Hello Everyone! 💛 When I first started learning Node JS, the words "blocking," "non-blocking" and "async" just blended together. We all hear that Node is "single-threaded." It has one main Call Stack. If it can only execute one piece of code at a time, how does it handle thousands of concurrent users without falling over or crash? 1. Blocking (The Bottleneck) This is exactly what it sounds like. If you run a heavy synchronous task—like reading a massive file or doing intense CPU math, the main thread stops. The Reality: While that file is reading, no other user can use your app. Your API is frozen. Everyone else is just watching a loading spinner. 2. Non-blocking (The Offload) This is when you run a heavy task (like a database query), but Node refuses to wait for it. The Reality: Node triggers the task, immediately steps away and executes the very next line of code. It keeps the main thread clear so other users can still hit your API. 3. Async (The Background Work) If Node didn't wait for the database query, how do we get our data? This is the asynchronous architecture. The Reality: Node handed that heavy database query off to the background (the OS/libuv). While the background is working, Node is busy serving other users. When the background is finished, it pushes a message to the Event Loop: "Hey, here is that data you asked for." Your code then picks it up via a Promise or callback. Node JS isn't fast because it handles heavy computations well. It's fast because it aggressively delegates waiting (I/O tasks) to the background and never lets the main thread sit idle. #Nodejs #javascript #backend #softwareengineering #webdev #TechTalk
Nice 👍
Great 👏
I like the effort, but you should have also taken into account the traffic and request rates to the API. Like I always wonder how many instances of our server-code (API program) run on the server computer (the computer hardware, placed somewhere in the world). Does one server computer run single instance of our server program? the software that we write? How many users can a single instance handle at the same time? Do not forget the share the answers with me if you ever find them :D