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
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