# Configures either an alert or a target record for precomputationapiVersion:monitoring.gdc.goog/v1alpha1kind:MonitoringRulemetadata:# Choose namespace that matches the project's namespace# Note: The alert or record will be produced in the same namespacenamespace:PROJECT_NAMESPACEname:alerting-configspec:# Rule evaluation intervalinterval:<duration>
# Configure limit for number of alerts (0: no limit)# Optional, Default: 0 (no limit)limit:<int>
# Configure record rules to generate new metrics based on pre-existing metrics.# Record rules precompute expressions that are frequently needed or computationally expensive.# These rules save their result as a new set of time series.recordRules:# Define which timeseries to write to (must be a valid metric name)-record:<string>
# Define PromQL expression to evaluate for this ruleexpr:<string>
# Define labels to add or overwrite# Optional, Map of {key, value} pairslabels:<labelname>:<labelvalue>
...
将 PROJECT_NAMESPACE 替换为项目的命名空间。
LoggingRule 条记录规则
LoggingRule CR 包含记录规则,用于描述根据预先存在的日志计算新指标的条件。
以下 YAML 文件展示了 LoggingRule CR 的 recordRules 字段的模板。
# Configures either an alert or a target record for precomputationapiVersion:logging.gdc.goog/v1alpha1kind:LoggingRulemetadata:# Choose namespace that matches the project's namespace# Note: The alert or record will be produced in the same namespacenamespace:g-fleetns-aname:alerting-configspec:# Choose which log source to base alerts on (Operational/Audit/Security Logs)# Optional, Default: Operationalsource:<string>
# Rule evaluation intervalinterval:<duration>
# Configure limit for number of alerts (0: no limit)# Optional, Default: 0 (no limit)limit:<int>
# Configure record rules to generate new metrics based on pre-existing logs.# Record rules generate metrics based on logs.# Use record rules for complex alerts, which query the same expression repeatedly every time they are evaluated.recordRules:# Define which timeseries to write to (must be a valid metric name)-record:<string>
# Define LogQL expression to evaluate for this rule# https://grafana.com/docs/loki/latest/rules/expr:<string>
# Define labels to add or overwrite# Optional, Map of {key, value} pairslabels:<labelname>:<labelvalue>
...
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-09-04。"],[[["\u003cp\u003eCalculating metrics in GDC involves creating recording rules within a \u003ccode\u003eMonitoringRule\u003c/code\u003e custom resource, which precompute expressions for faster querying.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eMonitoringRule\u003c/code\u003e custom resource defines conditions to calculate new metrics using pre-existing system monitoring metrics, improving efficiency for dashboards and complex alerts.\u003c/p\u003e\n"],["\u003cp\u003eTo manage \u003ccode\u003eMonitoringRule\u003c/code\u003e custom resources, users need either the Monitoring Rule Editor or Monitoring Rule Viewer IAM role.\u003c/p\u003e\n"],["\u003cp\u003eCreating recording rules requires defining a record name, a PromQL expression that resolves to a numeric value, and deploying the custom resource in the project namespace.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eLoggingRule\u003c/code\u003e custom resources can also define recording rules to calculate new metrics based on pre-existing logs, utilizing LogQL expressions and offering options for specifying the log source.\u003c/p\u003e\n"]]],[],null,["# Calculate metrics from metrics data\n\nCalculating metrics means generating new metrics based on pre-existing logs or metrics for data observability. You calculate metrics in GDC by configuring recording rules in a `MonitoringRule` custom resource. Recording rules precompute expressions that are frequently needed or computationally expensive. These rules save their result as a new set of time series. Querying the precomputed result is faster than executing the original expression whenever needed. This precomputation is especially useful for dashboards and complex alerts, which must query the same expression repeatedly every time they refresh or are evaluated.\n\nYou configure recording rules in the `MonitoringRule` custom resource to calculate metrics based on other system monitoring metrics. The `MonitoringRule` custom resource contains recording rules that describe the conditions to calculate new metrics based on pre-existing metrics.\n\nBefore you begin\n----------------\n\nTo get the permissions you need to calculate metrics from metrics, ask your Project IAM Admin to grant you one of the following roles:\n\n- **Monitoring Rule Editor** : edits or modifies `MonitoringRule` custom resources. Request the Monitoring Rule Editor (`monitoringrule-editor`) role.\n- **Monitoring Rule Viewer** : views `MonitoringRule` custom resources. Request the Monitoring Rule Viewer (`monitoringrule-viewer`) role.\n\nCreate recording rules\n----------------------\n\nDefine a record name and a valid expression that evaluates the rule. The expression must resolve to a numeric value to record it as a new metric. Deploy the custom resource in your project namespace on the admin cluster to create the recording rules.\n| **Important:** To create rules, verify that a project is deployed with workloads. To have data your rules can act on, verify that you configured scraping metrics.\n\nFor more information about recording rules, see \u003chttps://grafana.com/docs/loki/latest/rules/\u003e\n\nWork through the following steps to create record rules and calculate metrics in your project's namespace:\n\n1. Open or create the YAML file for the CR using [the `MonitoringRule` CR](#monitoringrule-recordrules) template for monitoring record rules.\n2. In the `namespace` field of the CR, enter your project's namespace.\n3. In the `name` field, enter the name for the rule configuration.\n4. Optional: You can choose the log source in the `source` field. Valid options are `operational` and `audit`.\n5. In the `interval` field, enter the number of seconds for the duration of the rule evaluation interval.\n6. Optional: In the `limit` field, enter the maximum number of alerts. Enter `0` for unlimited alerts.\n7. In the `recordRules` field, enter the following information to calculate metrics:\n\n - In the `record` field, enter the record name. This value defines the time series in which to write the record rule and it must be a valid metric name.\n - In the `expr` field, enter a PromQL expression for the metric rule.\n\n This expression must resolve to a numeric value to be recorded as a new metric.\n - Optional: In the `labels` field, define the labels that you want to add or overwrite as key-value pairs.\n\n8. Save the YAML file of the CR.\n\n9. Deploy the CR in your project's namespace of the admin cluster to create the record rules.\n\nThe `MonitoringRule` record rules\n---------------------------------\n\nA `MonitoringRule` custom resource contains recording rules that describe the conditions to calculate new metrics based on pre-existing system monitoring metrics.\n\nThe following YAML file shows a template for the `recordRules` field of the `MonitoringRule` CR. \n\n # Configures either an alert or a target record for precomputation\n apiVersion: monitoring.gdc.goog/v1alpha1\n kind: MonitoringRule\n metadata:\n # Choose namespace that matches the project's namespace\n # Note: The alert or record will be produced in the same namespace\n namespace: \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-l devsite-syntax-l-Scalar devsite-syntax-l-Scalar-Plain\"\u003ePROJECT_NAMESPACE\u003c/span\u003e\u003c/var\u003e\n name: alerting-config\n spec:\n # Rule evaluation interval\n interval: \u003cduration\u003e\n\n # Configure limit for number of alerts (0: no limit)\n # Optional, Default: 0 (no limit)\n limit: \u003cint\u003e\n\n # Configure record rules to generate new metrics based on pre-existing metrics.\n # Record rules precompute expressions that are frequently needed or computationally expensive.\n # These rules save their result as a new set of time series.\n recordRules:\n # Define which timeseries to write to (must be a valid metric name)\n - record: \u003cstring\u003e\n\n # Define PromQL expression to evaluate for this rule\n expr: \u003cstring\u003e\n\n # Define labels to add or overwrite\n # Optional, Map of {key, value} pairs\n labels:\n \u003clabelname\u003e: \u003clabelvalue\u003e\n ...\n\nReplace \u003cvar translate=\"no\"\u003ePROJECT_NAMESPACE\u003c/var\u003e with the namespace of your project.\n\nThe `LoggingRule` record rules\n------------------------------\n\nA `LoggingRule` CR contains record rules that describe the conditions to calculate new metrics based on pre-existing logs.\n\nThe following YAML file shows a template for the `recordRules` field of the `LoggingRule` CR. \n\n # Configures either an alert or a target record for precomputation\n apiVersion: logging.gdc.goog/v1alpha1\n kind: LoggingRule\n metadata:\n # Choose namespace that matches the project's namespace\n # Note: The alert or record will be produced in the same namespace\n namespace: g-fleetns-a\n name: alerting-config\n spec:\n # Choose which log source to base alerts on (Operational/Audit/Security Logs)\n # Optional, Default: Operational\n source: \u003cstring\u003e\n\n # Rule evaluation interval\n interval: \u003cduration\u003e\n\n # Configure limit for number of alerts (0: no limit)\n # Optional, Default: 0 (no limit)\n limit: \u003cint\u003e\n\n # Configure record rules to generate new metrics based on pre-existing logs.\n # Record rules generate metrics based on logs.\n # Use record rules for complex alerts, which query the same expression repeatedly every time they are evaluated.\n recordRules:\n # Define which timeseries to write to (must be a valid metric name)\n - record: \u003cstring\u003e\n\n # Define LogQL expression to evaluate for this rule\n # https://grafana.com/docs/loki/latest/rules/\n expr: \u003cstring\u003e\n\n # Define labels to add or overwrite\n # Optional, Map of {key, value} pairs\n labels:\n \u003clabelname\u003e: \u003clabelvalue\u003e\n ..."]]