grafana memory usage query

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Input name of the data source and URL of your Prometheus server. also, sometimes the problem is the cardinality. Revisions. Detailing Our Monitoring Architecture. Is it correct to use "the" before "materials used in making buildings are"? Why are you meaning the value? How about making said limit configurable and set to 11000 by default? 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Run some query like {namespace="caascad-monitoring"} for a period of 15 minutes. Can someone plz help? Follow Up: struct sockaddr storage initialization by network format-string, How to tell which packages are held back due to phased updates. However, that would require us to refactor signification portion of the code, because AFAIK our current datasource API is not streaming-friendly. 15 Best Grafana Dashboard Examples. Finally click on import and we should be able to see the CPU/Memory/Disk utilisation real time. Is it correct to use "the" before "materials used in making buildings are"? Instead of just the free memory? ', 'ajax');","content":"Turn off suggestions"}],"prefixTriggerTextLength":0},"inputSelector":"#noteSearchField_0","redirectToItemLink":false,"url":"https://community.sisense.com/t5/tkb/v2_4/articlepage.searchformv32.notesearchfield.notesearchfield:autocomplete?t:ac=blog-id/knowledgebase/article-id/3090&t:cp=search/contributions/page","resizeImageEvent":"LITHIUM:renderImages"}); A few hundred megabytes isn't a lot these days. in Explore) any metric (e.g. we could simply not use the prometheus go client library, and write completely custom code and go from JSON directly to grafana dataframes (currently we go from JSON to prometheus-client-lib-go-structures to grafana dataframes. Normally, the operating system puts that memory to use, for example by caching files it has accessed. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Add PromQL expressions, use the variables configured above for the labels then you can select the labels value from top. Go to Alert tab : Rule Name for Alert display name in grafana Alert page. ","disabledLink":"lia-link-disabled","menuOpenCssClass":"dropdownHover","menuElementSelector":".lia-menu-navigation-wrapper","dialogSelector":".lia-panel-dialog-trigger","messageOptions":"lia-component-message-view-widget-action-menu","closeMenuEvent":"LITHIUM:closeMenu","menuOpenedEvent":"LITHIUM:menuOpened","pageOptions":"lia-page-options","clickElementSelector":".lia-js-click-menu","menuItemsSelector":".lia-menu-dropdown-items","menuClosedEvent":"LITHIUM:menuClosed"}); I have a hunch that we might find some improvements there (i.e. about modifying the step. currently the step is calculated based on the number_of_pixels_available_for_the_visualization (no point in getting more datapoints then available pixels on the screen), with some limits applied, we also make sure the step is big enough so that at most 11000 datapoints are returned for one time-series. 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LITHIUM.AjaxSupport.fromLink('#enableAutoComplete', 'enableAutoComplete', '#ajaxfeedback_0', 'LITHIUM:ajaxError', {}, 'cf0oglxrHNBn3cMb4gQpHn4m2xpJPemFEVKJVl3mOc0. "activecastFullscreen" : false, Grafana Guide: How to get started with alerting - Timescale Blog "selector" : "#kudosButtonV2", grafana / collectd Write Graphite plugin change timestamp, Network throughput graph showing spikes in Grafana (w/ InfluxDB) due to calculation error. You may choose another option from the dropdown menu. memory-usage. Are you having trouble getting Prometheus running in your cluster? In our case : 180MB. After we change the SQL mode, new setting will take effect the next time we call the executeQuery() method.In order to do in-memory sorting filtering we must first set the SQL Query Mode ViewObject.QUERY_MODE . By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. The pod request/limit metrics come from kube-state-metrics. Why does Prometheus use so much RAM? - Robust Perception this has been the behavior for a long time. For that I need to have prometheus queries. Labels in metrics have more impact on the memory usage than the metrics itself. LITHIUM.Auth.KEEP_ALIVE_TIME = 300000; How to show that an expression of a finite type must be one of the finitely many possible values? New replies are no longer allowed. $('.user-profile-card').hide(); LITHIUM.InformationBox({"updateFeedbackEvent":"LITHIUM:updateAjaxFeedback","componentSelector":"#informationbox_2","feedbackSelector":".InfoMessage"}); LITHIUM.AutoComplete({"options":{"autosuggestionAvailableInstructionText":"Auto-suggestions available. I am happy to say that due to the hard work of @toddtreece, @itsmylife and many other people by implementing the streaming parser, the memory usage for the Prometheus datasource plugin has dropped significantly. You signed in with another tab or window. I want to have something like this "sum(container_memory_usage_bytes{namespace="$namespace", pod_name="$pod", container_name!="POD"}) by (container_name)" Since there are variables in this query Im unable to send alerts. $('.user-profile-card').hide(); "parameters" : { if ($(this).parents('.lia-component-users-widget-menu').length > 0 || $(this).parents('.lia-component-common-widget-user-navigation-modern').length > 0) { Not the answer you're looking for? High memory usage Issue #53349 grafana/grafana GitHub } @gabor I think ultimately we'd want something like [2] or [3], because it's the only possible solution to make memory usage bounded, without completely breaking large dataset results like in [4]. function slideMenuReset() { I create an alert and the memory consumption increases a lot because of the PromQL evaluation of the alert. ', 'ajax'); That way we could look into fine-tuning it and that will maintain backward compatibility. Thanks all! the same as [2], but we would try to do the JSON->dataframes transformation in a streaming fashion, to limit memory use. In this video I show you how to a build a Grafana dashboard from scratch that will monitor a virtual machine's CPU utilization, Memory Usage, Disk Usage, and Network Traffic using the Node-Exporter data collector and Prometheus as the Data SourceUSED DISK SPACE QUERY: node_filesystem_size_bytes{job=\"jenkins-node\",instance=\"localhost:9100\",device!~\"/dev/loop. "useCountToKudo" : "false", Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Increased memory usage when querying Prometheus datasources - GitHub "actions" : [ @bohandley will reach out to @toddtreece / @ryantxu to gather context / state on this issue. @toddtreece no, we have this issue #39096 where the idea is to enforce a max limit on data frames rows. Hi! LITHIUM.CustomEvent('.lia-custom-event', 'click'); ', 'ajax'); i m trying to fix alerts for windows cpu , memory and hard disk , i m using prometheus as the data source , through node exporter we collect the data for widows cpu the query sum by (mode) (rate(wmi_cpu_time_t Troubleshooting. 03-02-2023 i did some measurements using a large prometheus JSON response (4MB). ERROR: CREATE MATERIALIZED VIEW WITH DATA cannot be executed from a function, Calculating probabilities from d6 dice pool (Degenesis rules for botches and triggers), Replacing broken pins/legs on a DIP IC package. Grafana is a great way to visualize data. 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The following query should return per-pod number of used CPU cores: The following query should return per-pod RSS memory usage: If you need summary CPU and memory usage across all the pods in Kubernetes cluster, then just remove without (container_name) suffix from queries above. var windowWidth = $(window).width(); ","emptyText":"No Matches","successText":"Results:","defaultText":"Enter a search word","autosuggestionUnavailableInstructionText":"No suggestions available","disabled":false,"footerContent":[{"scripts":"\n\n(function(b){LITHIUM.Link=function(f){function g(a){var c=b(this),e=c.data(\"lia-action-token\");!0!==c.data(\"lia-ajax\")&&void 0!==e&&!1===a.isPropagationStopped()&&!1===a.isImmediatePropagationStopped()&&!1===a.isDefaultPrevented()&&(a.stop(),a=b(\"\\x3cform\\x3e\",{method:\"POST\",action:c.attr(\"href\"),enctype:\"multipart/form-data\"}),e=b(\"\\x3cinput\\x3e\",{type:\"hidden\",name:\"lia-action-token\",value:e}),a.append(e),b(document.body).append(a),a.submit(),d.trigger(\"click\"))}var d=b(document);void 0===d.data(\"lia-link-action-handler\")&&\n(d.data(\"lia-link-action-handler\",!0),d.on(\"click.link-action\",f.linkSelector,g),b.fn.on=b.wrap(b.fn.on,function(a){var c=a.apply(this,b.makeArray(arguments).slice(1));this.is(document)&&(d.off(\"click.link-action\",f.linkSelector,g),a.call(this,\"click.link-action\",f.linkSelector,g));return c}))}})(LITHIUM.jQuery);\nLITHIUM.Link({\n \"linkSelector\" : \"a.lia-link-ticket-post-action\"\n});LITHIUM.AjaxSupport.fromLink('#disableAutoComplete_1101c2f181ad183', 'disableAutoComplete', '#ajaxfeedback_0', 'LITHIUM:ajaxError', {}, 'mQTen4VawOmtRQkGLOb-qBPfy4q0cXOmOezGez-IiZY. for widows cpu the query LITHIUM.DropDownMenu({"userMessagesFeedOptionsClass":"div.user-messages-feed-options-menu a.lia-js-menu-opener","menuOffsetContainer":".lia-menu-offset-container","hoverLeaveEvent":"LITHIUM:hoverLeave","mouseoverElementSelector":".lia-js-mouseover-menu","userMessagesFeedOptionsAriaLabel":"Show contributions of the user, selected option is Options. I'm closing out this issue. I understand that due to the sampling rate etc, the metrics might miss a spike. Container memory. Out-of-memory (OOM) in Kubernetes - Mihai-Albert.com in other words, when we receive the prometheus response, if it's length is more than for example 100KB, we return an error to the browser with "result too large". This is how we query container memory on Prometheus. Memory seen by Docker is not the memory really used by Prometheus. *\",device!~\"tmpfs|nsfs\",device!=\"gvfsd-fuse\"}JSON format of dashboard: https://github.com/moss-n/Grafana-Dashboards/blob/main/Host%20Resource%20Usage%20Example.json TOC: Introduction: 00:00 - 1:44 CPU metric: 1:45 - 09:03Memory Usage: 09:04 - 14:15Disk Usage: 14:16 - 21:20Network Traffic: 21:21 - 25:06Conclusion: 25:07 - 26:02 Build a Grafana dashboard. Follow Up: struct sockaddr storage initialization by network format-string, How to handle a hobby that makes income in US. Has 90% of ice around Antarctica disappeared in less than a decade? 4. @ismail is currently assigned the tasks to bring it to parity and remove the old client. LITHIUM.InformationBox({"updateFeedbackEvent":"LITHIUM:updateAjaxFeedback","componentSelector":"#pageInformation","feedbackSelector":".InfoMessage"}); This issue is probably is due to how we cache the last evaluations. My updated status is now at the top pf this issue. } Search fields now require an ID. $( this ).toggleClass( 'menu-opened' ); LITHIUM.AjaxSupport.fromLink('#link_1', 'rejectCookieEvent', 'false', 'LITHIUM:ajaxError', {}, 'w417rV1qsZAHjcnVdNrvLejfrHSEUhx5Jh9cWFh04pI. Pod memory usage was immediately halved after deploying our optimization and is now at 8Gb, which represents a 375% improvement of the memory usage. })(LITHIUM.jQuery); for example, if the prometheus response return 300 separate time-series blocks, the response can be quite big, even if the number of data points for 1 time-series is smaller. How to reproduce it (as minimally and precisely as possible): The issue has been caused by the fact that Prometheus datasource has been refactored from a frontend datasource to a backend datasource and since 8.3 all queries have to be processed in Grafana server: The text was updated successfully, but these errors were encountered: @gabor as discussed, here's the issue. }); Please let me know if that helped. Query with usage of a variable not working after updating to 9.4.2 AM using collectd to collect the metrics from the system, am using Influxdb as a database to collectd the metrics and Grafana for visualization. We also make sure the step is big enough so that at most 11000 datapoints are returned for one time-series. In testing this, the memory usage seems scale linearly with the number of active sessions, so this could cause significant memory usage in some circumstances. My kubernetes pods keep crashing with "CrashLoopBackOff" but I can't find any log. 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