When do you choose worker threads instead of the cluster module?
PICTURE THIS: A REST CALL
Simple meaning
Worker threads share memory and suit CPU-heavy tasks such as image processing inside one process.
WHY — Node.js instead of guessing?
Why interviewers care about Node.js:
on Node.js.
the situation, the default choice, and one exception - that reads as experience.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Worker threads share memory
and suit CPU-heavy tasks such as image processing inside one process.
- 2cluster forks processes for
more HTTP concurrency on multiple cores.
- 3Do not use either
as a substitute for moving heavy work to a job queue when the API must stay responsive.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Worker threads share memory and suit CPU-heavy tasks such as image processing inside one process. cluster forks processes for more HTTP concurrency on multiple cores.