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class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c nRhiJb-BFbNVe-r8s4j-bMElCd dIsJJe" track-name="management tools"track-type="tag">Management Tools</div><div class="nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-R6PoUb"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-EehZO nRhiJb-fmcmS-oXtfBe"><h1 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><span class="FewWi"></span>Use the Dashboard API to build your own monitoring dashboard</div></h1></div></div><div class="nRhiJb-fmcmS-oXtfBe dEogG">March 7, 2020</div></div></section><div class="EKklye"><div class="nRhiJb-DARUcf ZWw7T"><div class="npzWPc"><div class="dzoHJ"><div class="nRhiJb-DX2B6 nRhiJb-DX2B6-OWXEXe-h30Snd"><div class="nRhiJb-j5y3u"><ul class="nRhiJb-Qijihe phRaUe" role="list"><li class="hpHPGf"><a class="nRhiJb-ARYxNe" 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for your cloud infrastructure with the Dashboard API in Google’s Cloud Monitoring.%0A%0Acloud.google.com/blog/products/management-tools/cloud-monitoring-dashboards-using-an-api"track-metadata-module="social icons" target="_blank" rel="noopener"><svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-DX2B6 nRhiJb-Bz112c-OWXEXe-nSuQf" viewBox="0 0 24 24" role="presentation" aria-hidden="true" role="presentation" aria-hidden="true"><path d="M20 4H4c-1.1 0-2 .9-2 2v12c0 1.1.9 2 2 2h16c1.1 0 2-.9 2-2V6c0-1.1-.9-2-2-2zm-.8 2L12 10.8 4.8 6h14.4zM4 18V7.87l8 5.33 8-5.33V18H4z"></path></svg></a></li></ul></div></div></div></div></div><div><section class="nRhiJb-DARUcf"><div class="nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><section class="DA9Qj nRhiJb-ObfsIf nRhiJb-fmcmS-oXtfBe"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-ibL1re"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-II5mzb kWSSdd"><h5 class="cHE8Ub Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">Charles Baer</h5><p class="nRhiJb-qJTHM khCp7b">Product Manager, Google Cloud</p></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-II5mzb kWSSdd"><h5 class="cHE8Ub Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">David Batelu</h5><p class="nRhiJb-qJTHM khCp7b">Technical Lead</p></div></section></div></section><div class="nRhiJb-DARUcf"><div class="nRhiJb-ObfsIf nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-qWD73c-cGMI2b"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-ibL1re dzoHJ"></div><div class="OYL9D nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf" jsname="tx2NYc"><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>Using dashboards in Cloud Monitoring makes it easy for you to track important system metrics. Creating dashboards by hand in the Monitoring UI can be a time-consuming process, especially if you want to use them in multiple different Monitoring Workspaces. </p><p>With the recent <a href="https://cloud.google.com/blog/products/management-tools/introducing-the-cloud-monitoring-dashboards-api">GA announcement</a> for the Cloud Monitoring dashboards API, you now have a way to programmatically create dashboards. You can create a dashboard in the Monitoring UI, use the dashboards API to download the JSON configuration, then use the dashboards API to create a dashboard in a separate Workspace using the JSON configuration.</p><h3>The Monitoring dashboards API</h3><p>The Cloud Monitoring API provides a resource called <a href="https://cloud.google.com/monitoring/dashboards/api-dashboard">projects.dashboards</a> which offers a familiar set of methods: create, delete, get, list, and patch. The REST API accepts JSON payloads, which you can use to create dashboards, update existing dashboards or delete dashboards. Using the API requires a basic understanding of Cloud Monitoring dashboards. For details about creating dashboards in the Monitoring console, you can read the <a href="https://cloud.google.com/monitoring/charts/">Creating charts</a> section in the docs to find all the details.</p><h3>The dashboard JSON payload</h3><p>In order to create a dashboard via the dashboards API, you need to define several objects in the JSON payload data. This part is easy if you call the API to export the JSON configuration from an existing dashboard.</p><p>Here’s an example JSON payload:</p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="{ "displayName": "Data Processing Dashboard", "gridLayout": { "columns": "2", "widgets": [ { "title": "Dataflow (traffic)", "xyChart": { "dataSets": [ { "timeSeriesQuery": { "timeSeriesFilter": { "filter": "metric.type=\"dataflow.googleapis.com/job/elements_produced_count\" resource.type=\"dataflow_job\"", "aggregation": { "perSeriesAligner": "ALIGN_RATE", "crossSeriesReducer": "REDUCE_SUM", "groupByFields": [ "resource.label.\"job_name\"" ] } }, "unitOverride": "1" }, "plotType": "LINE", "minAlignmentPeriod": "60s" } ], "timeshiftDuration": "0s", "yAxis": { "label": "y1Axis", "scale": "LINEAR" }, "chartOptions": { "mode": "COLOR" } } } ] } }"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">{ "displayName": "Data Processing Dashboard", "gridLayout": { "columns": "2", "widgets": [ { "title": "Dataflow (traffic)", "xyChart": { "dataSets": [ { "timeSeriesQuery": { "timeSeriesFilter": { "filter": "metric.type=\"dataflow.googleapis.com/job/elements_produced_count\" resource.type=\"dataflow_job\"", "aggregation": { "perSeriesAligner": "ALIGN_RATE", "crossSeriesReducer": "REDUCE_SUM", "groupByFields": [ "resource.label.\"job_name\"" ] } }, "unitOverride": "1" }, "plotType": "LINE", "minAlignmentPeriod": "60s" } ], "timeshiftDuration": "0s", "yAxis": { "label": "y1Axis", "scale": "LINEAR" }, "chartOptions": { "mode": "COLOR" } } } ] } }</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>There are several structures in the <a href="https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards#resource:-dashboard">dashboard data model</a> to understand:</p><ul><li><b>displayName</b>—the human-readable name of the dashboard</li><li><b>gridLayout, rowLayout, columnLayout</b>—the container for the widgets</li><li><b>widgets</b>—the container for the chart items</li><li><b>xyCharts</b>—a chart model that displays data on a 2D (X and Y axes) plane</li><li><b>dataSets</b>—data for the chart object, which includes the details used to gather the specific data in a timeSeriesFilter object, including the metric name, metric filters and how the metric is aggregated.</li><li><b>xAxis, yAxis</b>—definitions affecting the presentation of the axes</li><li><b>chartOptions</b>—definitions affecting the mode of the chart</li></ul><h3>Building the dashboard JSON payload the easy way</h3><p>A simple approach to building a dashboard configuration is to first create a dashboard in the Cloud Monitoring console, then use the dashboards API to export the JSON configuration. Once exported, you can share that configuration as a template, either via source control or however you normally share files with your colleagues.</p><p>The Dashboards API provides both a create and a get method. Building a dashboard in JSON from scratch requires detailed knowledge of the API data model and corresponding JSON syntax. A far simpler approach is to build the dashboard JSON configuration in the Dashboards section of Cloud Monitoring UI, then use the API to export the JSON representation of the dashboard. Once you have the JSON, you can use the create method to create another dashboard based on the JSON.</p><h3>Creating an example dashboard</h3><p>There are many ways to call the Cloud Monitoring API. One easy way to test out API calls is to use the “Try this API” functionality directly in the <a href="https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/create">projects.dashboards.create</a> method. Note that you’ll need to have a Cloud Monitoring Workspace defined and the GCP project ID for the project that contains the Workspace.</p><p>We created a sample <a href="https://github.com/GoogleCloudPlatform/monitoring-dashboard-samples/tree/master/dashboards" target="_blank">JSON dashboard</a> that includes six different charts, monitoring a data pipeline with Pub/Sub, Dataflow, and BigQuery components. You can use this JSON payload as a template for your own dashboard.</p><p>1. Create the dashboard, click the blue “TRY IT!” button to open the “Try this API” feature on the right-hand side of the <a href="https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/create">projects.dashboards.create</a> method.</p><p>2. Enter a value for the parent input form in the pattern “projects/YOUR_PROJECT_ID,” replacing your own GCP project ID that contains the Cloud Workspace where you want to create the dashboard for the “YOUR_PROJECT_ID” string value.</p><p>3. Highlight the default values in the “Request Body” input form, then copy/paste the <a href="https://gist.github.com/charlesbaer/d4f29e73684facc6c53d90ae9ba7f55f" target="_blank">JSON configuration</a> for the dashboard.</p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/request_body.max-700x700.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/request_body.max-700x700.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/request_body.max-700x700.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/request_body.max-700x700.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>4. Click the “EXECUTE” button at the bottom of the page. If all goes well, you should see a green HTTP “200” response code, along with the JSON description of the dashboard you just created.</p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/http_200.max-700x700.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/http_200.max-700x700.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/http_200.max-700x700.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/http_200.max-700x700.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>5. Open the <a href="https://console.cloud.google.com/monitoring/dashboards">Dashboards section</a> in the Cloud Monitoring console to review your newly created dashboard. Find the “Data Processing Dashboard Template” and click the name to open the dashboard.</p><p></p><p>If you have already deployed Pub/Sub, Dataflow, and BigQuery resources, you should see values in the dashboard.</p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/dashboard.max-1300x1300.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/dashboard.max-1300x1300.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/dashboard.max-1300x1300.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/dashboard.max-1300x1300.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3>Exporting an existing dashboard</h3><p>A common use case for this API is to export existing dashboard configurations, which can then be used to create a dashboard in another Workspace. You can export the configuration by calling the projects.dashboards.get method with the name of the dashboard. </p><p>1. Open the <a href="https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/get">projects.dashboards.get</a> API documentation and click the blue “TRY IT!” button, which opens the “Try this API” feature on the right-hand side of the page. </p><p>2. Enter a value for the parent input form in the pattern “projects/YOUR_PROJECT_ID/dashboards/YOUR_DASHBOARD_ID” replacing the <a href="https://cloud.google.com/monitoring/workspaces#host-project">host project id of the Workspace</a> where you want to create the dashboard for the “YOUR_PROJECT_ID” string value and your dashboard ID for the “YOUR_DASHBOARD_ID” string value. </p><p>Note that you can find your dashboard ID from the URL when viewing your dashboard in the Monitoring UI. Here’s an example. </p><p>https://console.cloud.google.com/monitoring/dashboards/custom/<b>e6ee2110-efc0-431e-bc1a-ce2600a207bc?project=YOUR_PROJECT_ID</b></p><p>If you don’t have your dashboard ID, you can instead call the <a href="https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/list">projects.dashboards.list</a> method, which will return a list of all your dashboards. The dashboard configuration can then be extracted from the list by finding the corresponding “Data Processing Dashboard” value in the displayName in the JSON configuration. </p><p>3. Click the “EXECUTE” button at the bottom of the page. If all goes well, you should see a green HTTP “200” response code along with the JSON description of the dashboard that you just created. The JSON snippet below shows the name of the dashboard, which you’ll need for the next API call.</p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="{ "name": "projects/52154416267/dashboards/e6ee2110-efc0-431e-bc1a-ce2600a207bc", "displayName": "Data Processing Dashboard", "etag": "7ae2443361aad9ac1cefda03a45c56e1", "gridLayout": { "columns": "2", .... } }"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">{ "name": "projects/52154416267/dashboards/e6ee2110-efc0-431e-bc1a-ce2600a207bc", "displayName": "Data Processing Dashboard", "etag": "7ae2443361aad9ac1cefda03a45c56e1", "gridLayout": { "columns": "2", .... } }</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>4. Save this JSON configuration as a file. To use it to create a new dashboard, you have to make three changes to the JSON configuration:<br>a. Remove the “name” key/value pair<br>b. Remove the “etag” key/value pair<br>c. Update the “displayName” key/value to reflect the name for your new dashboard</p><p>5. Open the <a href="https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/create">projects.dashboards.create</a> API documentation and click the blue “TRY IT!” button which opens the “Try this API” feature on the right-hand side of the page. </p><p>6. Enter a value for the parent input form in the pattern “projects/YOUR_PROJECT_ID,” replacing your own GCP project ID that contains the Cloud Workspace where you want to create the dashboard for the “YOUR_PROJECT_ID” string value. <br></p><p>7. Click the “EXECUTE” button at the bottom of the page. If all goes well, you should see a green HTTP “200” response code along with the JSON description of the dashboard that you just created. The JSON snippet below shows the name of the dashboard which you’ll need for the next API call.</p><p></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="{ "name": "projects/52154416267/dashboards/e6ee2110-efc0-431e-bc1a-ce2600a207bc", "displayName": "Updated Data Processing Dashboard", "etag": "7ae2443361aad9ac1cefda03a45c56e1", "gridLayout": { "columns": "2", .... } }"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">{ "name": "projects/52154416267/dashboards/e6ee2110-efc0-431e-bc1a-ce2600a207bc", "displayName": "Updated Data Processing Dashboard", "etag": "7ae2443361aad9ac1cefda03a45c56e1", "gridLayout": { "columns": "2", .... } }</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3>Making the API even more useful</h3><p>Try other sample dashboard configurations and read more about the API via the <a href="https://cloud.google.com/monitoring/dashboards/api-dashboard">Managing Dashboards</a> documentation. We’re working on features to make the API even more useful, including through the gcloud command line. Also, contributors are discussing and planning the Terraform module for the Monitoring Dashboard API in <a href="https://github.com/terraform-providers/terraform-provider-google/issues/5124" target="_blank">github</a>. As always, we’d love to hear your feedback through the Cloud Console feedback form.</p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZtKoif" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/send_feedback.max-500x500.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/send_feedback.max-500x500.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZtKoif" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/send_feedback.max-500x500.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/send_feedback.max-500x500.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="kcBhad"><section class="Fabbec"><span class="WrMNjb">Posted in</span><ul class="FzXI4e"><li class="I4B51b"><a href="https://cloud.google.com/blog/products/management-tools" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/products/management-tools"track-metadata-module="tag list"track-metadata-module_headline="posted in">Management Tools</a></li><li class="I4B51b"><a href="https://cloud.google.com/blog/products/gcp" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/products/gcp"track-metadata-module="tag list"track-metadata-module_headline="posted in">Google Cloud</a></li></ul></section></section></div></div></div></div></div><section class="nRhiJb-DARUcf " track-metadata-module="related articles" track-metadata-module_headline="related articles"><div class="nRhiJb-DbgRPb-c5RTEf-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><h5 class="Qwf2Db-MnozTc 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Creating dashboards by hand in the Monitoring UI can be a time-consuming process, especially if you want to use them in multiple different Monitoring Workspaces.\u00a0\u003c/p\u003e\u003cp\u003eWith the recent \u003ca href\u003d\"https://cloud.google.com/blog/products/management-tools/introducing-the-cloud-monitoring-dashboards-api\"\u003eGA announcement\u003c/a\u003e for the Cloud Monitoring dashboards API, you now have a way to programmatically create dashboards. You can create a dashboard in the Monitoring UI, use the dashboards API to download the JSON configuration, then use the dashboards API to create a dashboard in a separate Workspace using the JSON configuration.\u003c/p\u003e\u003ch3\u003eThe Monitoring dashboards API\u003c/h3\u003e\u003cp\u003eThe Cloud Monitoring API provides a resource called \u003ca href\u003d\"https://cloud.google.com/monitoring/dashboards/api-dashboard\"\u003eprojects.dashboards\u003c/a\u003e which offers a familiar set of methods: create, delete, get, list, and patch. The REST API accepts JSON payloads, which you can use to create dashboards, update existing dashboards or delete dashboards. Using the API requires a basic understanding of Cloud Monitoring dashboards. For details about creating dashboards in the Monitoring console, you can read the \u003ca href\u003d\"https://cloud.google.com/monitoring/charts/\"\u003eCreating charts\u003c/a\u003e section in the docs to find all the details.\u003c/p\u003e\u003ch3\u003eThe dashboard JSON payload\u003c/h3\u003e\u003cp\u003eIn order to create a dashboard via the dashboards API, you need to define several objects in the JSON payload data. This part is easy if you call the API to export the JSON configuration from an existing dashboard.\u003c/p\u003e\u003cp\u003eHere\u2019s an example JSON payload:\u003c/p\u003e"]]],[["{\r\n \"displayName\": \"Data Processing Dashboard\",\r\n \"gridLayout\": {\r\n \"columns\": \"2\",\r\n \"widgets\": [\r\n {\r\n \"title\": \"Dataflow (traffic)\",\r\n \"xyChart\": {\r\n \"dataSets\": [\r\n {\r\n \"timeSeriesQuery\": {\r\n \"timeSeriesFilter\": {\r\n \"filter\": \"metric.type\u003d\\\"dataflow.googleapis.com/job/elements_produced_count\\\" resource.type\u003d\\\"dataflow_job\\\"\",\r\n \"aggregation\": {\r\n \"perSeriesAligner\": \"ALIGN_RATE\",\r\n \"crossSeriesReducer\": \"REDUCE_SUM\",\r\n \"groupByFields\": [\r\n \"resource.label.\\\"job_name\\\"\"\r\n ]\r\n }\r\n },\r\n \"unitOverride\": \"1\"\r\n },\r\n \"plotType\": \"LINE\",\r\n \"minAlignmentPeriod\": \"60s\"\r\n }\r\n ],\r\n \"timeshiftDuration\": \"0s\",\r\n \"yAxis\": {\r\n \"label\": \"y1Axis\",\r\n \"scale\": \"LINEAR\"\r\n },\r\n \"chartOptions\": {\r\n \"mode\": \"COLOR\"\r\n }\r\n }\r\n }\r\n ]\r\n }\r\n}",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003eThere are several structures in the \u003ca href\u003d\"https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards#resource:-dashboard\"\u003edashboard data model\u003c/a\u003e to understand:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cb\u003edisplayName\u003c/b\u003e\u2014the human-readable name of the dashboard\u003c/li\u003e\u003cli\u003e\u003cb\u003egridLayout, rowLayout, columnLayout\u003c/b\u003e\u2014the container for the widgets\u003c/li\u003e\u003cli\u003e\u003cb\u003ewidgets\u003c/b\u003e\u2014the container for the chart items\u003c/li\u003e\u003cli\u003e\u003cb\u003exyCharts\u003c/b\u003e\u2014a chart model that displays data on a 2D (X and Y axes) plane\u003c/li\u003e\u003cli\u003e\u003cb\u003edataSets\u003c/b\u003e\u2014data for the chart object, which includes the details used to gather the specific data in a timeSeriesFilter object, including the metric name, metric filters and how the metric is aggregated.\u003c/li\u003e\u003cli\u003e\u003cb\u003exAxis, yAxis\u003c/b\u003e\u2014definitions affecting the presentation of the axes\u003c/li\u003e\u003cli\u003e\u003cb\u003echartOptions\u003c/b\u003e\u2014definitions affecting the mode of the chart\u003c/li\u003e\u003c/ul\u003e\u003ch3\u003eBuilding the dashboard JSON payload the easy way\u003c/h3\u003e\u003cp\u003eA simple approach to building a dashboard configuration is to first create a dashboard in the Cloud Monitoring console, then use the dashboards API to export the JSON configuration. Once exported, you can share that configuration as a template, either via source control or however you normally share files with your colleagues.\u003c/p\u003e\u003cp\u003eThe Dashboards API provides both a create and a get method. Building a dashboard in JSON from scratch requires detailed knowledge of the API data model and corresponding JSON syntax. A far simpler approach is to build the dashboard JSON configuration in the Dashboards section of Cloud Monitoring UI, then use the API to export the JSON representation of the dashboard. Once you have the JSON, you can use the create method to create another dashboard based on the JSON.\u003c/p\u003e\u003ch3\u003eCreating an example dashboard\u003c/h3\u003e\u003cp\u003eThere are many ways to call the Cloud Monitoring API. One easy way to test out API calls is to use the \u201cTry this API\u201d functionality directly in the \u003ca href\u003d\"https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/create\"\u003eprojects.dashboards.create\u003c/a\u003e method. Note that you\u2019ll need to have a Cloud Monitoring Workspace defined and the GCP project ID for the project that contains the Workspace.\u003c/p\u003e\u003cp\u003eWe created a sample \u003ca href\u003d\"https://github.com/GoogleCloudPlatform/monitoring-dashboard-samples/tree/master/dashboards\" target\u003d\"_blank\"\u003eJSON dashboard\u003c/a\u003e that includes six different charts, monitoring a data pipeline with Pub/Sub, Dataflow, and BigQuery components. You can use this JSON payload as a template for your own dashboard.\u003c/p\u003e\u003cp\u003e1. Create the dashboard, click the blue \u201cTRY IT!\u201d button to open the \u201cTry this API\u201d feature on the right-hand side of the \u003ca href\u003d\"https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/create\"\u003eprojects.dashboards.create\u003c/a\u003e method.\u003c/p\u003e\u003cp\u003e2. Enter a value for the parent input form in the pattern \u201cprojects/YOUR_PROJECT_ID,\u201d replacing your own GCP project ID that contains the Cloud Workspace where you want to create the dashboard for the \u201cYOUR_PROJECT_ID\u201d string value.\u003c/p\u003e\u003cp\u003e3. Highlight the default values in the \u201cRequest Body\u201d input form, then copy/paste the \u003ca href\u003d\"https://gist.github.com/charlesbaer/d4f29e73684facc6c53d90ae9ba7f55f\" target\u003d\"_blank\"\u003eJSON configuration\u003c/a\u003e for the dashboard.\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["https://storage.googleapis.com/gweb-cloudblog-publish/images/request_body.max-700x700.jpg",null,null,"https://storage.googleapis.com/gweb-cloudblog-publish/images/request_body.max-700x700.jpg"],null,3]]],[null,null,[null,[null,"\u003cp\u003e4. Click the \u201cEXECUTE\u201d button at the bottom of the page. If all goes well, you should see a green HTTP \u201c200\u201d response code, along with the JSON description of the dashboard you just created.\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["https://storage.googleapis.com/gweb-cloudblog-publish/images/http_200.max-700x700.jpg",null,null,"https://storage.googleapis.com/gweb-cloudblog-publish/images/http_200.max-700x700.jpg"],null,3]]],[null,null,[null,[null,"\u003cp\u003e5. Open the \u003ca href\u003d\"https://console.cloud.google.com/monitoring/dashboards\"\u003eDashboards section\u003c/a\u003e in the Cloud Monitoring console to review your newly created dashboard. Find the \u201cData Processing Dashboard Template\u201d and click the name to open the dashboard.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eIf you have already deployed Pub/Sub, Dataflow, and BigQuery resources, you should see values in the dashboard.\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["https://storage.googleapis.com/gweb-cloudblog-publish/images/dashboard.max-1300x1300.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/dashboard.max-1100x1100.jpg 1060w, https://storage.googleapis.com/gweb-cloudblog-publish/images/dashboard.max-1300x1300.jpg 1232w"," 1060px, 1232px","https://storage.googleapis.com/gweb-cloudblog-publish/images/dashboard.max-1300x1300.jpg"],null,3]]],[null,null,[null,[null,"\u003ch3\u003eExporting an existing dashboard\u003c/h3\u003e\u003cp\u003eA common use case for this API is to export existing dashboard configurations, which can then be used to create a dashboard in another Workspace. You can export the configuration by calling the projects.dashboards.get method with the name of the dashboard.\u00a0\u003c/p\u003e\u003cp\u003e1. Open the \u003ca href\u003d\"https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/get\"\u003eprojects.dashboards.get\u003c/a\u003e API documentation and click the blue \u201cTRY IT!\u201d button, which opens the \u201cTry this API\u201d feature on the right-hand side of the page.\u00a0\u00a0\u003c/p\u003e\u003cp\u003e2. Enter a value for the parent input form in the pattern \u201cprojects/YOUR_PROJECT_ID/dashboards/YOUR_DASHBOARD_ID\u201d replacing the \u003ca href\u003d\"https://cloud.google.com/monitoring/workspaces#host-project\"\u003ehost project id of the Workspace\u003c/a\u003e where you want to create the dashboard for the \u201cYOUR_PROJECT_ID\u201d string value and your dashboard ID for the \u201cYOUR_DASHBOARD_ID\u201d string value.\u00a0\u003c/p\u003e\u003cp\u003eNote that you can find your dashboard ID from the URL when viewing your dashboard in the Monitoring UI. Here\u2019s an example.\u00a0\u003c/p\u003e\u003cp\u003ehttps://console.cloud.google.com/monitoring/dashboards/custom/\u003cb\u003ee6ee2110-efc0-431e-bc1a-ce2600a207bc?project\u003dYOUR_PROJECT_ID\u003c/b\u003e\u003c/p\u003e\u003cp\u003eIf you don\u2019t have your dashboard ID, you can instead call the \u003ca href\u003d\"https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/list\"\u003eprojects.dashboards.list\u003c/a\u003e method, which will return a list of all your dashboards. The dashboard configuration can then be extracted from the list by finding the corresponding \u201cData Processing Dashboard\u201d value in the displayName in the JSON configuration.\u00a0\u00a0\u003c/p\u003e\u003cp\u003e3. Click the \u201cEXECUTE\u201d button at the bottom of the page. If all goes well, you should see a green HTTP \u201c200\u201d response code along with the JSON description of the dashboard that you just created. The JSON snippet below shows the name of the dashboard, which you\u2019ll need for the next API call.\u003c/p\u003e"]]],[["{\r\n \"name\": \"projects/52154416267/dashboards/e6ee2110-efc0-431e-bc1a-ce2600a207bc\",\r\n \"displayName\": \"Data Processing Dashboard\",\r\n \"etag\": \"7ae2443361aad9ac1cefda03a45c56e1\",\r\n \"gridLayout\": {\r\n \"columns\": \"2\",\r\n .... \r\n }\r\n }",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003e4. Save this JSON configuration as a file. To use it to create a new dashboard, you have to make three changes to the JSON configuration:\u003cbr\u003ea. Remove the \u201cname\u201d key/value pair\u003cbr\u003eb. Remove the \u201cetag\u201d key/value pair\u003cbr\u003ec. Update the \u201cdisplayName\u201d key/value to reflect the name for your new dashboard\u003c/p\u003e\u003cp\u003e5. Open the \u003ca href\u003d\"https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards/create\"\u003eprojects.dashboards.create\u003c/a\u003e API documentation and click the blue \u201cTRY IT!\u201d button which opens the \u201cTry this API\u201d feature on the right-hand side of the page.\u00a0\u00a0\u003c/p\u003e\u003cp\u003e6. Enter a value for the parent input form in the pattern \u201cprojects/YOUR_PROJECT_ID,\u201d replacing your own GCP project ID that contains the Cloud Workspace where you want to create the dashboard for the \u201cYOUR_PROJECT_ID\u201d string value.\u00a0\u003cbr\u003e\u003c/p\u003e\u003cp\u003e7. Click the \u201cEXECUTE\u201d button at the bottom of the page. If all goes well, you should see a green HTTP \u201c200\u201d response code along with the JSON description of the dashboard that you just created. The JSON snippet below shows the name of the dashboard which you\u2019ll need for the next API call.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e"]]],[["{\r\n \"name\": \"projects/52154416267/dashboards/e6ee2110-efc0-431e-bc1a-ce2600a207bc\",\r\n \"displayName\": \"Updated Data Processing Dashboard\",\r\n \"etag\": \"7ae2443361aad9ac1cefda03a45c56e1\",\r\n \"gridLayout\": {\r\n \"columns\": \"2\",\r\n .... \r\n }\r\n }",null,[null,""]]],[null,null,[null,[null,"\u003ch3\u003eMaking the API even more useful\u003c/h3\u003e\u003cp\u003eTry other sample dashboard configurations and read more about the API via the \u003ca href\u003d\"https://cloud.google.com/monitoring/dashboards/api-dashboard\"\u003eManaging Dashboards\u003c/a\u003e documentation. We\u2019re working on features to make the API even more useful, including through the gcloud command line. Also, contributors are discussing and planning the Terraform module for the Monitoring Dashboard API in \u003ca href\u003d\"https://github.com/terraform-providers/terraform-provider-google/issues/5124\" target\u003d\"_blank\"\u003egithub\u003c/a\u003e. As always, we\u2019d love to hear your feedback through the Cloud Console feedback form.\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["https://storage.googleapis.com/gweb-cloudblog-publish/images/send_feedback.max-500x500.jpg",null,null,"https://storage.googleapis.com/gweb-cloudblog-publish/images/send_feedback.max-500x500.jpg"],null,1]]]],[["Databases","Solve database bottlenecks faster with the latest query insights for Cloud SQL Enterprise Plus","Query insights for Cloud SQL now captures query telemetry and statistics to surface performance indicators, diagnostic reports, and recommendations.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg"],null,3,null,"https://cloud.google.com/blog/products/databases/new-query-insights-capabilities-for-cloud-sql-enterprise-plus",null,1,[["Karan Thapar","Product Manager"],["Mukesh Marodia","Product Manager"]],null,"55987"],["Containers \u0026 Kubernetes","Simplify the developer experience on Kubernetes with KRO","Google worked with AWS, and Azure on kro, a Kubernetes-native, cloud-agnostic way to define groupings of Kubernetes resources.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-700x700.jpg"],null,5,null,"https://cloud.google.com/blog/products/containers-kubernetes/introducing-kube-resource-orchestrator",null,1,[["Abdelfettah Sghiouar","Senior Cloud Developer Advocate"],["Nic Slattery","Product Manager"]],null,"55971"],["Management Tools","Toward faster incident resolution at Palo Alto Networks with Personalized Service Health","Palo Alto Networks recently integrated Personalized Service Health signals into the incident workflow for its based PRISMA Access offering.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/21_-_Management_Tools_EI9iqlb.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/21_-_Management_Tools_EI9iqlb.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/21_-_Management_Tools_EI9iqlb.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/21_-_Management_Tools_EI9iqlb.max-700x700.jpg"],null,5,null,"https://cloud.google.com/blog/products/management-tools/personalized-service-health-at-palo-alto-networks",null,1,[["Sabitha Muppuri","Sr Staff Service Reliability Engineer, Palo Alto Networks"],["Flemming Christensen","Product Leader for Customer Telemetry, Google Cloud"]],null,"55799"],["Databases","Database Center: Now with support for Bigtable, Firestore, and Memorystore","Database Center now supports monitoring and management of Bigtable, Memorystore, and Firestore databases in preview.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg"],null,3,null,"https://cloud.google.com/blog/products/databases/database-centers-supports-bigtable-memorystore-and-firestore",null,1,[["Kiran Shenoy","Sr. Product Manager, Google Cloud Databases"],["Apoorv Shrivastava","Product Manager - Google Cloud Databases"]],null,"55775"]],null,"Management Tools",null,[["Management Tools","https://cloud.google.com/blog/products/management-tools","management-tools"],["Google Cloud","https://cloud.google.com/blog/products/gcp","gcp"]],null,null,5], sideChannel: {}});</script><script id="wiz_jd" nonce="KKuTtoKssQBWhrohfNHhFA">if (window['_wjdc']) {const wjd = {}; window['_wjdc'](wjd); delete window['_wjdc'];}</script><script aria-hidden="true" id="WIZ-footer" nonce="KKuTtoKssQBWhrohfNHhFA">window.wiz_progress&&window.wiz_progress(); window.stopScanForCss&&window.stopScanForCss(); ccTick('bl');</script></body></html><footer id="ZCHFDb"><footer 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