What is Node.Js?
- a.k.a. server-side solution for JS
- Compiles JS, making it really fast
- Runs over the command line
- Designed for high concurrency
- Without threads or new processes
- Never blocks, not even for I/O
- Uses the CommonJs framework
- Making it a little closer to a real object-oriented language
- Non Blocking I/O
- Single Thread with Event Loop
- 40,025 modules
- Windows, Linux, Mac
- 1 Language for Frontend and Backend
- Active community
Concurrency: The Event Loop
- Instead of threads Node uses
an event loop with a stack
- Alleviates overhead of context switching
Thread Vs. Event Driven
- Thread lock application/request with listener-workers threads, Whereas in event-driven its only one thread, which repeatedly fetches an event.
- Thread uses the incoming-request model, Whereas event uses a queue and then processes it.
- In a thread, it uses a multithreaded server that might block the request which might involve multiple events, Whereas in event-driven it manually saves the state and then goes on to process the next event.
- Thread using context switching, Whereas in the event there is no contention and no context switches.
- Thread using multithreading environments where listener and workers threads are used frequently to take an incoming-request lock, Whereas event is using asynchronous I/O facilities (callbacks, not poll/select or O_NONBLOCK) environments.
NodeJs Vs Apache
- It’s fast
- It can handle tons of concurrent requests
(Same code server side and client side)
When to use it?
- Real-time Applications
- Intelligent Proxies
- High Concurrency Applications
- Communication Hubs
- Web application
- Websocket server
- Ad server
- Proxy server
- Streaming server
- Fast file upload client
- Any Real-time data apps
- Anything with high I/O
- And many more …
Exploring the Many Uses of Node.js
Data Processing and Analysis
Another great use case for Node.js is data processing and analysis since its asynchronous nature allows it to easily process multiple requests simultaneously without blocking other requests from being processed in the meantime. This makes it ideal for tasks such as analyzing large datasets or streaming media files, which require fast response times to be effective. Additionally, because Node.js is lightweight and efficient, it can easily be used for running computationally intensive tasks such as machine learning algorithms or natural language processing models without compromising performance or scalability.
Node.js is also well suited for developing APIs due to its ability to handle multiple concurrent requests while preserving low latency, making it perfect for tasks such as real-time messaging or providing access to external services like databases or other APIs via RESTful endpoints. Additionally, because of its asynchronous nature, developers can build highly performant APIs that are able to scale easily and handle large amounts of data without sacrificing performance or reliability, making it ideal for powering modern web services that need to support a high volume of traffic while responding quickly and reliably every time they are accessed by users across the globe.
Node js offers developers a powerful toolkit that allows them to build robust web applications with minimal effort while also providing efficient ways of processing data and creating APIs with low latency and high scalability, making it an invaluable part of any modern development stack. Whether you’re building a social network or a real-time messaging service, you can be sure that Node js will provide you with the tools you need to get the job done quickly and efficiently.