Making Node.js applications quick and sturdy is a tricky task to get right. Nailing the performance just right with the V8 engine Node.js is built on is not at all as simple as one would think. JavaScript is a dynamically typed language, where you let the interpreter assign types to variables. If you’re not careful this can lead to memory leaks.
What is the most important feature your Node.js application can have? Do you think it’s having fancy fuzzy logic for your full-text search, or maybe using sockets for real-time chats? You tell me. What’s the fanciest, most amazing and sexy feature you can add to your Node.js application?
Node.js monitoring is a tricky task. There are certain challenges to look out for. Because Node.js is a dynamically typed programming language and single-threaded you give the interpreter and runtime a lot of freedom to make decisions. This can easily result in memory leaks and high CPU loads. Parallel execution is simulated in Node.js by using asynchronous execution of functions. But, if a single function blocks the thread or event queue, the application performance will take a huge hit.
In the last decade, Node.js has rapidly risen in popularity as a server-side programming language. With that popularity, we’ve seen no shortage of frameworks aiming to make developers’ lives easier. Although they are lesser-known than other Node.js frameworks, Hapi, Sails, and Restify are a few options that have a lot to offer.
The increasing numbers of business are switching to e-commerce business to sell their products. As of now, there are more than 7,500,000 online stores operating around the world. Naturally, every online retailer is always in the lookout for the best possible ways to outlive their competition. E-commerce businesses cannot compromise on the performance, speed, usability, and scalability of their websites and this is why they need to choose the appropriate technologies diligently.
Learning to build webapps is an exciting process, but it comes with its own set of challenges. As a newer developer, deciding what programming language will bring your big idea to life is a common challenge. There are lots of terrific choices for building webapps on the market. Today, we’ll focus on two of 2019’s most popular options: Node.js vs Python.
As you probably know, source maps allow you to view source code context obtained from stack traces in their original, untransformed form. This view is particularly useful when attempting to debug minified code (like UglifyJS) or transpiled code (like TypeScript or ES6). We’ve made the analogy before, but source maps act as the decoder ring to your secret (minified or transpiled) code.
The MEAN stack has become an increasingly popular choice for developing dynamic applications. Similar to other development stacks like LAMP and Ruby on Rails, MEAN bundles together complementary technologies to provide a ready-made framework for developing and serving applications.
We know Node.js for its lightning-fast performance. Yet, as with any language, you can write Node.js code that performs worse for your users than you’d like. To combat this, we need adequate performance testing. Today, we will cover just that with an in-depth look at how to set up and run a performance test and analyze the results so you can make lightning-fast Node.js applications.
Both Node.js and PHP are popular platforms for websites, APIs, and other types of web content. They have a few similarities, but their differences far outweigh those similarities. In this post, we’ll take a look at how they stack up against each other. It’s Node.js vs. PHP… let’s get ready for the showdown!
