Node.js has become a popular choice for building scalable and high-performance web applications due to its non-blocking, event-driven architecture. However, when handling a large amount of data and traffic, developers might face some challenges. In this article, we will discuss various strategies to efficiently manage and scale a Node.js application to handle a high volume of data and traffic.
Node.js is a powerful runtime environment that allows developers to build high-performance web applications. However, as the size and complexity of an application increases, it’s essential to keep an eye on its performance. In this article, we’ll explore some techniques for improving the performance of a Node.js application.
Node.js is one of the most popular programming languages used on the web nowadays. It’s single core design has lots of positives, but sometimes can be a little challenging – especially when it comes to passing the context between asynchronous invocations. It seems not to be such a problem anymore, though. Developers can use AsyncLocalStorage in Node.js to overcome long lasting problems. Let’s dive in to check how to do that.