Calculating 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 LoggingRule
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.
You configure recording rules in the LoggingRule
custom resource to calculate metrics based on system logging data. The LoggingRule
custom resource contains recording rules that describe the conditions to calculate new metrics based on pre-existing logs.
Before you begin
To get the permissions you need to calculate metrics from logs, ask your Project IAM Admin to grant you one of the following roles in your project namespace:
- Logging Rule Creator: creates
LoggingRule
custom resources. Request the Logging Rule Creator (loggingrule-creator
) role. - Logging Rule Editor: edits or modifies
LoggingRule
custom resources. Request the Logging Rule Editor (loggingrule-editor
) role. - Logging Rule Viewer: views
LoggingRule
custom resources. Request the Logging Rule Viewer (loggingrule-viewer
) role.
Create recording rules
Define 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 org admin cluster to create the recording rules for the Observability platform.
For more information about recording rules for Observability, see https://grafana.com/docs/loki/latest/rules/
Work through the following steps to create record rules and calculate metrics in your project's namespace:
- Open or create the YAML file for the CR using the
LoggingRule
CR template for logging record rules. - In the
namespace
field of the CR, enter your project's namespace. - In the
name
field, enter the name for the rule configuration. - Optional: You can choose the log source in the
source
field. For example, enter a value such asoperational
oraudit
. - In the
interval
field, enter the number of seconds for the duration of the rule evaluation interval. - Optional: In the
limit
field, enter the maximum number of alerts. Enter0
for unlimited alerts. In the
recordRules
field, enter the following information to calculate metrics:- 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. In the
expr
field, enter a LogQL expression for the log rule.This expression must resolve to a numeric value to be recorded as a new metric.
Optional: In the
labels
field, define the labels that you want to add or overwrite as key-value pairs.
- In the
Save the YAML file of the CR.
Deploy the CR in your project's namespace of the admin cluster to create the record rules.
The LoggingRule
record rules
A LoggingRule
custom resource contains recording rules that describe the conditions to calculate new metrics based on pre-existing system logging data for observability.
The following YAML file shows a template for the recordRules
field of the LoggingRule
CR.
# Configures either an alert or a target record for precomputation
apiVersion: logging.gdc.goog/v1alpha1
kind: LoggingRule
metadata:
# Choose namespace that matches the project's namespace
# Note: The alert or record will be produced in the same namespace
namespace: PROJECT_NAMESPACE
name: alerting-config
spec:
# Choose which log source to base alerts on (Operational/Audit/Security Logs)
# Optional, Default: Operational
source: <string>
# Rule evaluation interval
interval: <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} pairs
labels:
<labelname>: <labelvalue>
...
Replace PROJECT_NAMESPACE with the namespace of your project.