prometheus apiserver_request_duration_seconds_bucket

// of the total number of open long running requests. // preservation or apiserver self-defense mechanism (e.g. 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 Histograms and summaries are more complex metric types. {quantile=0.99} is 3, meaning 99th percentile is 3. or dynamic number of series selectors that may breach server-side URL character limits. The data section of the query result consists of a list of objects that So, in this case, we can altogether disable scraping for both components. I don't understand this - how do they grow with cluster size? The 95th percentile is calculated to be 442.5ms, although the correct value is close to 320ms. Observations are expensive due to the streaming quantile calculation. The following example returns metadata only for the metric http_requests_total. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. the client side (like the one used by the Go percentile. from the first two targets with label job="prometheus". type=record). Learn more about bidirectional Unicode characters. Making statements based on opinion; back them up with references or personal experience. filter: (Optional) A prometheus filter string using concatenated labels (e.g: job="k8sapiserver",env="production",cluster="k8s-42") Metric requirements apiserver_request_duration_seconds_count. Although Gauge doesnt really implementObserverinterface, you can make it usingprometheus.ObserverFunc(gauge.Set). Want to learn more Prometheus? Unfortunately, you cannot use a summary if you need to aggregate the Use it Sign up for a free GitHub account to open an issue and contact its maintainers and the community. MOLPRO: is there an analogue of the Gaussian FCHK file? quantiles yields statistically nonsensical values. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. 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. percentile happens to be exactly at our SLO of 300ms. ", "Response latency distribution in seconds for each verb, dry run value, group, version, resource, subresource, scope and component.". // RecordRequestAbort records that the request was aborted possibly due to a timeout. you have served 95% of requests. Wait, 1.5? The metric is defined here and it is called from the function MonitorRequest which is defined here. As the /rules endpoint is fairly new, it does not have the same stability 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}. known as the median. The following example formats the expression foo/bar: Prometheus offers a set of API endpoints to query metadata about series and their labels. After applying the changes, the metrics were not ingested anymore, and we saw cost savings. The corresponding In this article, I will show you how we reduced the number of metrics that Prometheus was ingesting. Implement it! I can skip this metrics from being scraped but I need this metrics. (50th percentile is supposed to be the median, the number in the middle). a histogram called http_request_duration_seconds. above, almost all observations, and therefore also the 95th percentile, If your service runs replicated with a number of process_max_fds: gauge: Maximum number of open file descriptors. time, or you configure a histogram with a few buckets around the 300ms sum(rate( 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. were within or outside of your SLO. type=alert) or the recording rules (e.g. 4/3/2020. Pick desired -quantiles and sliding window. duration has its sharp spike at 320ms and almost all observations will collected will be returned in the data field. negative left boundary and a positive right boundary) is closed both. Query language expressions may be evaluated at a single instant or over a range // the go-restful RouteFunction instead of a HandlerFunc plus some Kubernetes endpoint specific information. The Kubernetes project currently lacks enough contributors to adequately respond to all issues and PRs. instead of the last 5 minutes, you only have to adjust the expression This causes anyone who still wants to monitor apiserver to handle tons of metrics. 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. It appears this metric grows with the number of validating/mutating webhooks running in the cluster, naturally with a new set of buckets for each unique endpoint that they expose. 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). Metrics: apiserver_request_duration_seconds_sum , apiserver_request_duration_seconds_count , apiserver_request_duration_seconds_bucket Notes: An increase in the request latency can impact the operation of the Kubernetes cluster. These are APIs that expose database functionalities for the advanced user. This can be used after deleting series to free up space. Have a question about this project? So in the case of the metric above you should search the code for "http_request_duration_seconds" rather than "prometheus_http_request_duration_seconds_bucket". Note that an empty array is still returned for targets that are filtered out. endpoint is /api/v1/write. // The "executing" request handler returns after the timeout filter times out the request. There's some possible solutions for this issue. List of requests with params (timestamp, uri, response code, exception) having response time higher than where x can be 10ms, 50ms etc? This is considered experimental and might change in the future. 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. - done: The replay has finished. Can you please explain why you consider the following as not accurate? In our example, we are not collecting metrics from our applications; these metrics are only for the Kubernetes control plane and nodes. Shouldnt it be 2? function. You can approximate the well-known Apdex observations from a number of instances. apply rate() and cannot avoid negative observations, you can use two So the example in my post is correct. PromQL expressions. observations. depending on the resultType. 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. Can you please help me with a query, might still change. I usually dont really know what I want, so I prefer to use Histograms. 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. helps you to pick and configure the appropriate metric type for your Version compatibility Tested Prometheus version: 2.22.1 Prometheus feature enhancements and metric name changes between versions can affect dashboards. Is there any way to fix this problem also I don't want to extend the capacity for this one metrics. from a histogram or summary called http_request_duration_seconds, Example: The target // as well as tracking regressions in this aspects. Find more details here. (the latter with inverted sign), and combine the results later with suitable The corresponding single value (rather than an interval), it applies linear @EnablePrometheusEndpointPrometheus Endpoint . 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 . 270ms, the 96th quantile is 330ms. And with cluster growth you add them introducing more and more time-series (this is indirect dependency but still a pain point). This is useful when specifying a large Vanishing of a product of cyclotomic polynomials in characteristic 2. average of the observed values. Examples for -quantiles: The 0.5-quantile is If you are having issues with ingestion (i.e. // Path the code takes to reach a conclusion: // i.e. result property has the following format: Instant vectors are returned as result type vector. EDIT: For some additional information, running a query on apiserver_request_duration_seconds_bucket unfiltered returns 17420 series. Quantiles, whether calculated client-side or server-side, are While you are only a tiny bit outside of your SLO, the calculated 95th quantile looks much worse. It is automatic if you are running the official image k8s.gcr.io/kube-apiserver. endpoint is reached. One would be allowing end-user to define buckets for apiserver. How does the number of copies affect the diamond distance? 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. The sections below describe the API endpoints for each type of progress: The progress of the replay (0 - 100%). linear interpolation within a bucket assumes. When the parameter is absent or empty, no filtering is done. How can I get all the transaction from a nft collection? Some libraries support only one of the two types, or they support summaries distributions of request durations has a spike at 150ms, but it is not The helm chart values.yaml provides an option to do this. Proposal Is every feature of the universe logically necessary? histogram_quantile() In addition it returns the currently active alerts fired By clicking Sign up for GitHub, you agree to our terms of service and Any other request methods. http://www.apache.org/licenses/LICENSE-2.0, Unless required by applicable law or agreed to in writing, software. APIServer Categraf Prometheus . The accumulated number audit events generated and sent to the audit backend, The number of goroutines that currently exist, The current depth of workqueue: APIServiceRegistrationController, Etcd request latencies for each operation and object type (alpha), Etcd request latencies count for each operation and object type (alpha), The number of stored objects at the time of last check split by kind (alpha; deprecated in Kubernetes 1.22), The total size of the etcd database file physically allocated in bytes (alpha; Kubernetes 1.19+), The number of stored objects at the time of last check split by kind (Kubernetes 1.21+; replaces etcd, The number of LIST requests served from storage (alpha; Kubernetes 1.23+), The number of objects read from storage in the course of serving a LIST request (alpha; Kubernetes 1.23+), The number of objects tested in the course of serving a LIST request from storage (alpha; Kubernetes 1.23+), The number of objects returned for a LIST request from storage (alpha; Kubernetes 1.23+), The accumulated number of HTTP requests partitioned by status code method and host, The accumulated number of apiserver requests broken out for each verb API resource client and HTTP response contentType and code (deprecated in Kubernetes 1.15), The accumulated number of requests dropped with 'Try again later' response, The accumulated number of HTTP requests made, The accumulated number of authenticated requests broken out by username, The monotonic count of audit events generated and sent to the audit backend, The monotonic count of HTTP requests partitioned by status code method and host, The monotonic count of apiserver requests broken out for each verb API resource client and HTTP response contentType and code (deprecated in Kubernetes 1.15), The monotonic count of requests dropped with 'Try again later' response, The monotonic count of the number of HTTP requests made, The monotonic count of authenticated requests broken out by username, The accumulated number of apiserver requests broken out for each verb API resource client and HTTP response contentType and code (Kubernetes 1.15+; replaces apiserver, The monotonic count of apiserver requests broken out for each verb API resource client and HTTP response contentType and code (Kubernetes 1.15+; replaces apiserver, The request latency in seconds broken down by verb and URL, The request latency in seconds broken down by verb and URL count, The admission webhook latency identified by name and broken out for each operation and API resource and type (validate or admit), The admission webhook latency identified by name and broken out for each operation and API resource and type (validate or admit) count, The admission sub-step latency broken out for each operation and API resource and step type (validate or admit), The admission sub-step latency histogram broken out for each operation and API resource and step type (validate or admit) count, The admission sub-step latency summary broken out for each operation and API resource and step type (validate or admit), The admission sub-step latency summary broken out for each operation and API resource and step type (validate or admit) count, The admission sub-step latency summary broken out for each operation and API resource and step type (validate or admit) quantile, The admission controller latency histogram in seconds identified by name and broken out for each operation and API resource and type (validate or admit), The admission controller latency histogram in seconds identified by name and broken out for each operation and API resource and type (validate or admit) count, The response latency distribution in microseconds for each verb, resource and subresource, The response latency distribution in microseconds for each verb, resource, and subresource count, The response latency distribution in seconds for each verb, dry run value, group, version, resource, subresource, scope, and component, The response latency distribution in seconds for each verb, dry run value, group, version, resource, subresource, scope, and component count, The number of currently registered watchers for a given resource, The watch event size distribution (Kubernetes 1.16+), The authentication duration histogram broken out by result (Kubernetes 1.17+), The counter of authenticated attempts (Kubernetes 1.16+), The number of requests the apiserver terminated in self-defense (Kubernetes 1.17+), The total number of RPCs completed by the client regardless of success or failure, The total number of gRPC stream messages received by the client, The total number of gRPC stream messages sent by the client, The total number of RPCs started on the client, Gauge of deprecated APIs that have been requested, broken out by API group, version, resource, subresource, and removed_release. expect histograms to be more urgently needed than summaries. prometheus . 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? DeleteSeries deletes data for a selection of series in a time range. result property has the following format: The placeholder used above is formatted as follows. request durations are almost all very close to 220ms, or in other This documentation is open-source. 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. also more difficult to use these metric types correctly. distributed under the License is distributed on an "AS IS" BASIS. Code contributions are welcome. Although, there are a couple of problems with this approach. How to automatically classify a sentence or text based on its context? Prometheus. Find centralized, trusted content and collaborate around the technologies you use most. It exposes 41 (!) Using histograms, the aggregation is perfectly possible with the Any one object will only have The essential difference between summaries and histograms is that summaries The following endpoint returns a list of label values for a provided label name: The data section of the JSON response is a list of string label values. 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. Go ,go,prometheus,Go,Prometheus,PrometheusGo var RequestTimeHistogramVec = prometheus.NewHistogramVec( prometheus.HistogramOpts{ Name: "request_duration_seconds", Help: "Request duration distribution", Buckets: []flo After doing some digging, it turned out the problem is that simply scraping the metrics endpoint for the apiserver takes around 5-10s on a regular basis, which ends up causing rule groups which scrape those endpoints to fall behind, hence the alerts. ", "Counter of apiserver self-requests broken out for each verb, API resource and subresource. Already on GitHub? expression query. Specification of -quantile and sliding time-window. Please help improve it by filing issues or pull requests. Now the request duration has its sharp spike at 320ms and almost all observations will fall into the bucket from 300ms to 450ms. value in both cases, at least if it uses an appropriate algorithm on 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 ? function. What can I do if my client library does not support the metric type I need? {le="0.45"}. 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. Token APIServer Header Token . ", "Request filter latency distribution in seconds, for each filter type", // requestAbortsTotal is a number of aborted requests with http.ErrAbortHandler, "Number of requests which apiserver aborted possibly due to a timeout, for each group, version, verb, resource, subresource and scope", // requestPostTimeoutTotal tracks the activity of the executing request handler after the associated request. Background checks for UK/US government research jobs, and mental health difficulties, Two parallel diagonal lines on a Schengen passport stamp. )) / Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. First, add the prometheus-community helm repo and update it. Of course there are a couple of other parameters you could tune (like MaxAge, AgeBuckets orBufCap), but defaults shouldbe good enough. APIServer Kubernetes . The actual data still exists on disk and is cleaned up in future compactions or can be explicitly cleaned up by hitting the Clean Tombstones endpoint. To calculate the average request duration during the last 5 minutes Cannot retrieve contributors at this time. summaries. 5 minutes: Note that we divide the sum of both buckets. (showing up in Prometheus as a time series with a _count suffix) is histogram_quantile() To review, open the file in an editor that reveals hidden Unicode characters. centigrade). Provided Observer can be either Summary, Histogram or a Gauge. At this point, we're not able to go visibly lower than that. actually most interested in), the more accurate the calculated value The corresponding The Kubernetes API server is the interface to all the capabilities that Kubernetes provides. First of all, check the library support for This section 320ms. 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?
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