How to use NodeJS?
NodeJS has been a popular choice for startups as it allows developers to prototype rapidly. It allows you to write the entire project in a single language. By following this method, you can get a simple MVP built by a full JavaScript developer. If you intend to develop a real-time app, SPA, or app that requires frequent data updates, you should consider using this framework.NodeJS also shines with data-intensive IoT applications, scalable microservices, and video streaming services.
Who uses NodeJS?
In 85% of cases, NodeJS is used by startups and business giants for web application development. Few successful projects built with NodeJS from the start, like Trello, and those that switched to NodeJS after trying other solutions, like LinkedIn. The super popular examples of NodeJS applications include Netflix, Uber, Ebay, GoDaddy, Twitter, and PayPal.
Is NodeJS reliable?
NodeJS is only as reliable as the code which is written using it. You can reuse the code which is written by others and available in the NodeJS ecosystem. It can be tough to detect a vulnerability when your project contains code from hundreds of packages. The good news is that since 2018, the Node Security Platform has been integrated directly into the npm library and launches security audits for each new module added. Either way, we recommend using the updated maintainable frameworks versions and modules for better security, digging deep into code package dependencies, and studying licensing information carefully.
What is NodeJS not suitable for?
Being a single-threaded programming environment, NodeJS is not suitable for performing long-running calculations. Since all incoming requests are processed one at a time, a heavy computational task can block the incoming requests which can lead to a decrease in performance. NodeJs is perfect for complicated applications. To deal with this drawback, NodeJS offers a Worker Pool that summons a few separate threads to execute expensive tasks. However, in the case of software which requires resource-intensive calculations or some heavy computing, it is better to use other languages (such asJava) for its backend.