Introducción a Node.js
Introducción Node.js
Instalación y configuración del entorno de Node.js
Primer proyecto con Node.js
Quiz: Introducción a Node.js
Módulos y gestión de paquetes
Tipos de Módulos en Node.js
Gestión de Paquetes con NPM
Creación de un Paquetes con NPM
Publicación de Paquetes con NPM
Quiz: Módulos y gestión de paquetes
Módulos nativos en Node.js
Introducción al Módulo FS de Node.js
Leer y escribir archivos en Node.js
Módulo fs: Implementar transcripción de audio con OpenAI
Módulo Console: info, warn, error, table
Módulo Console: group, assert, clear, trace
Módulo OS: información del sistema operativo en Node.js
Módulo Crypto: cifrado y seguridad en Node.js
Módulo Process: manejo de procesos en Node.js
Timers: setTimeout, setInterval en Node.js
Streams: manejo de datos en tiempo real en Node.js
Buffers: manipulación de datos binarios en Node.js
Quiz: Módulos nativos en Node.js
Servidores con Node.js
HTTP: fundamentos de servidores en Node.js
Servidor nativo y streaming de video en Node.js
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Understanding the operating system on which our application runs is critical to developing robust and efficient software. The Node.js OS module gives us access to valuable system information that can be crucial for monitoring, optimization and compatibility. Let's discover how to implement this module to obtain relevant data from the execution environment.
The OS module provides utilities and information related to the operating system where our application is running. To start using it, we must first import it into our project. We create a new file called OS.js
and include the module:
const os = require('os');
With this simple line, we already have access to all the functionalities offered by this module. To organize our code, we can create a function that shows the system information:
function showSystemInfo() { console.log("Operating system:", os.type()); console.log("Platform:", os.platform()); console.log("Architecture:", os.arch()); console.log("Operating system version:", os.release());}
showSystemInfo();
By running this code with node OS.js
, we will get basic information about our system. For example, on a MacBook, we might see something like:
Operating system: darwinPlatform: darwinArchitecture: arm64Operating system version: 24.3.
It is important to note that the results will vary depending on the operating system you are using. If you run the same code on Windows or Linux, you will see information corresponding to those systems.
The OS module allows us to access much more data about our system. We can extend our function to include:
function showSystemInfo() { console.log("Operating system:", os.type()); console.log("Platform:", os.platform()); console.log("Architecture:", os.arch()); console.log("Operating system version:", os.release()); console.log("Total memory:", os.totalmem()); console.log("Free memory:", os.freememem()); console.log("Available CPUs:", os.cpus().length); console.log("Home directory:", os.homedir()); console.log("Hostname:", os.hostname());}
This extended information provides us with valuable data such as:
The information we obtain through the OS module can be extremely useful in several scenarios:
We can create tools that monitor system resource usage and alert when certain thresholds are reached. For example:
function monitorResources() { const totalMemory = os.totalmem(); const freeMemory = os.freememem(); const usedMemoryPercentage = ((totalMemory - freeMemory) / totalMemory) * 100;
console.log(`Memory usage: ${usedMemoryPercentage.toFixed(2)}%`);
if (usedMemoryPercentage > 90) { console.log("Warning! Memory usage critical"); } }}
In Internet of Things devices, knowing the architecture and available resources is crucial to optimize performance:
function checkIoTCompatibility() { const cpus = os.cpus(); const architecture = os.arch(); const memory = os.totalmem() / (1024 * 1024 * 1024); // Convert to GB
console.log(`Devicewith ${cpus.length} cores, architecture ${architecture} and ${memory.toFixed(2)}GBof RAM`);
// Logic to determine what functionality to enable based on resources}
For data processing applications, it is important to know the available resources to optimize the workload:
function configureDataProcessing() { const availableCores = os.cpus().length; const recommendedWorkers = Math.max(1, availableCores - 1); // Leave one core free
console.log(`Configuringprocessing with ${recommendedWorkers} workers`);
// Configure the number of workers for parallel processing}
The Node.js OS module is a powerful tool that allows us to adapt our applications to the environment in which they run. Whether for monitoring, optimization or compatibility, knowing the operating system and its available resources helps us to create more efficient and robust software. Have you used this module in any of your projects? What other use cases can you think of? Share your experience in the comments.
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