Bibliotecas de clientes do Stackdriver Monitoring

Veja nesta página os primeiros passos para usar as novas bibliotecas de clientes do Google Cloud para a Stackdriver Monitoring API. Saiba mais sobre as bibliotecas de clientes das APIs do Cloud, incluindo as antigas, na Explicação sobre as bibliotecas de clientes.

Para informações sobre as bibliotecas de clientes mais antigas para a Stackdriver Monitoring API, consulte Bibliotecas de clientes da Stackdriver Monitoring API.

Instalar a biblioteca de cliente

C#

No Visual Studio 2013/2015, abra o Console do Gerenciador de Pacotes e execute este comando:
Install-Package Google.Cloud.Monitoring.V3 -Pre

Go

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

Java

Se você usa Maven, adicione este código ao arquivo pom.xml:

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

Se você usa Gradle, adicione este código às dependências:

compile group: 'com.google.cloud', name: 'google-cloud-monitoring', version: ''

Node.js

npm install --save @google-cloud/monitoring

Python

pip install --upgrade google-cloud-monitoring

Ruby

gem install google-cloud-monitoring

Usar a biblioteca de cliente

Veja um exemplo de como usar a biblioteca de cliente. Para executá-la na sua estação de trabalho local, instale primeiro o Google Cloud SDK e faça a autenticação com o seguinte comando:

gcloud auth application-default login

Para informações sobre autenticação em outros ambientes, consulte o Guia de autenticação do Google Cloud Platform.

C#

Consulte README.md para ver as instruções sobre o uso do Visual Studio para criar e executar este código de amostra em C#. 
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/stores/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.");
        }
    }
}
Leia mais na Documentação de referência de APIs de C# para a biblioteca de cliente da Stackdriver Monitoring API.

Go

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

import (
	"fmt"
	"log"
	"time"

	// Imports the Stackdriver Monitoring client package.
	monitoring "cloud.google.com/go/monitoring/apiv3"
	googlepb "github.com/golang/protobuf/ptypes/timestamp"
	"golang.org/x/net/context"
	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)
	}

	fmt.Printf("Done writing time series data.\n")
}
Leia mais na documentação de referência de APIs de Go para a biblioteca de cliente da Stackdriver Monitoring API.

Java

import com.google.api.Metric;
import com.google.api.MonitoredResource;

// Imports the Google Cloud client library
import com.google.cloud.monitoring.spi.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;

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.create(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()
        .setNameWithProjectName(name)
        .addAllTimeSeries(timeSeriesList)
        .build();

    // Writes time series data
    metricServiceClient.createTimeSeries(request);

    System.out.printf("Done writing time series data.%n");

    metricServiceClient.close();
  }
}
Leia mais na documentação de referência de APIs de Java para a biblioteca de cliente da Stackdriver Monitoring API.

Node.js

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

// Your Google Cloud Platform project ID
const projectId = 'YOUR_PROJECT_ID';

// Instantiates a client
const client = Monitoring.v3().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
client.createTimeSeries(request)
  .then((results) => {
    console.log(`Done writing time series data.`);
  });
Leia mais na documentação de referência de APIs de Node.js para a biblioteca de cliente da Stackdriver Monitoring API.

Python

from google.cloud import monitoring

client = monitoring.Client()

resource = client.resource(
    type_='gce_instance',
    labels={
        'instance_id': '1234567890123456789',
        'zone': 'us-central1-f',
    }
)

metric = client.metric(
    type_='custom.googleapis.com/my_metric',
    labels={}
)

# Default arguments use endtime datetime.utcnow()
client.write_point(metric, resource, 3.14)
print('Successfully wrote time series.')
Leia mais na documentação de referência de APIs de Python para a biblioteca de cliente da Stackdriver Monitoring API.

Recursos adicionais