Usa SDKs para enviar métricas desde las aplicaciones

En este documento, se ilustra cómo puedes enviar métricas directamente desde las aplicaciones al extremo de OTLP con un SDK y el exportador de gRPC, que es el exportador recomendado para usar con los SDKs. El extremo de OTLP admite todos los protocolos de OTLP, incluidos http/proto, http/json y grpc. Para obtener más información, consulta Compatibilidad con los protocolos.

Cuando envías métricas de la aplicación directamente al extremo de OTLP, el recopilador de OpenTelemetry no controla la autenticación ni el enriquecimiento por ti. Cuando usas SDKs para enviar métricas desde aplicaciones, debes hacer lo siguiente:

  • Configurar las credenciales para que el exportador de gRPC de OTLP use las credenciales predeterminadas de la aplicación de Google , como se describe en Obtén credenciales de autenticación.
  • Detectar recursos de Kubernetes desde la aplicación Google Cloud La forma de hacerlo depende de la aplicación que ejecutes

Antes de comenzar

Para ejecutar los ejemplos, debes habilitar las APIs necesarias y obtener credenciales de autenticación.

Habilita las APIs

Para habilitar la API de Cloud Monitoring y la API de Telemetry en tu Google Cloud proyecto, ejecuta el siguiente comando:

gcloud services enable monitoring.googleapis.com telemetry.googleapis.com

Obtén credenciales de autenticación

Para configurar las credenciales para que el exportador de gRPC de OTLP use las credenciales predeterminadas de la aplicación de Google , ejecuta el siguiente comando:

gcloud auth application-default login

Ejemplos específicos del lenguaje

En esta sección, se proporciona una selección de muestras específicas del lenguaje que crean y escriben una métrica de contador. Selecciona una pestaña para obtener información sobre cómo ejecutar la muestra y ver el código.

Go

Si deseas obtener información para configurar y ejecutar este ejemplo, consulta el README archivo de la muestra de Go.

// Copyright 2024 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package main

import (
	"context"
	"errors"
	"log"

	"go.opentelemetry.io/contrib/detectors/gcp"
	"go.opentelemetry.io/otel/attribute"
	"go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetricgrpc"
	"go.opentelemetry.io/otel/metric"
	sdkmetric "go.opentelemetry.io/otel/sdk/metric"
	"go.opentelemetry.io/otel/sdk/resource"
	semconv "go.opentelemetry.io/otel/semconv/v1.37.0"
	"google.golang.org/grpc"
	"google.golang.org/grpc/credentials/oauth"
)

func main() {
	ctx := context.Background()

	creds, err := oauth.NewApplicationDefault(ctx)
	if err != nil {
		panic(err)
	}

	res, err := resource.New(
		ctx,
		// Use the GCP resource detector to detect information about the GCP platform
		resource.WithDetectors(gcp.NewDetector()),
		// Keep the default detectors
		resource.WithTelemetrySDK(),
		// Add attributes from environment variables
		resource.WithFromEnv(),
		// Add your own custom attributes to identify your application
		resource.WithAttributes(
			semconv.ServiceNameKey.String("example-application"),
		),
	)
	if errors.Is(err, resource.ErrPartialResource) || errors.Is(err, resource.ErrSchemaURLConflict) {
		log.Println(err)
	} else if err != nil {
		panic(err)
	}

	// Set endpoint with OTEL_EXPORTER_OTLP_ENDPOINT or OTEL_EXPORTER_OTLP_METRICS_ENDPOINT
	metricExporter, err := otlpmetricgrpc.New(ctx, otlpmetricgrpc.WithDialOption(grpc.WithPerRPCCredentials(creds)))
	if err != nil {
		panic(err)
	}

	meterProvider := sdkmetric.NewMeterProvider(
		sdkmetric.WithResource(res),
		sdkmetric.WithReader(sdkmetric.NewPeriodicReader(metricExporter)),
	)

	defer func() {
		if err = meterProvider.Shutdown(ctx); err != nil {
			log.Println(err)
		}
	}()

	meter := meterProvider.Meter("github.com/GoogleCloudPlatform/opentelemetry-operations-go/example/metric/otlpgrpc")

	// Register counter value
	counter, err := meter.Int64Counter("counter-a")
	if err != nil {
		log.Fatalf("Failed to create counter: %v", err)
	}
	clabels := []attribute.KeyValue{attribute.Key("key").String("value")}
	counter.Add(ctx, 100, metric.WithAttributes(clabels...))
}

Java

Si deseas obtener información para configurar y ejecutar este ejemplo, consulta el README archivo de la muestra de Java.

/*
 * Copyright 2025 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package com.google.cloud.opentelemetry.example.otlpmetric;

import com.google.auth.oauth2.GoogleCredentials;
import io.opentelemetry.api.metrics.LongCounter;
import io.opentelemetry.exporter.otlp.http.metrics.OtlpHttpMetricExporter;
import io.opentelemetry.exporter.otlp.metrics.OtlpGrpcMetricExporter;
import io.opentelemetry.sdk.OpenTelemetrySdk;
import io.opentelemetry.sdk.autoconfigure.AutoConfiguredOpenTelemetrySdk;
import io.opentelemetry.sdk.common.CompletableResultCode;
import io.opentelemetry.sdk.metrics.export.MetricExporter;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.Random;
import java.util.concurrent.TimeUnit;

public class OTLPMetricExample {
  private static final String INSTRUMENTATION_SCOPE_NAME = OTLPMetricExample.class.getName();
  private static final Random RANDOM = new Random();

  private static OpenTelemetrySdk openTelemetrySdk;

  private static OpenTelemetrySdk setupMetricExporter() throws IOException {
    GoogleCredentials credentials = GoogleCredentials.getApplicationDefault();

    // Update the SDK configured using environment variables and system properties
    // TODO: Replace this with the use of gcp-auth-extension
    AutoConfiguredOpenTelemetrySdk autoConfOTelSdk =
        AutoConfiguredOpenTelemetrySdk.builder()
            .addMetricExporterCustomizer(
                (exporter, configProperties) -> addAuthorizationHeaders(exporter, credentials))
            .build();
    return autoConfOTelSdk.getOpenTelemetrySdk();
  }

  // Modifies the metric exporter initially auto-configured using environment variables
  // This will invoke the header supplier function to compute the headers, which takes care of the
  // refresh.
  private static MetricExporter addAuthorizationHeaders(
      MetricExporter exporter, GoogleCredentials credentials) {
    if (exporter instanceof OtlpHttpMetricExporter) {
      return ((OtlpHttpMetricExporter) exporter)
          .toBuilder().setHeaders(() -> getRequiredHeaderMap(credentials)).build();
    } else if (exporter instanceof OtlpGrpcMetricExporter) {
      return ((OtlpGrpcMetricExporter) exporter)
          .toBuilder().setHeaders(() -> getRequiredHeaderMap(credentials)).build();
    }
    return exporter;
  }

  private static Map<String, String> getRequiredHeaderMap(GoogleCredentials credentials) {
    Map<String, String> gcpHeaders = new HashMap<>();
    try {
      credentials.refreshIfExpired();
    } catch (IOException e) {
      throw new RuntimeException(e);
    }
    gcpHeaders.put("Authorization", "Bearer " + credentials.getAccessToken().getTokenValue());
    String configuredQuotaProjectId = credentials.getQuotaProjectId();
    if (configuredQuotaProjectId != null && !configuredQuotaProjectId.isEmpty()) {
      gcpHeaders.put("x-goog-user-project", configuredQuotaProjectId);
    }
    return gcpHeaders;
  }

  private static void myUseCase() {
    LongCounter counter =
        openTelemetrySdk
            .getMeter(INSTRUMENTATION_SCOPE_NAME)
            .counterBuilder("example_counter")
            .setDescription("Processed jobs")
            .setUnit("1")
            .build();
    doWork(counter);
  }

  private static void doWork(LongCounter counter) {
    try {
      for (int i = 0; i < 10; i++) {
        counter.add(RANDOM.nextInt(100));
        Thread.sleep(RANDOM.nextInt(1000));
      }
    } catch (InterruptedException e) {
      throw new RuntimeException(e);
    }
  }

  public static void main(String[] args) throws IOException {
    // Configure the OpenTelemetry pipeline with CloudMetric exporter
    openTelemetrySdk = setupMetricExporter();

    // Application-specific logic
    myUseCase();

    // Flush all buffered metrics
    CompletableResultCode completableResultCode = openTelemetrySdk.getSdkMeterProvider().shutdown();
    // wait till export finishes
    completableResultCode.join(10000, TimeUnit.MILLISECONDS);
  }
}

NodeJS

Si deseas obtener información para configurar y ejecutar este ejemplo, consulta el README archivo de la muestra de NodeJS.

// Copyright 2025 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//      https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

import * as opentelemetry from '@opentelemetry/sdk-node';
import {AuthClient, GoogleAuth} from 'google-auth-library';
import {credentials} from '@grpc/grpc-js';
import {getResourceDetectors as getResourceDetectorsFromEnv} from '@opentelemetry/auto-instrumentations-node';
import {metrics, diag, DiagConsoleLogger} from '@opentelemetry/api';
import {OTLPMetricExporter} from '@opentelemetry/exporter-metrics-otlp-grpc';
import {PeriodicExportingMetricReader} from '@opentelemetry/sdk-metrics';

async function getAuthenticatedClient(): Promise<AuthClient> {
  const auth: GoogleAuth = new GoogleAuth({
    scopes: 'https://www.googleapis.com/auth/cloud-platform',
  });
  return await auth.getClient();
}

diag.setLogger(
  new DiagConsoleLogger(),
  opentelemetry.core.diagLogLevelFromString(
    opentelemetry.core.getStringFromEnv('OTEL_LOG_LEVEL'),
  ),
);

// App that exports metrics via gRPC with protobuf
async function main() {
  const authenticatedClient: AuthClient = await getAuthenticatedClient();

  const sdk = new opentelemetry.NodeSDK({
    metricReader: new PeriodicExportingMetricReader({
      // Export metrics every 10 seconds. 5 seconds is the smallest sample period allowed by
      // Cloud Monitoring.
      exportIntervalMillis: 10_000,
      exporter: new OTLPMetricExporter({
        credentials: credentials.combineChannelCredentials(
          credentials.createSsl(),
          credentials.createFromGoogleCredential(authenticatedClient),
        ),
      }),
    }),
    resourceDetectors: getResourceDetectorsFromEnv(),
  });
  sdk.start();

  // Create a meter
  const meter = metrics.getMeter('metrics-sample');

  // Create a counter instrument
  const counter = meter.createCounter('metric_name');
  // Record a measurement
  counter.add(10, {key: 'value'});

  // Wait for the metric to be exported
  await new Promise(resolve => {
    setTimeout(resolve, 11_000);
  });

  // Gracefully shut down the SDK to flush telemetry when the program exits
  process.on('SIGTERM', () => {
    sdk
      .shutdown()
      .then(() => diag.debug('OpenTelemetry SDK terminated'))
      .catch(error => diag.error('Error terminating OpenTelemetry SDK', error));
  });
}

main().catch(console.error);

Python

Si deseas obtener información para ejecutar este ejemplo, consulta el archivo README de la muestra de Python.README

#!/usr/bin/env python3
# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import time

import google.auth
import google.auth.transport.grpc
import google.auth.transport.requests
import grpc
from google.auth.transport.grpc import AuthMetadataPlugin
from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import (
    OTLPMetricExporter,
)
from opentelemetry.resourcedetector.gcp_resource_detector import GoogleCloudResourceDetector
from opentelemetry.sdk.resources import get_aggregated_resources
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader

"""
This is a sample script that exports OTLP metrics encoded as protobufs via gRPC. 
"""

credentials, project_id = google.auth.default()
request = google.auth.transport.requests.Request()
resource = get_aggregated_resources(
    [GoogleCloudResourceDetector(raise_on_error=True)]
)

auth_metadata_plugin = AuthMetadataPlugin(
    credentials=credentials, request=request
)
channel_creds = grpc.composite_channel_credentials(
    grpc.ssl_channel_credentials(),
    grpc.metadata_call_credentials(auth_metadata_plugin),
)

exporter = OTLPMetricExporter(credentials=channel_creds)
reader = PeriodicExportingMetricReader(exporter)
provider = MeterProvider(metric_readers=[reader],resource=resource)
meter = provider.get_meter("gcp.otlp.sample")
counter = meter.create_counter("sample.otlp.counter")


def do_work():
    counter.add(1)
    # do some work that the 'counter' will track
    print("doing some work...")


def do_work_repeatedly():
    try:
        while True:
            do_work()
            time.sleep(1)
    except KeyboardInterrupt:
        print("\nKeyboard Interrupt: Stopping work.")


do_work_repeatedly()

Usa la API de Downward para aplicaciones que se ejecutan como pods

Si ejecutas la aplicación como un pod en Kubernetes y no la envías a través del recopilador de OpenTelemetry, asegúrate de usar la API de Downward para establecer atributos de recursos de Kubernetes:

env:
- name: POD_NAME
  valueFrom:
    fieldRef:
      fieldPath: metadata.name
- name: NAMESPACE_NAME
  valueFrom:
    fieldRef:
      fieldPath: metadata.namespace
- name: CONTAINER_NAME
  value: my-container-name
- name: OTEL_RESOURCE_ATTRIBUTES
  value: k8s.pod.name=$(POD_NAME),k8s.namespace.name=$(NAMESPACE_NAME),k8s.container.name=$(CONTAINER_NAME)

¿Qué sigue?