# Recording Rules Copy as Markdown[Open in ChatGPT](https://chatgpt.com/?q=Read%20https%3A%2F%2Fdocs-docusaurus.kinsta.page%2Fuser-guides%2Fdata-transformation%2Fmetric-rules%2Frecording-rules.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%2Fdata-transformation%2Fmetric-rules%2Frecording-rules.md%20and%20help%20me%20with%20my%20question%20about%20this%20Coralogix%20documentation%20page.)[API reference](https://docs-docusaurus.kinsta.page/api-reference/v5/recording-rules-service/.md)[Terraform](https://registry.terraform.io/providers/coralogix/coralogix/latest/docs/resources/recording_rules_groups_set) **Recording rules** allow you to preprocess and derive new time series from existing ones. By recording a new metric time series, you can simplify complex and resource-intensive PromQL queries into a leaner and more quickly queried metric. The newly recorded metric can be used in various dashboard visualizations and delivers high-performance analytics. ## Overview[​](#overview "Direct link to Overview") Create recording rules using your Coralogix UI or import existing rules from a YAML file using our [Recording Rules API](https://docs-docusaurus.kinsta.page/developer-portal/apis/data-management/recording-rules-api/.md). These rules are executed in the background at a regular interval specified in the rule group. A recording rule is defined by: * a name * a query expression * an optional set of labels to add to the resulting time series The query expression is used to select the time series upon which the rule will operate. It may include aggregation functions such as sum, min, max, etc. When a rule is executed, it evaluates the query expression over a range of time specified in the configuration file as `evaluation_interval`. It then creates a new time series for each unique combination of label values resulting from the evaluation. ## Prerequisites[​](#prerequisites "Direct link to Prerequisites") * [Coralogix account](https://dashboard.coralogix.com/#/signup) set up to send metrics * S3 bucket [set up and defined](https://docs-docusaurus.kinsta.page/user-guides/data-flow/s3-archive/connect-s3-archive/.md) ## Add a new rule[​](#add-a-new-rule "Direct link to Add a new rule") Add a new recording rule using your Coralogix UI. 1 . In your navigation pane, click **Data Flow** > **Recording Rules** to view the existing list of recording rules. 2 . Click **+ New Group**. 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)](data:image/webp;base64,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) 3 . Select the rule set for the new group. Either select from the **Select set for this group** dropdown, or click **+ Add New Set** to add the rule group to a new rule set. 4 . Enter a name for the group and select the **Evaluation interval** (how frequently the rule is run) and **Series limit** (the number of permutations the rule can create) for the new group. **Notes:** * The default setting for the **Evaluation interval** is 60 seconds, which is also the minimum. Note that the evaluation interval set in the rule must be greater than the time it will actually take to evaluate. If the frequency is shorter than the actual evaluation time, the recording rule will fail. * The default setting for the **Series limit** is 0, which means "no limit". 5 . Enter a **Name** for the metric and enter the **Expression** as a PromQL query. [![](data:image/webp;base64,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)](data:image/webp;base64,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) 6 . \[Optional] Add **Labels** and **Values** to the rule. 7 . You may add additional rules for the rule group by repeating Steps 1-4 for each additional rule. 8 . Click **Save Rule Group** at the top of the screen. ## Import rules from a YAML file[​](#import-rules-from-a-yaml-file "Direct link to Import rules from a YAML file") To import rules from an existing YAML file: 1 . In your navigation pane, click **Data Flow** > **Recording Rules** to view the existing list of recording rules. 2 . Click **Import Yaml**. 3 . Select the YAML file to import and click **Open**. If the upload is successful, the imported rules appear in the Recording Rules page. If the upload fails for any reason, an error message appears with the reason for the failure. ## Additional resources[​](#additional-resources "Direct link to Additional resources") | | | | ------------- | ------------------------------------------------------------------------------------------------------------------------ | | Documentation | [Recording Rules API](https://docs-docusaurus.kinsta.page/developer-portal/apis/data-management/recording-rules-api/.md) |