Node.js is single-threaded for your JavaScript code, but under the hood it uses multiple threads via libuv for I/O operations. The single thread refers to the Event Loop thread — the one that runs your JS code.
Node.js runs on the Google V8 JavaScript engine. JavaScript itself was originally designed to run in browsers to handle simple interactions (like button clicks). For these tasks, a single thread was safer because it avoided the complexity of multiple threads trying to change the same piece of UI at the same time. Node.js adopted this same single-threaded model for the Main Thread.
Each thread consumes ~2MB of memory, 10,000 concurrent users = ~20GB RAM just for threads
Context switching between threads is expensive
Race conditions, deadlocks, mutex locks — complex bugs
Most thread time is spent waiting (I/O), not computing
Most thread time is spent waiting (I/O), not computing.
Single thread saves memory.
Avoid bugs arising from handling multiple threads and race consitions, deadlocks etc.
I/O is delegated to libuv which may use multiple threads.
Node.js is single-threaded to minimize complexity and maximize scalability for I/O-bound applications (like APIs, chat apps, and streaming). It relies on the 'Event Loop' to delegate heavy lifting elsewhere so the main thread stays free to receive new orders.
While the Main Thread (where your JavaScript code runs) is single-threaded, Node.js actually uses a library called Libuv under the hood. Libuv maintains a Thread Pool (usually 4 threads by default). When you perform 'heavy' tasks that the system kernel can't handle asynchronously—like encrypting a password (crypto) or compressing a file (zlib)—Node.js offloads those to this hidden pool of threads.
If you write a CPU‑intensive loop in a Node.js request handler, what will happen to other incoming requests?
How would you modify a simple file‑reading script to ensure the server stays responsive while reading large files?
What does the term 'single‑threaded' mean for the JavaScript code you write in Node.js, and how does it affect asynchronous callbacks?
We noticed that a Node.js microservice becomes unresponsive under heavy JSON parsing. Walk me through why the single‑threaded model might cause this and how you'd mitigate it.
During a recent deployment, a new feature that performs image processing caused latency spikes. Explain how the event loop and thread pool interact, and what changes you'd make.
Your team wants to use a native C++ addon for a compute‑heavy task. How does Node's single‑threaded nature influence how you integrate it?
Design a strategy to handle high‑throughput I/O and occasional CPU‑bound work in a Node.js service without sacrificing latency. Discuss trade‑offs of using worker threads vs external services.
Explain how you would monitor and debug a situation where the event loop is blocked for several seconds in production. What metrics and tools would you use?
When scaling a Node.js API behind a load balancer, how does the single‑threaded model affect your scaling decisions and instance sizing?
Our legacy monolith is being rewritten into microservices, some in Node.js and some in Java. How would you decide where to place CPU‑intensive workloads, considering Node's single‑threaded model and overall system architecture?
Propose a long‑term roadmap for a large e‑commerce platform that currently uses Node.js for all services but is hitting performance limits due to event‑loop blocking. Include migration paths, team organization, and operational impacts.
Discuss the implications of moving from a single‑process Node.js deployment to a container‑orchestrated, multi‑process architecture on observability, fault isolation, and resource utilization.