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.

View metrics and quotas

Viewing metrics in the console

You can view your Cloud Run functions with their execution times, execution counts, and memory usage in the Google Cloud console. These metrics are also available in Cloud Monitoring , where you can set up custom alerting on these metrics. See the Cloud Monitoring documentation for more information.

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 library 
 const 
  
 monitoring 
  
 = 
  
 require 
 ( 
 ' @google-cloud/monitoring 
' 
 ); 
 // Creates a client 
 const 
  
 client 
  
 = 
  
 new 
  
 monitoring 
 . 
  MetricServiceClient 
 
 (); 
 async 
  
 function 
  
 readTimeSeriesData 
 () 
  
 { 
  
 /** 
 * 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"'; 
  
 const 
  
 request 
  
 = 
  
 { 
  
 name 
 : 
  
 client 
 . 
 projectPath 
 ( 
 projectId 
 ), 
  
 filter 
 : 
  
 filter 
 , 
  
 interval 
 : 
  
 { 
  
 startTime 
 : 
  
 { 
  
 // Limit results to the last 20 minutes 
  
 seconds 
 : 
  
 Date 
 . 
 now 
 () 
  
 / 
  
 1000 
  
 - 
  
 60 
  
 * 
  
 20 
 , 
  
 }, 
  
 endTime 
 : 
  
 { 
  
 seconds 
 : 
  
 Date 
 . 
 now 
 () 
  
 / 
  
 1000 
 , 
  
 }, 
  
 }, 
  
 }; 
  
 // Writes time series data 
  
 const 
  
 [ 
 timeSeries 
 ] 
  
 = 
  
 await 
  
 client 
 . 
 listTimeSeries 
 ( 
 request 
 ); 
  
 timeSeries 
 . 
 forEach 
 ( 
 data 
  
 = 
>  
 { 
  
 console 
 . 
 log 
 ( 
 ` 
 ${ 
 data 
 . 
 metric 
 . 
 labels 
 . 
 instance_name 
 } 
 :` 
 ); 
  
 data 
 . 
 points 
 . 
 forEach 
 ( 
 point 
  
 = 
>  
 { 
  
 console 
 . 
 log 
 ( 
 JSON 
 . 
 stringify 
 ( 
 point 
 . 
 value 
 )); 
  
 }); 
  
 }); 
 } 
 readTimeSeriesData 
 ();