Monitoring Client Libraries

This page shows how to get started with the Cloud Client Libraries for the Cloud Monitoring API. Read more about the client libraries for Cloud APIs, including the older Google APIs 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.

Installing the client library

C#

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

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

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

Go

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

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

Java

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

Maven과 함께 BOM을 사용하는 경우 pom.xml 파일에 다음을 추가합니다.

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>20.2.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

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

BOM을 사용하지 않고 Maven을 사용하는 경우 종속 항목에 다음을 추가합니다.

<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-monitoring</artifactId>
  <version>2.2.1</version>
</dependency>

Gradle을 사용하는 경우 종속 항목에 다음을 추가합니다.

implementation platform('com.google.cloud:libraries-bom:20.2.0')

compile 'com.google.cloud:google-cloud-monitoring'

SBT를 사용하는 경우 종속 항목에 다음을 추가합니다.

libraryDependencies += "com.google.cloud" % "google-cloud-monitoring" % "2.2.1"

IntelliJ 또는 Eclipse를 사용하는 경우 다음 IDE 플러그인을 사용하여 클라이언트 라이브러리를 프로젝트에 추가할 수 있습니다.

• IntelliJ용 Cloud Code
• Eclipse용 Cloud Tools

이 플러그인은 서비스 계정의 키 관리와 같은 추가 기능을 제공합니다. 자세한 내용은 각 플러그인의 문서를 참조하세요.

참고: Cloud 자바 클라이언트 라이브러리는 현재 Android를 지원하지 않습니다.

Node.js

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

npm install --save @google-cloud/monitoring

PHP

For more information, see Using PHP on Google Cloud.

composer require google/cloud-monitoring

Note: The Monitoring API Client Library requires you install and enable the gRPC Extension for PHP.

Python

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

pip install --upgrade google-cloud-monitoring

Ruby

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

gem install google-cloud-monitoring

Setting up authentication

To run the client library, you must first set up authentication by creating a service account and setting an environment variable. Complete the following steps to set up authentication. For other ways to authenticate, see the GCP authentication documentation.

Cloud Console

서비스 계정을 만듭니다.

1. Cloud Console에서 서비스 계정 만들기 페이지로 이동합니다.

   서비스 계정 만들기로 이동
2. 프로젝트를 선택합니다.

3. 서비스 계정 이름 필드에 이름을 입력합니다. Cloud Console은 이 이름을 기반으로 서비스 계정 ID 필드를 채웁니다.

   서비스 계정 설명 필드에 설명을 입력합니다. 예를 들면 Service account for quickstart입니다.

4. 만들기를 클릭합니다.

5. 역할 선택 필드를 클릭합니다.

   빠른 액세스에서 기본을 클릭한 후 소유자를 클릭합니다.

   참고: 역할 필드는 서비스 계정이 프로젝트에서 액세스할 수 있는 리소스에 영향을 줍니다. 이러한 역할을 취소하거나 나중에 추가 역할을 부여할 수 있습니다. 프로덕션 환경에서는 소유자, 편집자 또는 뷰어 역할을 부여하지 마세요. 자세한 내용은 리소스에 대한 액세스 권한 부여, 변경, 취소를 참조하세요.
6. 계속을 클릭합니다.

7. 완료를 클릭하여 서비스 계정 만들기를 마칩니다.

   브라우저 창을 닫지 마세요. 다음 단계에서 사용합니다.

서비스 계정 키 만들기

1. Cloud Console에서 만든 서비스 계정의 이메일 주소를 클릭합니다.
2. 키를 클릭합니다.
3. 키 추가를 클릭한 후 새 키 만들기를 클릭합니다.
4. 만들기를 클릭합니다. JSON 키 파일이 컴퓨터에 다운로드됩니다.
5. 닫기를 클릭합니다.

명령줄

로컬 머신 또는 Cloud Shell에서 Cloud SDK를 사용하여 다음 명령어를 실행할 수 있습니다.

1. 서비스 계정을 만듭니다. NAME을 서비스 계정 이름으로 바꿉니다.

   gcloud iam service-accounts create NAME

2. 서비스 계정에 권한을 부여합니다. PROJECT_ID를 프로젝트 ID로 바꿉니다.

   gcloud projects add-iam-policy-binding PROJECT_ID --member="serviceAccount:NAME@PROJECT_ID.iam.gserviceaccount.com" --role="roles/owner"

   참고: --role 플래그는 서비스 계정이 프로젝트에서 액세스할 수 있는 리소스에 영향을 줍니다. 이러한 역할을 취소하거나 나중에 추가 역할을 부여할 수 있습니다. 프로덕션 환경에서는 소유자, 편집자 또는 뷰어 역할을 부여하지 마세요. 자세한 내용은 리소스에 대한 액세스 권한 부여, 변경, 취소를 참조하세요.

3. 키 파일을 생성합니다. FILE_NAME을 키 파일 이름으로 바꿉니다.

   gcloud iam service-accounts keys create FILE_NAME.json --iam-account=NAME@PROJECT_ID.iam.gserviceaccount.com

GOOGLE_APPLICATION_CREDENTIALS 환경 변수를 설정하여 애플리케이션 코드에 사용자 인증 정보를 제공합니다. 이 변수는 현재 셸 세션에만 적용되므로 새 세션을 연 경우 변수를 다시 설정합니다.

Linux 또는 macOS

export GOOGLE_APPLICATION_CREDENTIALS="KEY_PATH"

KEY_PATH를 서비스 계정 키가 포함된 JSON 파일의 경로로 바꿉니다.

예를 들면 다음과 같습니다.

export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/service-account-file.json"

Windows

PowerShell:

$env:GOOGLE_APPLICATION_CREDENTIALS="KEY_PATH"

KEY_PATH를 서비스 계정 키가 포함된 JSON 파일의 경로로 바꿉니다.

예를 들면 다음과 같습니다.

$env:GOOGLE_APPLICATION_CREDENTIALS="C:\Users\username\Downloads\service-account-file.json"

명령어 프롬프트:

set GOOGLE_APPLICATION_CREDENTIALS=KEY_PATH

KEY_PATH를 서비스 계정 키가 포함된 JSON 파일의 경로로 바꿉니다.

Using the client library

The following example shows how to use the client library.

C#

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

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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

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// Sample monitoring-quickstart writes a data point to Stackdriver Monitoring.
package main

import (
	"context"
	"fmt"
	"log"
	"time"

	monitoring "cloud.google.com/go/monitoring/apiv3"
	googlepb "github.com/golang/protobuf/ptypes/timestamp"
	metricpb "google.golang.org/genproto/googleapis/api/metric"
	monitoredrespb "google.golang.org/genproto/googleapis/api/monitoredres"
	monitoringpb "google.golang.org/genproto/googleapis/monitoring/v3"
)

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: monitoring.MetricProjectPath(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

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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<String, String>();
      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<String, String>();
      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

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// Imports the Google Cloud client library
const monitoring = require('@google-cloud/monitoring');

async function quickstart() {
  // Your Google Cloud Platform project ID
  const projectId =
    process.env.GCLOUD_PROJECT ||
    process.env.GOOGLE_CLOUD_PROJECT ||
    'YOUR_PROJECT_ID';

  // Creates a client
  const client = new monitoring.MetricServiceClient();

  // 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);
}

PHP

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# 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\MetricServiceClient;
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 = $client->projectName($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);

    $client->createTimeSeries($formattedProjectName, [$timeSeries]);
    print('Successfully submitted a time series' . PHP_EOL);
} finally {
    $client->close();
}

Python

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from google.cloud import monitoring_v3

import time

client = monitoring_v3.MetricServiceClient()
# project = 'my-project'  # TODO: Update to your project ID.
project_name = f"projects/{project}"

series = monitoring_v3.TimeSeries()
series.metric.type = "custom.googleapis.com/my_metric"
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.")

Ruby

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# 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#

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Go

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Java

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Node.js

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

PHP

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Python

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow

Ruby

• API Reference Documentation
• Source Code
• GitHub Issue Tracker
• Stack Overflow