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 the Google Cloud operations suite agents. 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

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

Java

For more information, see Setting Up a Java Development Environment. Si vous utilisez Maven, ajoutez les lignes suivantes à votre fichier pom.xml :
<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-monitoring</artifactId>
  <version>1.75.0</version>
</dependency>
Si vous utilisez Gradle, ajoutez les lignes suivantes à vos dépendances :
compile 'com.google.cloud:google-cloud-monitoring:1.75.0'
Si vous utilisez SBT, ajoutez les lignes suivantes à vos dépendances :
libraryDependencies += "com.google.cloud" % "google-cloud-monitoring" % "1.75.0"

Si vous utilisez IntelliJ ou Eclipse, vous pouvez ajouter des bibliothèques clientes à votre projet à l'aide des plug-ins IDE suivants :

Les plug-ins offrent des fonctionnalités supplémentaires, telles que la gestion des clés pour les comptes de service. Reportez-vous à la documentation de chaque plug-in pour plus de détails.

Node.js

For more information, see Setting Up a Node.js Development Environment.
npm install --save @google-cloud/monitoring

PHP

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.

Console GCP

  1. Dans la console GCP, accédez à la page Créer une clé de compte de service.

    Accéder à la page "Créer une clé de compte de service"
  2. Dans la liste Compte de service, sélectionnez Nouveau compte de service.
  3. Dans le champ Nom du compte de service, saisissez un nom.
  4. Dans la liste Rôle, sélectionnez Projet > Propriétaire.

    Remarque : Le champ Rôle autorise votre compte de service à accéder aux ressources. Vous pouvez afficher et modifier ce champ ultérieurement à l'aide de la console GCP. Si vous développez une application de production, spécifiez des autorisations plus précises que Projet > Propriétaire. Pour plus d'informations, consultez la page Attribuer des rôles aux comptes de service.
  5. Cliquez sur Créer. Un fichier JSON contenant votre clé est téléchargé sur votre ordinateur.

Ligne de commande

Vous pouvez exécuter les commandes suivantes à l'aide du SDK Cloud sur votre ordinateur local, ou dans Cloud Shell.

  1. Créez le compte de service. Remplacez [NAME] par le nom que vous souhaitez donner au compte de service.

    gcloud iam service-accounts create [NAME]
  2. Accordez des autorisations au compte de service. Remplacez [PROJECT_ID] par votre ID de projet.

    gcloud projects add-iam-policy-binding [PROJECT_ID] --member "serviceAccount:[NAME]@[PROJECT_ID].iam.gserviceaccount.com" --role "roles/owner"
    Remarque : Le champ Rôle autorise votre compte de service à accéder aux ressources. Vous pouvez afficher et modifier le champ ultérieurement à l'aide de la console GCP. Si vous développez une application de production, spécifiez des autorisations plus précises que Projet > Propriétaire. Pour plus d'informations, consultez la page Attribuer des rôles aux comptes de service.
  3. Générez le fichier de clé. Remplacez [FILE_NAME] par le nom du fichier de clé.

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

Fournissez des identifiants d'authentification au code de votre application en définissant la variable d'environnement GOOGLE_APPLICATION_CREDENTIALS. Remplacez [PATH] par le chemin du fichier JSON contenant la clé de votre compte de service et [FILE_NAME] par le nom du fichier. Cette variable ne s'applique qu'à la session de shell actuelle. Par conséquent, si vous ouvrez une nouvelle session, vous devez de nouveau la définir.

Linux ou macOS

export GOOGLE_APPLICATION_CREDENTIALS="[PATH]"

Exemple :

export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/[FILE_NAME].json"

Windows

Avec PowerShell :

$env:GOOGLE_APPLICATION_CREDENTIALS="[PATH]"

Exemple :

$env:GOOGLE_APPLICATION_CREDENTIALS="C:\Users\username\Downloads\[FILE_NAME].json"

Avec l'invite de commande :

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;

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. 
            Point dataPoint = new Point();
            TypedValue salesTotal = new TypedValue();
            salesTotal.DoubleValue = 123.45;
            dataPoint.Value = salesTotal;
            // Sets data point's interval end time to current time.
            Timestamp timeStamp = new Timestamp();
            DateTime UnixEpoch = new DateTime(1970, 1, 1, 0, 0, 0, DateTimeKind.Utc);
            timeStamp.Seconds = (long)(DateTime.UtcNow - UnixEpoch).TotalSeconds;
            TimeInterval interval = new TimeInterval();
            interval.EndTime = timeStamp;
            dataPoint.Interval = interval;

            // Prepare custom metric.
            Metric metric = new Metric();
            metric.Type = "custom.googleapis.com/shops/daily_sales";
            metric.Labels.Add("store_id", "Pittsburgh");

            // Prepare monitored resource.
            MonitoredResource resource = new MonitoredResource();
            resource.Type = "global";
            resource.Labels.Add("project_id", projectId);

            // Create a new time series using inputs.
            TimeSeries timeSeriesData = new TimeSeries();
            timeSeriesData.Metric = metric;
            timeSeriesData.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(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");

    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"

# Instantiates a client
metric_service_client = Google::Cloud::Monitoring::Metric.new
project_path = Google::Cloud::Monitoring::V3::MetricServiceClient.project_path project_id

series = Google::Monitoring::V3::TimeSeries.new
series.metric = Google::Api::Metric.new type: "custom.googleapis.com/my_metric"

resource = Google::Api::MonitoredResource.new type: "gce_instance"
resource.labels["instance_id"] = "1234567890123456789"
resource.labels["zone"] = "us-central1-f"
series.resource = resource

point = Google::Monitoring::V3::Point.new
point.value = Google::Monitoring::V3::TypedValue.new double_value: 3.14
now = Time.now
end_time = Google::Protobuf::Timestamp.new seconds: now.to_i, nanos: now.usec
point.interval = Google::Monitoring::V3::TimeInterval.new end_time: end_time
series.points << point

metric_service_client.create_time_series project_path, [series]

puts "Successfully wrote time series."

Additional resources