Monitoring client libraries

This page shows how to get started with the Cloud Client Libraries for the Cloud Monitoring API. Client libraries make it easier to access Google Cloud APIs from a supported language. Although you can use Google Cloud APIs directly by making raw requests to the server, client libraries provide simplifications that significantly reduce the amount of code you need to write.

Read more about the Cloud Client Libraries and the older Google API Client Libraries in Client libraries explained .

The samples on this page use custom, or user-defined, metrics to illustrate the use of the client libraries. The system-defined metrics described in the Metrics list are collected for you. You don't need to write any code to collect them, although the agent metrics do require the installation of the Cloud Monitoring agent. For more information on agent metrics, see the Agent metrics list .

For information about the previous Monitoring API client libraries, see Monitoring API Client Libraries .

Install the client library

C++

See Setting up a C++ development environment for details about this client library's requirements and install dependencies.

C#

In Visual Studio 2013/2015, open the Package Manager Console and run this command:

Install-Package Google.Cloud.Monitoring.V3 -Pre

For more information, see Setting Up a C# Development Environment .

Go

go get cloud.google.com/go/monitoring/apiv3

For more information, see Setting Up a Go Development Environment .

Java

If you are using Maven with a BOM, add the following to your pom.xml file:

 < dependencyManagement 
>  
< dependencies 
>  
< dependency 
>  
< groupId>com 
 . 
 google 
 . 
 cloud 
< / 
 groupId 
>  
< artifactId>libraries 
 - 
 bom 
< / 
 artifactId 
>  
< version>26 
 . 
 32 
 . 
 0 
< / 
 version 
>  
< type>pom 
< / 
 type 
>  
< scope>import 
< / 
 scope 
>  
< /dependency 
> </ 
 dependencies 
>
< /dependencyManagement 
>
< dependencies 
> <dependency> 
 <groupId>com.google.cloud</ 
 groupId 
>  
< artifactId>google 
 - 
 cloud 
 - 
 monitoring 
< / 
 artifactId 
>  
< /dependency 
>
< / 
 dependencies 
>

If you are using Maven without a BOM, add this to your dependencies:

 < dependencyManagement 
>  
< dependencies 
>  
< dependency 
>  
< groupId>com 
 . 
 google 
 . 
 cloud 
< / 
 groupId 
>  
< artifactId>libraries 
 - 
 bom 
< / 
 artifactId 
>  
< version>26 
 . 
 66 
 . 
 0 
< / 
 version 
>  
< type>pom 
< / 
 type 
>  
< scope>import 
< / 
 scope 
>  
< /dependency 
> </ 
 dependencies 
>
< /dependencyManagement 
>

< dependencies 
> <dependency> 
 <groupId>com.google.cloud</ 
 groupId 
>  
< artifactId>google 
 - 
 cloud 
 - 
 monitoring 
< / 
 artifactId 
>  
< /dependency 
>
< / 
 dependencies 
>

If you are using Gradle , add the following to your dependencies:

  implementation 
  
 'com.google.cloud:google-cloud-monitoring:3.73.0'

If you are using sbt , add the following to your dependencies:

  libraryDependencies 
  
 += 
  
 "com.google.cloud" 
  
 % 
  
 "google-cloud-monitoring" 
  
 % 
  
 "3.73.0"

If you're using Visual Studio Code, IntelliJ, or Eclipse, you can add client libraries to your project using the following IDE plugins:

The plugins provide additional functionality, such as key management for service accounts. Refer to each plugin's documentation for details.

For more information, see Setting Up a Java Development Environment .

Node.js

npm install @google-cloud/monitoring

For more information, see Setting Up a Node.js Development Environment .

PHP

composer require google/cloud-monitoring

For more information, see Using PHP on Google Cloud .

Python

pip install --upgrade google-cloud-monitoring

For more information, see Setting Up a Python Development Environment .

Ruby

gem install google-cloud-monitoring

For more information, see Setting Up a Ruby Development Environment .

Set up authentication

To authenticate calls to Google Cloud APIs, client libraries support Application Default Credentials (ADC) ; the libraries look for credentials in a set of defined locations and use those credentials to authenticate requests to the API. With ADC, you can make credentials available to your application in a variety of environments, such as local development or production, without needing to modify your application code.

For production environments, the way you set up ADC depends on the service and context. For more information, see Set up Application Default Credentials .

For a local development environment, you can set up ADC with the credentials that are associated with your Google Account:

Install the Google Cloud CLI. After installation, initialize the Google Cloud CLI by running the following command:
```
gcloud  
init
```
If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity .
If you're using a local shell, then create local authentication credentials for your user account:
```
gcloud  
auth  
application-default  
login
```
You don't need to do this if you're using Cloud Shell.

If an authentication error is returned, and you are using an external identity provider (IdP), confirm that you have signed in to the gcloud CLI with your federated identity .

A sign-in screen appears. After you sign in, your credentials are stored in the local credential file used by ADC .

Use the client library

The following example shows how to use the client library.

C++

  #include 
  
 "google/cloud/monitoring/v3/alert_policy_client.h" 
 #include 
  
 "google/cloud/project.h" 
 #include <iostream> 
 int 
  
 main 
 ( 
 int 
  
 argc 
 , 
  
 char 
 * 
  
 argv 
 []) 
  
 try 
  
 { 
  
 if 
  
 ( 
 argc 
  
 != 
  
 2 
 ) 
  
 { 
  
 std 
 :: 
 cerr 
 << 
 "Usage: " 
 << 
 argv 
 [ 
 0 
 ] 
 << 
 " project-id 
 \n 
 " 
 ; 
  
 return 
  
 1 
 ; 
  
 } 
  
 namespace 
  
 monitoring 
  
 = 
  
 :: 
 google 
 :: 
 cloud 
 :: 
 monitoring_v3 
 ; 
  
 auto 
  
 client 
  
 = 
  
 monitoring 
 :: 
 AlertPolicyServiceClient 
 ( 
  
 monitoring 
 :: 
 MakeAlertPolicyServiceConnection 
 ()); 
  
 auto 
  
 const 
  
 project 
  
 = 
  
 google 
 :: 
 cloud 
 :: 
 Project 
 ( 
 argv 
 [ 
 1 
 ]); 
  
 for 
  
 ( 
 auto 
  
 a 
  
 : 
  
 client 
 . 
 ListAlertPolicies 
 ( 
 project 
 . 
 FullName 
 ())) 
  
 { 
  
 if 
  
 ( 
 ! 
 a 
 ) 
  
 throw 
  
 std 
 :: 
 move 
 ( 
 a 
 ). 
 status 
 (); 
  
 std 
 :: 
 cout 
 << 
 a 
 - 
> DebugString 
 () 
 << 
 " 
 \n 
 " 
 ; 
  
 } 
  
 return 
  
 0 
 ; 
 } 
  
 catch 
  
 ( 
 google 
 :: 
 cloud 
 :: 
 Status 
  
 const 
&  
 status 
 ) 
  
 { 
  
 std 
 :: 
 cerr 
 << 
 "google::cloud::Status thrown: " 
 << 
 status 
 << 
 " 
 \n 
 " 
 ; 
  
 return 
  
 1 
 ; 
 }

C#

README.md for instructions on using Visual Studio to build and run this sample C# code.

  using 
  
 System 
 ; 
 using 
  
 System.Collections.Generic 
 ; 
 using 
  
  Google.Cloud.Monitoring.V3 
 
 ; 
 using 
  
  Google.Protobuf.WellKnownTypes 
 
 ; 
 using 
  
  Google.Api 
 
 ; 
 using 
  
  Google.Api.Gax.ResourceNames 
 
 ; 
 namespace 
  
 GoogleCloudSamples 
 { 
  
 public 
  
 class 
  
 QuickStart 
  
 { 
  
 public 
  
 static 
  
 void 
  
 Main 
 ( 
 string 
 [] 
  
 args 
 ) 
  
 { 
  
 // Your Google Cloud Platform project ID. 
  
 string 
  
 projectId 
  
 = 
  
 "YOUR-PROJECT-ID" 
 ; 
  
 // Create client. 
  
  MetricServiceClient 
 
  
 metricServiceClient 
  
 = 
  
  MetricServiceClient 
 
 . 
  Create 
 
 (); 
  
 // Initialize request argument(s). 
  
  ProjectName 
 
  
 name 
  
 = 
  
 new 
  
  ProjectName 
 
 ( 
 projectId 
 ); 
  
 // Prepare a data point. 
  
  TypedValue 
 
  
 salesTotal 
  
 = 
  
 new 
  
  TypedValue 
 
  
 { 
  
 DoubleValue 
  
 = 
  
 123.45 
  
 }; 
  
  Point 
 
  
 dataPoint 
  
 = 
  
 new 
  
  Point 
 
  
 { 
  
 Value 
  
 = 
  
 salesTotal 
  
 }; 
  
 // Sets data point's interval end time to current time. 
  
 DateTime 
  
 UnixEpoch 
  
 = 
  
 new 
  
 DateTime 
 ( 
 1970 
 , 
  
 1 
 , 
  
 1 
 , 
  
 0 
 , 
  
 0 
 , 
  
 0 
 , 
  
 DateTimeKind 
 . 
 Utc 
 ); 
  
  Timestamp 
 
  
 timeStamp 
  
 = 
  
 new 
  
  Timestamp 
 
  
 { 
  
 Seconds 
  
 = 
  
 ( 
 long 
 )( 
 DateTime 
 . 
 UtcNow 
  
 - 
  
 UnixEpoch 
 ). 
 TotalSeconds 
  
 }; 
  
  TimeInterval 
 
  
 interval 
  
 = 
  
 new 
  
  TimeInterval 
 
  
 { 
  
 EndTime 
  
 = 
  
 timeStamp 
  
 }; 
  
 dataPoint 
 . 
  Interval 
 
  
 = 
  
 interval 
 ; 
  
 // Prepare custom metric. 
  
  Metric 
 
  
 metric 
  
 = 
  
 new 
  
  Metric 
 
  
 { 
  
 Type 
  
 = 
  
 "custom.googleapis.com/my_metric" 
  
 }; 
  
 metric 
 . 
  Labels 
 
 . 
  Add 
 
 ( 
 "store_id" 
 , 
  
 "Pittsburgh" 
 ); 
  
 // Prepare monitored resource. 
  
  MonitoredResource 
 
  
 resource 
  
 = 
  
 new 
  
  MonitoredResource 
 
  
 { 
  
 Type 
  
 = 
  
 "gce_instance" 
  
 }; 
  
  
 resource 
 . 
  Labels 
 
 . 
  Add 
 
 ( 
 "project_id" 
 , 
  
 projectId 
 ); 
  
 resource 
 . 
  Labels 
 
 . 
  Add 
 
 ( 
 "instance_id" 
 , 
  
 "1234567890123456789" 
 ); 
  
 resource 
 . 
  Labels 
 
 . 
  Add 
 
 ( 
 "zone" 
 , 
  
 "us-central1-f" 
 ); 
  
 // Create a new time series using inputs. 
  
  TimeSeries 
 
  
 timeSeriesData 
  
 = 
  
 new 
  
  TimeSeries 
 
  
 { 
  
 Metric 
  
 = 
  
 metric 
 , 
  
 Resource 
  
 = 
  
 resource 
  
 }; 
  
 timeSeriesData 
 . 
  Points 
 
 . 
  Add 
 
 ( 
 dataPoint 
 ); 
  
 // Add newly created time series to list of time series to be written. 
  
 IEnumerable<TimeSeries> 
  
 timeSeries 
  
 = 
  
 new 
  
 List<TimeSeries> 
  
 { 
  
 timeSeriesData 
  
 }; 
  
 // Write time series data. 
  
 metricServiceClient 
 . 
  CreateTimeSeries 
 
 ( 
 name 
 , 
  
 timeSeries 
 ); 
  
 Console 
 . 
 WriteLine 
 ( 
 "Done writing time series data." 
 ); 
  
 } 
  
 } 
 }

Go

  // Sample monitoring-quickstart writes a data point to Stackdriver Monitoring. 
 package 
  
 main 
 import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "log" 
  
 "time" 
  
 monitoring 
  
 "cloud.google.com/go/monitoring/apiv3/v2" 
  
 "cloud.google.com/go/monitoring/apiv3/v2/monitoringpb" 
  
 googlepb 
  
 "github.com/golang/protobuf/ptypes/timestamp" 
  
 metricpb 
  
 "google.golang.org/genproto/googleapis/api/metric" 
  
 monitoredrespb 
  
 "google.golang.org/genproto/googleapis/api/monitoredres" 
 ) 
 func 
  
 main 
 () 
  
 { 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 // Creates a client. 
  
 client 
 , 
  
 err 
  
 := 
  
 monitoring 
 . 
  NewMetricClient 
 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 log 
 . 
 Fatalf 
 ( 
 "Failed to create client: %v" 
 , 
  
 err 
 ) 
  
 } 
  
 // Sets your Google Cloud Platform project ID. 
  
 projectID 
  
 := 
  
 "YOUR_PROJECT_ID" 
  
 // Prepares an individual data point 
  
 dataPoint 
  
 := 
  
& monitoringpb 
 . 
 Point 
 { 
  
 Interval 
 : 
  
& monitoringpb 
 . 
 TimeInterval 
 { 
  
 EndTime 
 : 
  
& googlepb 
 . 
 Timestamp 
 { 
  
 Seconds 
 : 
  
 time 
 . 
 Now 
 (). 
 Unix 
 (), 
  
 }, 
  
 }, 
  
 Value 
 : 
  
& monitoringpb 
 . 
 TypedValue 
 { 
  
 Value 
 : 
  
& monitoringpb 
 . 
 TypedValue_DoubleValue 
 { 
  
 DoubleValue 
 : 
  
 123.45 
 , 
  
 }, 
  
 }, 
  
 } 
  
 // Writes time series data. 
  
 if 
  
 err 
  
 := 
  
 client 
 . 
 CreateTimeSeries 
 ( 
 ctx 
 , 
  
& monitoringpb 
 . 
 CreateTimeSeriesRequest 
 { 
  
 Name 
 : 
  
 fmt 
 . 
 Sprintf 
 ( 
 "projects/%s" 
 , 
  
 projectID 
 ), 
  
 TimeSeries 
 : 
  
 [] 
 * 
 monitoringpb 
 . 
 TimeSeries 
 { 
  
 { 
  
 Metric 
 : 
  
& metricpb 
 . 
 Metric 
 { 
  
 Type 
 : 
  
 "custom.googleapis.com/stores/daily_sales" 
 , 
  
 Labels 
 : 
  
 map 
 [ 
 string 
 ] 
 string 
 { 
  
 "store_id" 
 : 
  
 "Pittsburg" 
 , 
  
 }, 
  
 }, 
  
 Resource 
 : 
  
& monitoredrespb 
 . 
 MonitoredResource 
 { 
  
 Type 
 : 
  
 "global" 
 , 
  
 Labels 
 : 
  
 map 
 [ 
 string 
 ] 
 string 
 { 
  
 "project_id" 
 : 
  
 projectID 
 , 
  
 }, 
  
 }, 
  
 Points 
 : 
  
 [] 
 * 
 monitoringpb 
 . 
 Point 
 { 
  
 dataPoint 
 , 
  
 }, 
  
 }, 
  
 }, 
  
 }); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 log 
 . 
 Fatalf 
 ( 
 "Failed to write time series data: %v" 
 , 
  
 err 
 ) 
  
 } 
  
 // Closes the client and flushes the data to Stackdriver. 
  
 if 
  
 err 
  
 := 
  
 client 
 . 
 Close 
 (); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 log 
 . 
 Fatalf 
 ( 
 "Failed to close client: %v" 
 , 
  
 err 
 ) 
  
 } 
  
 fmt 
 . 
 Printf 
 ( 
 "Done writing time series data.\n" 
 ) 
 }

Java

  import 
  
 com.google.api. Metric 
 
 ; 
 import 
  
 com.google.api. MonitoredResource 
 
 ; 
 import 
  
 com.google.cloud.monitoring.v3. MetricServiceClient 
 
 ; 
 import 
  
 com.google.monitoring.v3. CreateTimeSeriesRequest 
 
 ; 
 import 
  
 com.google.monitoring.v3. Point 
 
 ; 
 import 
  
 com.google.monitoring.v3. ProjectName 
 
 ; 
 import 
  
 com.google.monitoring.v3. TimeInterval 
 
 ; 
 import 
  
 com.google.monitoring.v3. TimeSeries 
 
 ; 
 import 
  
 com.google.monitoring.v3. TypedValue 
 
 ; 
 import 
  
 com.google.protobuf.util. Timestamps 
 
 ; 
 import 
  
 java.io.IOException 
 ; 
 import 
  
 java.util.ArrayList 
 ; 
 import 
  
 java.util.HashMap 
 ; 
 import 
  
 java.util.List 
 ; 
 import 
  
 java.util.Map 
 ; 
 public 
  
 class 
 QuickstartSample 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 ... 
  
 args 
 ) 
  
 throws 
  
 Exception 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 projectId 
  
 = 
  
 "your-project-id" 
 ; 
  
 quickstart 
 ( 
 projectId 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 quickstart 
 ( 
 String 
  
 projectId 
 ) 
  
 throws 
  
 IOException 
  
 { 
  
 // Initialize client that will be used to send requests. This client only needs to be created 
  
 // once, and can be reused for multiple requests. 
  
 try 
  
 ( 
  MetricServiceClient 
 
  
 metricServiceClient 
  
 = 
  
  MetricServiceClient 
 
 . 
 create 
 ()) 
  
 { 
  
 // Prepares an individual data point 
  
  TimeInterval 
 
  
 interval 
  
 = 
  
  TimeInterval 
 
 . 
 newBuilder 
 () 
  
 . 
 setEndTime 
 ( 
  Timestamps 
 
 . 
 fromMillis 
 ( 
 System 
 . 
 currentTimeMillis 
 ())) 
  
 . 
 build 
 (); 
  
  TypedValue 
 
  
 value 
  
 = 
  
  TypedValue 
 
 . 
 newBuilder 
 (). 
 setDoubleValue 
 ( 
 123.45 
 ). 
 build 
 (); 
  
  Point 
 
  
 point 
  
 = 
  
  Point 
 
 . 
 newBuilder 
 (). 
 setInterval 
 ( 
 interval 
 ). 
 setValue 
 ( 
 value 
 ). 
 build 
 (); 
  
 List<Point> 
  
 pointList 
  
 = 
  
 new 
  
 ArrayList 
<> (); 
  
 pointList 
 . 
 add 
 ( 
 point 
 ); 
  
  ProjectName 
 
  
 name 
  
 = 
  
  ProjectName 
 
 . 
 of 
 ( 
 projectId 
 ); 
  
 // Prepares the metric descriptor 
  
 Map<String 
 , 
  
 String 
>  
 metricLabels 
  
 = 
  
 new 
  
 HashMap 
<> (); 
  
 metricLabels 
 . 
 put 
 ( 
 "store_id" 
 , 
  
 "Pittsburg" 
 ); 
  
  Metric 
 
  
 metric 
  
 = 
  
  Metric 
 
 . 
 newBuilder 
 () 
  
 . 
 setType 
 ( 
 "custom.googleapis.com/stores/daily_sales" 
 ) 
  
 . 
 putAllLabels 
 ( 
 metricLabels 
 ) 
  
 . 
 build 
 (); 
  
 // Prepares the monitored resource descriptor 
  
 Map<String 
 , 
  
 String 
>  
 resourceLabels 
  
 = 
  
 new 
  
 HashMap 
<> (); 
  
 resourceLabels 
 . 
 put 
 ( 
 "project_id" 
 , 
  
 projectId 
 ); 
  
  MonitoredResource 
 
  
 resource 
  
 = 
  
  MonitoredResource 
 
 . 
 newBuilder 
 (). 
 setType 
 ( 
 "global" 
 ). 
 putAllLabels 
 ( 
 resourceLabels 
 ). 
 build 
 (); 
  
 // Prepares the time series request 
  
  TimeSeries 
 
  
 timeSeries 
  
 = 
  
  TimeSeries 
 
 . 
 newBuilder 
 () 
  
 . 
 setMetric 
 ( 
 metric 
 ) 
  
 . 
  setResource 
 
 ( 
 resource 
 ) 
  
 . 
  addAllPoints 
 
 ( 
 pointList 
 ) 
  
 . 
 build 
 (); 
  
 List<TimeSeries> 
  
 timeSeriesList 
  
 = 
  
 new 
  
 ArrayList 
<> (); 
  
 timeSeriesList 
 . 
 add 
 ( 
 timeSeries 
 ); 
  
  CreateTimeSeriesRequest 
 
  
 request 
  
 = 
  
  CreateTimeSeriesRequest 
 
 . 
 newBuilder 
 () 
  
 . 
 setName 
 ( 
 name 
 . 
  toString 
 
 ()) 
  
 . 
 addAllTimeSeries 
 ( 
 timeSeriesList 
 ) 
  
 . 
 build 
 (); 
  
 // Writes time series data 
  
 metricServiceClient 
 . 
 createTimeSeries 
 ( 
 request 
 ); 
  
 System 
 . 
 out 
 . 
 printf 
 ( 
 "Done writing time series data.%n" 
 ); 
  
 } 
  
 } 
 }

Node.js

  // Imports the Google Cloud client library 
 const 
  
 monitoring 
  
 = 
  
 require 
 ( 
 ' @google-cloud/monitoring 
' 
 ); 
 async 
  
 function 
  
 quickstart 
 () 
  
 { 
  
 // Creates a client 
  
 const 
  
 client 
  
 = 
  
 new 
  
 monitoring 
 . 
  MetricServiceClient 
 
 (); 
  
 // TODO(developer): Uncomment and set the following variables 
  
 // const projectId = "PROJECT_ID" 
  
 // Prepares an individual data point 
  
 const 
  
 dataPoint 
  
 = 
  
 { 
  
 interval 
 : 
  
 { 
  
 endTime 
 : 
  
 { 
  
 seconds 
 : 
  
 Date 
 . 
 now 
 () 
  
 / 
  
 1000 
 , 
  
 }, 
  
 }, 
  
 value 
 : 
  
 { 
  
 // The amount of sales 
  
 doubleValue 
 : 
  
 123.45 
 , 
  
 }, 
  
 }; 
  
 // Prepares the time series request 
  
 const 
  
 request 
  
 = 
  
 { 
  
 name 
 : 
  
 client 
 . 
 projectPath 
 ( 
 projectId 
 ), 
  
 timeSeries 
 : 
  
 [ 
  
 { 
  
 // Ties the data point to a custom metric 
  
 metric 
 : 
  
 { 
  
 type 
 : 
  
 'custom.googleapis.com/stores/daily_sales' 
 , 
  
 labels 
 : 
  
 { 
  
 store_id 
 : 
  
 'Pittsburgh' 
 , 
  
 }, 
  
 }, 
  
 resource 
 : 
  
 { 
  
 type 
 : 
  
 'global' 
 , 
  
 labels 
 : 
  
 { 
  
 project_id 
 : 
  
 projectId 
 , 
  
 }, 
  
 }, 
  
 points 
 : 
  
 [ 
 dataPoint 
 ], 
  
 }, 
  
 ], 
  
 }; 
  
 // Writes time series data 
  
 const 
  
 [ 
 result 
 ] 
  
 = 
  
 await 
  
 client 
 . 
 createTimeSeries 
 ( 
 request 
 ); 
  
 console 
 . 
 log 
 ( 
 'Done writing time series data.' 
 , 
  
 result 
 ); 
 } 
 quickstart 
 ();

PHP

  # Includes the autoloader for libraries installed with composer 
 require_once __DIR__ . '/vendor/autoload.php'; 
 # Imports the Google Cloud client library 
 use Google\Api\Metric; 
 use Google\Api\MonitoredResource; 
 use Google\Cloud\Monitoring\V3\Client\MetricServiceClient; 
 use Google\Cloud\Monitoring\V3\CreateTimeSeriesRequest; 
 use Google\Cloud\Monitoring\V3\Point; 
 use Google\Cloud\Monitoring\V3\TimeInterval; 
 use Google\Cloud\Monitoring\V3\TimeSeries; 
 use Google\Cloud\Monitoring\V3\TypedValue; 
 use Google\Protobuf\Timestamp; 
 // These variables are set by the App Engine environment. To test locally, 
 // ensure these are set or manually change their values. 
 $projectId = getenv('GCLOUD_PROJECT') ?: 'YOUR_PROJECT_ID'; 
 $instanceId = '1234567890123456789'; 
 $zone = 'us-central1-f'; 
 try { 
 $client = new MetricServiceClient(); 
 $formattedProjectName = 'projects/' . $projectId; 
 $labels = [ 
 'instance_id' => $instanceId, 
 'zone' => $zone, 
 ]; 
 $m = new Metric(); 
 $m->setType('custom.googleapis.com/my_metric'); 
 $r = new MonitoredResource(); 
 $r->setType('gce_instance'); 
 $r->setLabels($labels); 
 $value = new TypedValue(); 
 $value->setDoubleValue(3.14); 
 $timestamp = new Timestamp(); 
 $timestamp->setSeconds(time()); 
 $interval = new TimeInterval(); 
 $interval->setStartTime($timestamp); 
 $interval->setEndTime($timestamp); 
 $point = new Point(); 
 $point->setValue($value); 
 $point->setInterval($interval); 
 $points = [$point]; 
 $timeSeries = new TimeSeries(); 
 $timeSeries->setMetric($m); 
 $timeSeries->setResource($r); 
 $timeSeries->setPoints($points); 
 $createTimeSeriesRequest = (new CreateTimeSeriesRequest()) 
 ->setName($formattedProjectName) 
 ->setTimeSeries([$timeSeries]); 
 $client->createTimeSeries($createTimeSeriesRequest); 
 print('Successfully submitted a time series' . PHP_EOL); 
 } finally { 
 $client->close(); 
 }

Python

  from 
  
 google.cloud 
  
 import 
  monitoring_v3 
 
 import 
  
 time 
 client 
 = 
  monitoring_v3 
 
 . 
  MetricServiceClient 
 
 () 
 # project_id = 'my-project'  # TODO: Update to your project ID. 
 project_name 
 = 
 f 
 "projects/ 
 { 
 project_id 
 } 
 " 
 series 
 = 
  monitoring_v3 
 
 . 
  TimeSeries 
 
 () 
 series 
 . 
 metric 
 . 
 type 
 = 
 "custom.googleapis.com/my_metric" 
 series 
 . 
 metric 
 . 
 labels 
 [ 
 "store_id" 
 ] 
 = 
 "Pittsburgh" 
 series 
 . 
 resource 
 . 
 type 
 = 
 "gce_instance" 
 series 
 . 
 resource 
 . 
 labels 
 [ 
 "instance_id" 
 ] 
 = 
 "1234567890123456789" 
 series 
 . 
 resource 
 . 
 labels 
 [ 
 "zone" 
 ] 
 = 
 "us-central1-f" 
 now 
 = 
 time 
 . 
 time 
 () 
 seconds 
 = 
 int 
 ( 
 now 
 ) 
 nanos 
 = 
 int 
 (( 
 now 
 - 
 seconds 
 ) 
 * 
 10 
 ** 
 9 
 ) 
 interval 
 = 
  monitoring_v3 
 
 . 
  TimeInterval 
 
 ( 
 { 
 "end_time" 
 : 
 { 
 "seconds" 
 : 
 seconds 
 , 
 "nanos" 
 : 
 nanos 
 }} 
 ) 
 point 
 = 
  monitoring_v3 
 
 . 
  Point 
 
 ({ 
 "interval" 
 : 
 interval 
 , 
 "value" 
 : 
 { 
 "double_value" 
 : 
 3.14 
 }}) 
 series 
 . 
 points 
 = 
 [ 
 point 
 ] 
 client 
 . 
  create_time_series 
 
 ( 
 request 
 = 
 { 
 "name" 
 : 
 project_name 
 , 
 "time_series" 
 : 
 [ 
 series 
 ]}) 
 print 
 ( 
 "Successfully wrote time series." 
 ) 
 return 
 True

Ruby

  gem 
  
 "google-cloud-monitoring" 
 require 
  
 "google/cloud/monitoring" 
 # Your Google Cloud Platform project ID 
 # project_id = "YOUR_PROJECT_ID" 
 # Example metric label 
 # metric_label = "my-value" 
 # Instantiates a client 
 metric_service_client 
  
 = 
  
 Google 
 :: 
 Cloud 
 :: 
  Monitoring 
 
 . 
  metric_service 
 
 project_path 
  
 = 
  
 metric_service_client 
 . 
 project_path 
  
 project 
 : 
  
 project_id 
 series 
  
 = 
  
 Google 
 :: 
 Cloud 
 :: 
  Monitoring 
 
 :: 
  V3 
 
 :: 
 TimeSeries 
 . 
 new 
 series 
 . 
  metric 
 
  
 = 
  
 Google 
 :: 
 Api 
 :: 
  Metric 
 
 . 
 new 
  
 type 
 : 
  
 "custom.googleapis.com/my_metric" 
 , 
  
 labels 
 : 
  
 { 
  
 "my_key" 
  
 = 
>  
 metric_label 
  
 } 
 resource 
  
 = 
  
 Google 
 :: 
 Api 
 :: 
  MonitoredResource 
 
 . 
 new 
  
 type 
 : 
  
 "gce_instance" 
 resource 
 . 
 labels 
 [ 
 "project_id" 
 ] 
  
 = 
  
 project_id 
 resource 
 . 
 labels 
 [ 
 "instance_id" 
 ] 
  
 = 
  
 "1234567890123456789" 
 resource 
 . 
 labels 
 [ 
 "zone" 
 ] 
  
 = 
  
 "us-central1-f" 
 series 
 . 
  resource 
 
  
 = 
  
 resource 
 point 
  
 = 
  
 Google 
 :: 
 Cloud 
 :: 
  Monitoring 
 
 :: 
  V3 
 
 :: 
 Point 
 . 
 new 
 point 
 . 
 value 
  
 = 
  
 Google 
 :: 
 Cloud 
 :: 
  Monitoring 
 
 :: 
  V3 
 
 :: 
 TypedValue 
 . 
 new 
  
 double_value 
 : 
  
 3 
 . 
 14 
 now 
  
 = 
  
 Time 
 . 
 now 
 end_time 
  
 = 
  
 Google 
 :: 
 Protobuf 
 :: 
  Timestamp 
 
 . 
 new 
  
 seconds 
 : 
  
 now 
 . 
 to_i 
 , 
  
 nanos 
 : 
  
 now 
 . 
 nsec 
 point 
 . 
 interval 
  
 = 
  
 Google 
 :: 
 Cloud 
 :: 
  Monitoring 
 
 :: 
  V3 
 
 :: 
 TimeInterval 
 . 
 new 
  
 end_time 
 : 
  
 end_time 
 series 
 . 
  points 
 
 << 
 point 
 metric_service_client 
 . 
 create_time_series 
  
 name 
 : 
  
 project_path 
 , 
  
 time_series 
 : 
  
 [ 
 series 
 ] 
 puts 
  
 "Successfully wrote time series."

Additional resources

C++

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C#

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Go

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Java

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Node.js

PHP

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Python

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Ruby

The following list contains links to more resources related to the client library for Ruby:

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Additional resources

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Monitoring client libraries