If you are creating a new function, see the Console Quickstart on Cloud Run. The content on this page only applies to existing legacy functions created with the Cloud Functions v1 API.
You can view the metrics for API calls in the API overview page of the Google Cloud console.
Finally, you can view the quota metrics for both API calls and function execution in the API quotas page of the Google Cloud console. You can set up alerting on quota errors in Cloud Monitoring by filtering executions that have an out of quota value for the STATUS metric label. See Introduction to Alerting for more information.
Reading metrics programmatically
The following snippet illustrates how you can also read metrics from your code.
Node.js
// Imports the Google Cloud client libraryconstmonitoring=require('@google-cloud/monitoring');// Creates a clientconstclient=newmonitoring.MetricServiceClient();asyncfunctionreadTimeSeriesData(){/** * TODO(developer): Uncomment and edit the following lines of code. */// const projectId = 'YOUR_PROJECT_ID';// const filter = 'metric.type="compute.googleapis.com/instance/cpu/utilization"';constrequest={name:client.projectPath(projectId),filter:filter,interval:{startTime:{// Limit results to the last 20 minutesseconds:Date.now()/1000-60*20,},endTime:{seconds:Date.now()/1000,},},};// Writes time series dataconst[timeSeries]=awaitclient.listTimeSeries(request);timeSeries.forEach(data=>{console.log(`${data.metric.labels.instance_name}:`);data.points.forEach(point=>{console.log(JSON.stringify(point.value));});});}readTimeSeriesData();
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-11-24 UTC."],[],[]]