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.

Maven を BOM ありで使用している場合は、次のものを pom.xml ファイルに追加します。

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>8.0.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

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

Maven を BOM なしで使用している場合は、次のものを依存関係に追加します。

<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-monitoring</artifactId>
  <version>1.100.2-SNAPSHOT</version>
</dependency>

Gradle を使用している場合は、次のものを依存関係に追加します。

compile 'com.google.cloud:google-cloud-monitoring:1.100.1'

sbt を使用している場合は、次のものを依存関係に追加します。

libraryDependencies += "com.google.cloud" % "google-cloud-monitoring" % "1.100.1"

IntelliJ または Eclipse を使用している場合は、次の IDE プラグインを使用してプロジェクトにクライアント ライブラリを追加できます。

プラグインでは、サービス アカウントのキー管理などの追加機能も提供されます。詳細は各プラグインのドキュメントをご覧ください。

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

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

  1. Cloud Console で、[サービス アカウント キーの作成] ページに移動します。

    [サービス アカウント キーの作成] ページに移動
  2. [サービス アカウント] リストから [新しいサービス アカウント] を選択します。
  3. [サービス アカウント名] フィールドに名前を入力します。
  4. [ロール] リストで、[プロジェクト] > [オーナー] を選択します。

    : [ロール] フィールドの設定により、リソースにアクセスするサービス アカウントが承認されます。このフィールドは、Cloud Console を使用して後から表示および変更できます。本番環境アプリケーションを開発している場合は、[プロジェクト > オーナー] よりも詳細な権限を指定します。詳しくは、サービス アカウントへのロールの付与をご覧ください。
  5. [作成] をクリックします。キーが含まれている JSON ファイルがパソコンにダウンロードされます。

コマンドライン

ローカルマシン上の Cloud SDK を使用するか、または Cloud Shell 内で以下のコマンドを実行できます。

  1. サービス アカウントを作成します。[NAME] をサービス アカウントの名前に置き換えます。

    gcloud iam service-accounts create [NAME]
  2. サービス アカウントに権限を付与します。[PROJECT_ID] を実際のプロジェクト ID に置き換えます。

    gcloud projects add-iam-policy-binding [PROJECT_ID] --member "serviceAccount:[NAME]@[PROJECT_ID].iam.gserviceaccount.com" --role "roles/owner"
    : [ロール] フィールドの設定により、リソースにアクセスするサービス アカウントが承認されます。このフィールドは、後で Cloud Console を使用して表示および変更できます。本番環境アプリケーションを開発している場合は、[プロジェクト] > [オーナー] よりも詳細な権限を指定します。詳しくはサービス アカウントへのロールの付与をご覧ください。
  3. キーファイルを生成します。[FILE_NAME] はキーファイルの名前に置き換えてください。

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

環境変数 GOOGLE_APPLICATION_CREDENTIALS を設定して、アプリケーション コードに認証情報を指定します。[PATH] は、サービス アカウント キーが含まれる JSON ファイルのファイルパスに置き換えます。この変数は現在のシェル セッションにのみ適用されるため、新しいセッションを開く場合は、変数を再度設定します。

Linux または macOS

export GOOGLE_APPLICATION_CREDENTIALS="[PATH]"

例:

export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/my-key.json"

Windows

PowerShell を使用する場合:

$env:GOOGLE_APPLICATION_CREDENTIALS="[PATH]"

例:

$env:GOOGLE_APPLICATION_CREDENTIALS="C:\Users\username\Downloads\my-key.json"

コマンド プロンプトを使用する場合:

set GOOGLE_APPLICATION_CREDENTIALS=[PATH]

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.

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"
	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


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.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

// Imports the Google Cloud client library

public class QuickstartSample {

  public static void main(String... args) throws Exception {
    // Your Google Cloud Platform project ID
    String projectId = System.getProperty("projectId");

    if (projectId == null) {
      System.err.println("Usage: QuickstartSample -DprojectId=YOUR_PROJECT_ID");
      return;
    }

    // Instantiates a client
    MetricServiceClient metricServiceClient = MetricServiceClient.create();

    // Prepares an individual data point
    TimeInterval interval =
        TimeInterval.newBuilder()
            .setEndTime(Timestamps.fromMillis(System.currentTimeMillis()))
            .build();
    TypedValue value = TypedValue.newBuilder().setDoubleValue(3.14).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/my_metric")
            .putAllLabels(metricLabels)
            .build();

    // Prepares the monitored resource descriptor
    Map<String, String> resourceLabels = new HashMap<String, String>();
    resourceLabels.put("instance_id", "1234567890123456789");
    resourceLabels.put("zone", "us-central1-f");
    MonitoredResource resource =
        MonitoredResource.newBuilder().setType("gce_instance").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");

    metricServiceClient.close();
  }
}

Node.js

// 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 || '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

# 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

from google.cloud import monitoring_v3

import time

client = monitoring_v3.MetricServiceClient()
project = 'my-project'  # TODO: Update to your project ID.
project_name = client.project_path(project)

series = monitoring_v3.types.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'
point = series.points.add()
point.value.double_value = 3.14
now = time.time()
point.interval.end_time.seconds = int(now)
point.interval.end_time.nanos = int(
    (now - point.interval.end_time.seconds) * 10**9)
client.create_time_series(project_name, [series])
print('Successfully wrote time series.')

Ruby

# 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