb/ts required to store time-series itself (name, labels, etc.) Specification of -quantile and sliding time-window. only in a limited fashion (lacking quantile calculation). In those rare cases where you need to value in both cases, at least if it uses an appropriate algorithm on contain the label name/value pairs which identify each series. // ResponseWriterDelegator interface wraps http.ResponseWriter to additionally record content-length, status-code, etc. // source: the name of the handler that is recording this metric. The current stable HTTP API is reachable under /api/v1 on a Prometheus Performance Regression Testing / Load Testing on SQL Server. rev2023.1.18.43175. --web.enable-remote-write-receiver. from a histogram or summary called http_request_duration_seconds, If you are not using RBACs, set bearer_token_auth to false. As the /alerts endpoint is fairly new, it does not have the same stability The 94th quantile with the distribution described above is to your account. open left, negative buckets are open right, and the zero bucket (with a might still change. 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. Provided Observer can be either Summary, Histogram or a Gauge. 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? By the way, the defaultgo_gc_duration_seconds, which measures how long garbage collection took is implemented using Summary type. Runtime & Build Information TSDB Status Command-Line Flags Configuration Rules Targets Service Discovery. See the expression query result // The source that is recording the apiserver_request_post_timeout_total metric. You can then directly express the relative amount of buckets and includes every resource (150) and every verb (10). In Part 3, I dug deeply into all the container resource metrics that are exposed by the kubelet.In this article, I will cover the metrics that are exposed by the Kubernetes API server. As the /rules endpoint is fairly new, it does not have the same stability tail between 150ms and 450ms. a summary with a 0.95-quantile and (for example) a 5-minute decay Code contributions are welcome. http_request_duration_seconds_bucket{le=+Inf} 3, should be 3+3, not 1+2+3, as they are cumulative, so all below and over inf is 3 +3 = 6. Finally, if you run the Datadog Agent on the master nodes, you can rely on Autodiscovery to schedule the check. Kube_apiserver_metrics does not include any events. status code. // list of verbs (different than those translated to RequestInfo). Currently, we have two: // - timeout-handler: the "executing" handler returns after the timeout filter times out the request. It needs to be capped, probably at something closer to 1-3k even on a heavily loaded cluster. Why is sending so few tanks to Ukraine considered significant? The same applies to etcd_request_duration_seconds_bucket; we are using a managed service that takes care of etcd, so there isnt value in monitoring something we dont have access to. between clearly within the SLO vs. clearly outside the SLO. 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 ? observed values, the histogram was able to identify correctly if you __name__=apiserver_request_duration_seconds_bucket: 5496: job=kubernetes-service-endpoints: 5447: kubernetes_node=homekube: 5447: verb=LIST: 5271:
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