# Alert aggregation Copy as Markdown[Open in ChatGPT](https://chatgpt.com/?q=Read%20https%3A%2F%2Fdocs-docusaurus.kinsta.page%2Fuser-guides%2Falerting%2Falert-aggregation.md%20and%20help%20me%20with%20my%20question%20about%20this%20Coralogix%20documentation%20page.)[Open in Claude](https://claude.ai/new?q=Read%20https%3A%2F%2Fdocs-docusaurus.kinsta.page%2Fuser-guides%2Falerting%2Falert-aggregation.md%20and%20help%20me%20with%20my%20question%20about%20this%20Coralogix%20documentation%20page.) You can aggregate your alerts and then display them as a widget on a custom dashboard using a gauge-type metric (cx\_alerts). When alert-to-metric is enabled, all alerts start to be accumulated into bucket. The number of triggered/resolved alerts is calculated per minute, creating a time series per every permutation. ## Enable alert aggregation[​](#enable-alert-aggregation "Direct link to Enable alert aggregation") Alert aggregation is enabled per team. Keep in mind that alert metric is counted against your account's quota. 1 . Go to **Settings**, then **Preferences** and scroll down to the Alerts section. 2 . Toggle the switch On to enable alert aggregation. 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)](data:image/webp;base64,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) ## Add a metric widget[​](#add-a-metric-widget "Direct link to Add a metric widget") Add a widget to your custom dashboard to visualize alert aggregation. 1 . Create a new custom dashboard or open an existing one. 2 . Add a new widget to your dashboard. 3 . On the right-hand sidebar, use the **Source** drop-down box to select **Metrics** as your data source. 4 . Specify the `cx_alerts` metric or desired PromQL in the **Query** field. Use the following labels in conjunction with the metric: * `alert_def_id` * `alert_def_name` * `alert_status` * `cx_source` (always contains the `alerts` string as its value) * `is_phantom` * `alert_def_type` * `alert_priority` * `alert_def_label_*` (key value spread) * `alert_def_group_by_*` (key value spread) [![](/assets/images/Screenshot-2024-07-22-at-13.01.17-1024x420-803525579b48dcc294d9eed891310555.jpg)](https://docs-docusaurus.kinsta.page/assets/images/Screenshot-2024-07-22-at-13.01.17-1024x420-803525579b48dcc294d9eed891310555.jpg) ## Related resources[​](#related-resources "Direct link to Related resources") [Introduction to alerts](https://docs-docusaurus.kinsta.page/user-guides/alerting/introduction-to-alerts/.md)[Incidents](https://docs-docusaurus.kinsta.page/user-guides/alerting/incidents/.md)[Cases](https://docs-docusaurus.kinsta.page/user-guides/cases/overview/.md) ## Next steps[​](#next-steps "Direct link to Next steps") Reduce false alerts caused by data pipeline delays with [Custom evaluation delay](https://docs-docusaurus.kinsta.page/user-guides/alerting/custom-evaluation-delay/.md).