Patrones de dise帽o en Node.js

1

Qu茅 es Node.js y c贸mo impulsa tu negocio

2

Patrones de dise帽o esenciales en Node.js

3

Patr贸n Singleton y Factory en JavaScript

4

Implementaci贸n pr谩ctica de Singleton y Factory en JavaScript

5

Implementaci贸n del patr贸n Observer con EventEmitter en Node.js

6

Implementaci贸n de Middlewares en Node.js sin Express

7

Decorators e inyecci贸n de dependencias en JavaScript

Flujo de Datos con Node.js

8

Aprende qu茅 son Buffer y Streams en Node.js

9

C贸mo utilizar streams y pipelines en Node.js

10

C贸mo funciona el Event Loop en Node.js

11

Qu茅 es Libuv y c贸mo maneja la asincron铆a en Node.js

12

Estrategias para ejecutar c贸digo as铆ncrono en Node.js

Debugging y Diagn贸stico en Node.js

13

C贸mo utilizar el Debugger en Node.js para solucionar problemas

14

Uso de Diagnostic Channels en Node.js para observabilidad y diagn贸stico

15

Instrumentaci贸n y m茅tricas clave en performance para aplicaciones Node.js

16

Control de errores globales y manejo de se帽ales en Node.js

17

Implementaci贸n Eficiente de Logs con Pino en Node.js

Performance en Node.js

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An谩lisis del event loop en aplicaciones Node.js usando Nsolid

19

C贸mo Diagnosticar y Solucionar Memory Leaks en Aplicaciones Node.js

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Optimizar rendimiento en Node.js con Worker Threads y Child Processes

21

Optimiza y Escala Aplicaciones Node.js con T茅cnicas de Caching

Creando CLIs con Node.js

22

C贸mo crear aplicaciones CLI con Node.js

23

C贸mo Crear un CLI con Minimist y Manejar Argumentos en Node.js

24

Creaci贸n de un CLI con Node.js y Google Generative AI

25

Creaci贸n de Chat con IA usando CLI en Node

26

C贸mo Crear e Instalar tu Propio CLI de Node con npm

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An谩lisis del event loop en aplicaciones Node.js usando Nsolid

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Resources

Mastering performance analysis in Node.js applications is key to optimizing applications and ensuring a good user experience. Using the N Solid tool, you can easily identify event loop crashes, measure performance and evaluate your application's essential metrics. Learn how to use the Express framework, run performance tests with Autocannon and use deadlock avoidance techniques using functions such as setImmediate.

What is Nsolid and how does it help analyze Node.js metrics?

Nsolid is a free, open source tool that allows you to analyze Node.js processes using detailed performance metrics. This service offers observability for up to four concurrent processes. To start using it:

  • Access the accounts.nodesource.com page.
  • Log in with a Google, GitHub or other email account.
  • Use the N Solid SAS token to connect your process to the observability platform.

This platform clearly displays key metrics such as CPU usage, Event Loop status and Heap memory used.

How to test the Event Loop lock?

To examine and understand these locks, create a simple application with Express that handles two types of endpoints:

Simple endpoint (non-blocking, fast):

  • Responds fast without executing heavy tasks.

Blocking endpoint:

  • Processes a large file synchronously causing blocking.

Running both endpoints allows to clearly observe, using tools such as Autocannon, the difference in performance caused by Event Loop blocking.

How to reduce Event Loop deadlocks with setImmediate?

Break a large process into small tasks using setImmediate. This technique allows a heavy task to run in small portions that do not completely block the Event Loop. For example, set your heavy task as follows:

const processChunks = () => { const end = Math.min(index + chunkSize, largeFile.length); while(index < end) { results.push(largeFile[index]); index++; } if(index < largeFile.length){ setImmediate(processChunks); } else { res.send(`${results.length} items processed`);} };processChunks();

What are the benefits of avoiding deadlocks in the Event Loop?

Avoiding Event Loop saturation allows more simultaneous requests to be handled efficiently. When running tests with Autocannon, a large performance improvement is demonstrated for fast endpoints when blocking tasks are reduced. This ensures your users a better experience and guarantees a more optimal use of computational resources.

Have you already performed performance analysis on your Node.js projects? Share your experience or doubts in the comments.

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