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

18

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

20

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

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Implementing efficient logging is crucial to optimize the performance of Node.js applications. Pino is a reliable and recommended solution that allows you to easily configure logs in both development and production environments, with minimal impact on software performance.

Why is it important to optimize log messages?

Uncontrolled use of console log messages can seriously affect performance, especially if the application handles high traffic. Each log operation temporarily blocks the Event Loop, impairing the responsiveness of the system.

What are the advantages of using Pino for logging in Node.js?

Pino stands out for being highly optimized, flexible and maintaining a simple API. Some of its most relevant advantages include:

  • Lower performance impact compared to other tools(Bunyan, Winston).
  • Differentiated configuration according to the environment (development and production).
  • Support for sending logs in various formats (stylized console, files, integration with external services).

How to configure Pino for development?

In development, visibility and clarity are key. A recommended configuration includes:

  • Detailed level as debug.
  • Use oftransport with pino pretty for clear and readable output.

Example configuration:

const developmentConfig  =  {  level: 'debug',  transport:  {    target: 'pino-pretty',    options: {      colorize: true,      ignore: 'pid,hostname',      translateTime: 'HH:MM:ss',      levelFirst: true     }   } }};

How to configure Pino in production?

The configuration in production should optimize resources and allow easy collection:

  • More restricted level (e.g. info).
  • Logs directed to file with additional relevant information (PID, hostname, full date and timezone).

Example configuration in production:

const productionConfig  =  {  level: 'info',  transport:  {    target: 'pine/file',    options:  { destination: 'app.log' }   },  timestamp:  ()  =>  `, "time":"${new Date().toISOString()}"`};

How to integrate both configurations in your application?

The recommended way to integrate is to determine the environment by variables and apply the appropriate configuration:

const  pino  = require('pino');const isProduction  = process.env.NODE_ENV  === 'production';const logger  =  pino(isProduction ? productionConfig : developmentConfig);

Once configured, replace console.log with the functions provided by Pino:

logger.debug({ message: 'Performing operation', counter:  k  });logger.info('Informational message');logger.error('Error message');

Which services do you recommend to collect logs in production?

For production, it is advisable to complement with specialized external services that facilitate monitoring and analysis:

  • Splunk
  • Papertrail

These systems allow easy integration and ensure effective access to key logs to diagnose and resolve problems.

With these guidelines you can considerably improve log management, which will help you quickly detect and resolve any errors in your application.

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