The answer
Yes. For large files or data, use streams instead of loading everything into memory. Streams process data in chunks, keeping memory usage low and preventing your process from crashing on large inputs.
Best Practices for Async Code in Node.js
Should I use streams for large data in Node.js?
More FAQs in Best Practices for Async Code in Node.js
Use async/await for all new code. It is cleaner, easier to read, and easier to debug than callbacks. Reserve callbacks for EventEmitter and old APIs that use them, but write new code with async/await.
Always wrap async code in try/catch, or use .catch on promises. Add a global unhandled rejection handler as a safety net, since unhandled promise rejections crash the process in newer Node.js versions.
Use Promise.all to run independent async operations in parallel instead of awaiting each sequentially. This is often much faster, since the operations run concurrently instead of one after another.
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