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}), /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("p", null, `If you only need CPU and memory time series for the workload, you don't need to deploy a ServiceMonitor or PodMonitor because the monitoring application already collects metrics data on resource usage by default.`), /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("p", null, `The steps for setting up monitoring for workloads depend on whether you want basic metrics such as CPU and memory for the workload, or whether you want to scrape custom metrics from the workload.`), /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("p", null, `If you only need CPU and memory time series for the workload, you don't need to deploy a ServiceMonitor or PodMonitor because the monitoring application already collects metrics data on resource usage by default. The resource usage time series data is in Prometheus's local time series database.`), /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("p", null, `Grafana shows the data in aggregate, but you can see the data for the individual workload by using a PromQL query that extracts the data for that workload. Once you have the PromQL query, you can execute the query individually in the Prometheus UI and see the time series visualized there, or you can use the query to customize a Grafana dashboard to display the workload metrics. For examples of PromQL queries for workload metrics, see `, /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("a", {
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parentName: "p",
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"href": "https://rancher.com/docs/rancher/v2.5/en/monitoring-alerting/configuration/expression/#workload-metrics"
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||||
}, `this section.`)), /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("p", null, `To set up custom metrics for your workload, you will need to set up an exporter and create a new ServiceMonitor custom resource to configure Prometheus to scrape metrics from your exporter.`), /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("h3", {
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@@ -324,8 +324,8 @@ const metadata = {
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"editUrl": "https://github.com/rancher/rancher-docs/edit/main/docs/how-to-guides/advanced-user-guides/monitoring-alerting-guides/create-persistent-grafana-dashboard.md",
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||||
"tags": [],
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"version": "current",
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"lastUpdatedAt": 1692825523,
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"formattedLastUpdatedAt": "Aug 23, 2023",
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"lastUpdatedAt": 1685574630,
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"formattedLastUpdatedAt": "May 31, 2023",
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"frontMatter": {
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||||
"title": "Persistent Grafana Dashboards"
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||||
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@@ -384,10 +384,7 @@ function MDXContent(_param) {
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return /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)(MDXLayout, _object_spread_props(_object_spread({}, layoutProps, props), {
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rel: "canonical",
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href: "https://ranchermanager.docs.rancher.com/how-to-guides/advanced-user-guides/monitoring-alerting-guides/create-persistent-grafana-dashboard"
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||||
})), /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("p", null, `To allow the Grafana dashboard to persist after the Grafana instance restarts, add the dashboard configuration JSON into a ConfigMap. ConfigMaps also allow the dashboards to be deployed with a GitOps or CD based approach. This allows the dashboard to be put under version control.`), /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("ul", null, /*#__PURE__*/ (0,_mdx_js_react__WEBPACK_IMPORTED_MODULE_1__/* .mdx */ .kt)("li", {
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parentName: "ul"
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parentName: "li",
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@@ -324,8 +324,8 @@ const metadata = {
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"editUrl": "https://github.com/rancher/rancher-docs/edit/main/versioned_docs/version-2.7/how-to-guides/advanced-user-guides/monitoring-alerting-guides/uninstall-monitoring.md",
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"tags": [],
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"version": "2.7",
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"lastUpdatedAt": 1692825523,
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"formattedLastUpdatedAt": "Aug 23, 2023",
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"lastUpdatedAt": 1686092423,
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"formattedLastUpdatedAt": "Jun 6, 2023",
|
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"frontMatter": {
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"title": "Uninstall Monitoring"
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||||
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@@ -352,10 +352,7 @@ function MDXContent(_param) {
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mdxType: "MDXLayout"
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rel: "canonical",
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Reference in New Issue
Block a user