@brokerize/telemetry v1.0.0

@brokerize/telemetry

A TypeScript package for integrating metrics and tracing into your applications, leveraging OpenTelemetry for standardized observability.

Overview

The @brokerize/telemetry package provides tools to monitor application performance and behavior through metrics (for numerical data like counters, gauges, histograms, and summaries) and tracing (for tracking request flows across distributed systems). It simplifies instrumentation with annotation-based and manual approaches, making it easy to integrate into existing TypeScript projects.

Getting Started

Installation

Install the package via npm:

npm install @brokerize/telemetry

Initialization

Before using metrics or tracing, initialize the OpenTelemetry instrumentation with the initInstrumentation function. This sets up the exporter for sending telemetry data to an OpenTelemetry collector.

import { initInstrumentation } from '@brokerize/telemetry';
import { HttpInstrumentation } from '@opentelemetry/instrumentation-http';

initInstrumentation({
    serviceName: 'my-service',
    url: 'http://your-otel-collector:4318/v1/traces',
    localDebugging: false,
    instrumentations: [new HttpInstrumentation()]
});

Note: Call initInstrumentation at the start of your application, e.g., in an instrumentation.ts file. See Initializing Instrumentation for more details.]

Key Features

Metrics

The Metrics class and metrics wrapper allow you to create and manage metrics such as counters, gauges, histograms, and summaries. Use annotations for automatic metric creation or manual methods for fine-grained control.

Example: Using Annotations

import { Metrics } from '@brokerize/telemetry';

class ExampleService {
    @Metrics.counter({
        metricName: 'http_requests_total',
        help: 'Total number of HTTP requests',
        labels: { method: 'GET' }
    })
    handleRequest() {
        // Implementation
    }
}

Example: Manual Metric Creation

import { metrics, MetricType } from '@brokerize/telemetry';

metrics.createMetric(MetricType.Counter, {
    name: 'http_requests_total',
    help: 'Total number of HTTP requests',
    labelNames: ['method', 'status']
});

metrics.incrementCounter('http_requests_total', { method: 'GET', status: '200' });

For detailed usage, see Metrics.

Tracing

The Traces class enables tracing of operations using OpenTelemetry spans. Use the @Trace annotation for automatic span creation or manual methods for custom tracing logic.

Example: Using Annotations

import { Traces } from '@brokerize/telemetry';

class ExampleService {
    @Traces.trace({
        spanName: 'fetch-data',
        attributes: { endpoint: '/api/data' }
    })
    async fetchData() {
        // Implementation
        return { status: 'success' };
    }
}

Example: Manual Tracing

import { Traces, SpanStatusCode } from '@brokerize/telemetry';

async function processRequest() {
    const { span, createdSpan } = Traces.getCurrentSpanOrCreateNew('process-request', {
        attributes: { operation: 'process' }
    });

    try {
        // Implementation
        Traces.setStatus({ code: SpanStatusCode.OK });
    } catch (error) {
        Traces.setStatus({ code: SpanStatusCode.ERROR, message: error.message });
        throw error;
    } finally {
        if (createdSpan) span.end();
    }
}

For detailed usage, see Tracing.

Documentation

• Metrics: Learn how to define and use metrics in Metrics.md.
• Tracing: Understand tracing and span management in Tracing.md.