NestJS OpenTelemetry (OTEL)

Description

OpenTelemetry module for Nest.

Questions

For questions and support please use the official Discord channel.

Why

Setting up observability metrics with nestjs requires multiple libraries and patterns. OpenTelemetry has support for multiple exporters and types of metrics such as Prometheus Metrics.

Observability

Please read this comprehensive whitepaper if that's your first time working with metrics, tracing, and logs.

Examples

A full working examples are available. This includes a nestjs application fully integrated with prometheus, grafana, loki and tempo:

• nestjs-otel-prom-grafana-tempo

Installation

npm i nestjs-otel @opentelemetry/sdk-node --save

Setup

Some peers dependencies are required when some configurations are enabled.

@opentelemetry/exporter-prometheus

1. Create tracing file (tracing.ts):

import {
  CompositePropagator,
  W3CTraceContextPropagator,
  W3CBaggagePropagator,
} from '@opentelemetry/core';
import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base';
import { JaegerExporter } from '@opentelemetry/exporter-jaeger';
import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node';
import { JaegerPropagator } from '@opentelemetry/propagator-jaeger';
import { B3InjectEncoding, B3Propagator } from '@opentelemetry/propagator-b3';
import { PrometheusExporter } from '@opentelemetry/exporter-prometheus';
import { NodeSDK } from '@opentelemetry/sdk-node';
import { AsyncLocalStorageContextManager } from '@opentelemetry/context-async-hooks';
import * as process from 'process';

const otelSDK = new NodeSDK({
  metricReader: new PrometheusExporter({
    port: 8081,
  }),
  spanProcessor: new BatchSpanProcessor(new JaegerExporter()),
  contextManager: new AsyncLocalStorageContextManager(),
  textMapPropagator: new CompositePropagator({
    propagators: [
      new JaegerPropagator(),
      new W3CTraceContextPropagator(),
      new W3CBaggagePropagator(),
      new B3Propagator(),
      new B3Propagator({
        injectEncoding: B3InjectEncoding.MULTI_HEADER,
      }),
    ],
  }),
  instrumentations: [getNodeAutoInstrumentations()],
});

export default otelSDK;

// You can also use the shutdown method to gracefully shut down the SDK before process shutdown
// or on some operating system signal.
process.on('SIGTERM', () => {
  otelSDK
    .shutdown()
    .then(
      () => console.log('SDK shut down successfully'),
      err => console.log('Error shutting down SDK', err)
    )
    .finally(() => process.exit(0));
});

2. Import the metric file and start otel node SDK:

import otelSDK from './tracing';
import { NestFactory } from '@nestjs/core';
import { AppModule } from './app.module';
import { Logger } from 'nestjs-pino';

async function bootstrap() {
  // Start SDK before nestjs factory create
  await otelSDK.start();

  const app = await NestFactory.create(AppModule);
  app.useLogger(app.get(Logger));
  await app.listen(3000);
}
bootstrap();

3. Configure nest-otel:

const OpenTelemetryModuleConfig = OpenTelemetryModule.forRoot({
  metrics: {
    hostMetrics: true, // Includes Host Metrics
    apiMetrics: {
      enable: true, // Includes api metrics
      defaultAttributes: {
        // You can set default labels for api metrics
        custom: 'label',
      },
      ignoreRoutes: ['/favicon.ico'], // You can ignore specific routes (See https://docs.nestjs.com/middleware#excluding-routes for options)
      ignoreUndefinedRoutes: false, //Records metrics for all URLs, even undefined ones
      prefix: 'my_prefix', // Add a custom prefix to all API metrics
    },
  },
});

@Module({
  imports: [OpenTelemetryModuleConfig],
})
export class AppModule {}

Span Decorator

If you need, you can define a custom Tracing Span for a method. It works async or sync. Span takes its name from the parameter; but by default, it is the same as the method's name

import { Span } from 'nestjs-otel';

@Span('CRITICAL_SECTION')
async getBooks() {
    return [`Harry Potter and the Philosopher's Stone`];
}

Tracing Service

In case you need to access native span methods for special logics in the method block:

import { TraceService } from 'nestjs-otel';

@Injectable()
export class BookService {
  constructor(private readonly traceService: TraceService) {}

  @Span()
  async getBooks() {
    const currentSpan = this.traceService.getSpan(); // --> retrives current span, comes from http or @Span
    await this.doSomething();
    currentSpan.addEvent('event 1');
    currentSpan.end(); // current span end

    const span = this.traceService.startSpan('sub_span'); // start new span
    span.setAttributes({ userId: 1 });
    await this.doSomethingElse();
    span.end(); // new span ends
    return [`Harry Potter and the Philosopher's Stone`];
  }
}

Metric Service

OpenTelemetry Metrics allow a user to collect data and export it to metrics backend like Prometheus.

import { MetricService } from 'nestjs-otel';
import { Counter } from '@opentelemetry/api';

@Injectable()
export class BookService {
  private customMetricCounter: Counter;

  constructor(private readonly metricService: MetricService) {
    this.customMetricCounter = this.metricService.getCounter('custom_counter', {
      description: 'Description for counter',
    });
  }

  async getBooks() {
    this.customMetricCounter.add(1);
    return [`Harry Potter and the Philosopher's Stone`];
  }
}

Metric Decorators

Metric Class Instances

If you want to count how many instance of a specific class has been created:

@OtelInstanceCounter() // It will generate a counter called: app_MyClass_instances_total.
export class MyClass {}

Metric Class Method

If you want to increment a counter on each call of a specific method:

@Injectable()
export class MyService {
  @OtelMethodCounter()
  doSomething() {}
}
@Controller()
export class AppController {
  @Get()
  @OtelMethodCounter() // It will generate `app_AppController_doSomething_calls_total` counter.
  doSomething() {
    // do your stuff
  }
}

Metric Param Decorator

You have the following decorators:

• @OtelCounter()
• @OtelUpDownCounter()
• @OtelHistogram()
• @OtelObservableGauge()
• @OtelObservableCounter()
• @OtelObservableUpDownCounter()

Example of usage:

import { OtelCounter } from 'nestjs-otel';
import { Counter } from '@opentelemetry/api';

@Controller()
export class AppController {
  @Get('/home')
  home(
    @OtelCounter('app_counter_1_inc', { description: 'counter 1 description' }) counter1: Counter
  ) {
    counter1.add(1);
  }
}

API Metrics with Middleware

Impl	Otel Metric	Prometheus Metric	Description	Metric Type
✅	http.server.request.count	http_server_request_count_total	Total number of HTTP requests.	Counter
✅	http.server.response.count	http_server_response_count_total	Total number of HTTP responses.	Counter
✅	http.server.abort.count	http_server_abort_count_total	Total number of data transfers aborted.	Counter
✅	http.server.duration	http_server_duration	The duration of the inbound HTTP request.	Histogram
✅	http.server.request.size	http_server_request_size	Size of incoming bytes.	Histogram
✅	http.server.response.size	http_server_response_size	Size of outgoing bytes.	Histogram
✅	http.server.response.success.count	http_server_response_success_count_total	Total number of all successful responses.	Counter
✅	http.server.response.error.count	http_server_response_error_count_total	Total number of server error responses.	Counter
✅	http.client.request.error.count	http_client_request_error_count_total	Total number of client error requests.	Counter

Prometheus Metrics

When metricExporter is defined in otel SDK with a PrometheusExporterit will start a new process on port 8081 (default port) and metrics will be available at http://localhost:8081/metrics.

Using with a logger

Pino with instrumentation

This approach uses otel instrumentation to automatically inject spanId and traceId.

import { PinoInstrumentation } from '@opentelemetry/instrumentation-pino';

const otelSDK = new NodeSDK({
  instrumentations: [new PinoInstrumentation()],
});

Pino with custom formatter

This approach uses the global trace context for injecting SpanId and traceId as a property of your structured log.

import Pino, { Logger } from 'pino';
import { LoggerOptions } from 'pino';
import { trace, context } from '@opentelemetry/api';

export const loggerOptions: LoggerOptions = {
  formatters: {
    log(object) {
      const span = trace.getSpan(context.active());
      if (!span) return { ...object };
      const { spanId, traceId } = trace.getSpan(context.active())?.spanContext();
      return { ...object, spanId, traceId };
    },
  },
};

export const logger: Logger = Pino(loggerOptions);

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