Patrones de dise帽o en Node.js
Qu茅 es Node.js y c贸mo impulsa tu negocio
Patrones de dise帽o esenciales en Node.js
Patr贸n Singleton y Factory en JavaScript
Implementaci贸n pr谩ctica de Singleton y Factory en JavaScript
Implementaci贸n del patr贸n Observer con EventEmitter en Node.js
Implementaci贸n de Middlewares en Node.js sin Express
Decorators e inyecci贸n de dependencias en JavaScript
Flujo de Datos con Node.js
Aprende qu茅 son Buffer y Streams en Node.js
C贸mo utilizar streams y pipelines en Node.js
C贸mo funciona el Event Loop en Node.js
Qu茅 es Libuv y c贸mo maneja la asincron铆a en Node.js
Estrategias para ejecutar c贸digo as铆ncrono en Node.js
Debugging y Diagn贸stico en Node.js
C贸mo utilizar el Debugger en Node.js para solucionar problemas
Uso de Diagnostic Channels en Node.js para observabilidad y diagn贸stico
Instrumentaci贸n y m茅tricas clave en performance para aplicaciones Node.js
Control de errores globales y manejo de se帽ales en Node.js
Implementaci贸n Eficiente de Logs con Pino en Node.js
Performance en Node.js
An谩lisis del event loop en aplicaciones Node.js usando Nsolid
C贸mo Diagnosticar y Solucionar Memory Leaks en Aplicaciones Node.js
Optimizar rendimiento en Node.js con Worker Threads y Child Processes
Optimiza y Escala Aplicaciones Node.js con T茅cnicas de Caching
Creando CLIs con Node.js
C贸mo crear aplicaciones CLI con Node.js
C贸mo Crear un CLI con Minimist y Manejar Argumentos en Node.js
Creaci贸n de un CLI con Node.js y Google Generative AI
Creaci贸n de Chat con IA usando CLI en Node
C贸mo Crear e Instalar tu Propio CLI de Node con npm
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Exploring effective methods to diagnose and monitor Node.js applications is fundamental in today's programming. Diagnostic Channels are a powerful tool within the Node.jscore that allows you to broadcast and listen to relevant events in the code, thus facilitating observability without compromising application performance.
Diagnostic Channels is a specific implementation in Node.js that provides optimized channels to diagnose and monitor important events in the code. Although similar in operation to the traditional Event Emitter, it has a significant advantage: it is optimized through the use of AsyncLocalStorage, thus reducing the impact on the Event Loop. This means greater efficiency in code execution without sacrificing performance.
The implementation of Diagnostic Channels is simple and straightforward. First, a specific import is performed from the Node core:
const diagnostics = require('node:diagnostics_channel');
Then, you can create a specific channel to emit events:
const channel = diagnostics.channel('my_app');
To listen to events on this channel, subscribe using a specific function that manages the collected data:
function onMessage(message) { console.log(message);}diagnostics.subscribe('my_app', onMessage);
From there, check if any subscribers exist before issuing a message using hasSubscribers()
and then issue the event with publish()
:
if(channel.hasSubscribers()){ channel.publish('my message from my_app');}
Finally, it is good practice to remove subscriptions at the end of use to avoid memory leaks:
diagnostics.unsubscribe('my_app', onMessage);
As applications grow and become distributed and complex, it is essential to centralize diagnostic and error messages in one place. Diagnostic Channels does just that, significantly improving diagnostic capabilities:
Diagnostic Channels is a first step towards code instrumentation, a practice employed by many observability and APM tools in Node.js. These tools insert additional code into existing systems to monitor their behavior and proactively detect potential problems.
By correctly implementing Diagnostic Channels, you take an important step towards mastering advanced observability and diagnostic solutions in Node.js. Have you already tried this powerful tool in your projects?
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