Follow the steps below: Step 1 - Install Nodejs. These tools allow you to simulate a large number of concurrent users making requests to your server and measure the response time, throughput, and other performance metrics. In this post, we will see how to run and deploy NodeJS apps in production. To test the performance of the servers under load, you can use a load testing tool such as Apache JMeter or Siege. Let’s test the performance of the old vs. This allows the server to handle multiple requests simultaneously and take advantage of all available CPU cores. This allows the server to continue processing requests while the asynchronous operation is running.Ĭluster module: We use the cluster module to create a worker process for each CPU core. If it is, we return the cached response instead of generating a new response.Īsynchronous code: We use the setTimeout function to simulate an asynchronous operation that takes 1 second to complete. When a new request comes in, we first check if the response is already cached. The above code includes the following optimizations:Ĭaching using the node-cache module: We create a new instance of node-cache and use it to store responses for each request URL. You won’t notice anything as we still have to check how the performance has been improved in the updated server. Define a function to handle the requestĬonst handleRequest = (request, response) => `) Įnter fullscreen mode Exit fullscreen mode You can see the app.js in the root of the application's repo,Ĭonst numCPUs = require('os').cpus().length Ĭonst NodeCache = require( "node-cache" ) A sample Node.js repo to experiment and test the performance.By the end of this tutorial, you will have a comprehensive understanding of how to improve your Node.js app's performance and deliver a superior user experience. In this tutorial, we will explore some effective techniques for optimizing your Node.js app's performance, from analyzing performance metrics to implementing caching strategies and utilizing other best practices. To maximize the potential of your Node.js app and ensure that it can handle high levels of traffic without faltering, it's essential to optimize its performance. However, even with its inherent strengths, poorly optimized Node.js applications can suffer from performance bottlenecks, resulting in slow load times, unresponsive servers, and increased operating costs. Node.js is a popular runtime environment for building fast, scalable, and efficient web applications.
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