Menggunakan SDK untuk mengirim metrik dari aplikasi

Dokumen ini mengilustrasikan cara mengirim metrik langsung dari aplikasi ke endpoint OTLP menggunakan SDK dan eksportir gRPC, yang merupakan eksportir yang direkomendasikan untuk digunakan dengan SDK. Endpoint OTLP mendukung semua protokol OTLP, termasuk http/proto, http/json, dan grpc. Untuk mengetahui informasi selengkapnya, lihat Dukungan protokol.

Saat Anda mengirim metrik aplikasi langsung ke endpoint OTLP, OpenTelemetry Collector tidak menangani autentikasi dan pengayaan untuk Anda. Saat menggunakan SDK untuk mengirim metrik dari aplikasi, Anda harus melakukan hal berikut:

Sebelum memulai

Untuk menjalankan contoh, Anda harus mengaktifkan API yang diperlukan dan mendapatkan kredensial autentikasi.

Mengaktifkan API

Aktifkan Cloud Monitoring API dan Telemetry API di Google Cloud project Anda dengan menjalankan perintah berikut:

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

Mendapatkan kredensial autentikasi

Konfigurasi kredensial untuk eksportir gRPC OTLP agar menggunakan Google Kredensial Default Aplikasi dengan menjalankan perintah berikut:

gcloud auth application-default login

Contoh khusus bahasa

Bagian ini menyediakan pilihan contoh khusus bahasa yang membuat dan menulis metrik penghitung. Pilih tab untuk mengetahui informasi tentang cara menjalankan contoh dan melihat kodenya.

Go

Untuk mengetahui informasi tentang cara mengonfigurasi dan menjalankan contoh ini, lihat file README untuk contoh Go.

// Copyright 2026 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-samples/golang/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

Untuk mengetahui informasi tentang cara mengonfigurasi dan menjalankan contoh ini, lihat file README untuk contoh Java.

/*
 * Copyright 2026 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.samples.otlpmetric;

import io.opentelemetry.api.metrics.LongCounter;
import io.opentelemetry.sdk.OpenTelemetrySdk;
import io.opentelemetry.sdk.autoconfigure.AutoConfiguredOpenTelemetrySdk;
import io.opentelemetry.sdk.common.CompletableResultCode;
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 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) {
    // Configure the OpenTelemetry pipeline with Auto configuration
    openTelemetrySdk = AutoConfiguredOpenTelemetrySdk.initialize().getOpenTelemetrySdk();

    // Application-specific logic
    myUseCase();

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

NodeJS

Untuk mengetahui informasi tentang cara mengonfigurasi dan menjalankan contoh ini, lihat fileREADME untuk contoh NodeJS.

// Copyright 2026 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({
    metricReaders: [
      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

Untuk mengetahui informasi tentang cara menjalankan contoh ini, lihat file README untuk contoh Python.

#!/usr/bin/env python3
# Copyright 2026 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

"""
Sample script exporting 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()

Menggunakan downward API untuk aplikasi yang berjalan sebagai pod

Jika Anda menjalankan aplikasi sebagai pod di Kubernetes dan tidak mengirim telemetri melalui OpenTelemetry Collector, pastikan untuk menggunakan downward API untuk menetapkan atribut resource 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)

Langkah berikutnya