Batch APIs look simple at first.
Send many records -> process them -> done.
But reality is different 😄
If one record has bad data.
And suddenly because of that:
- The entire batch failed.
- 999 good records get punished.
- The client has no idea what actually going wrong.
Another common problem:
- The API always returns
200OK. - But half the records quietly failed.
- No clear success or failure details.
And retries?
Usually it’s just:
- Retry the whole batch.
Now the system:
- Reprocesses records that already succeeded.
- Creates duplicate data.
- Wastes time and resources.
A good batch API should:
- Handle each record separately.
- Clearly show what worked and what didn’t.
- Retry only the failed records.
- Do its job without surprises.
Batch processing isn’t about handling a lot of data.
It’s about handling bad data without breaking the rest.
If you worked with Node.js batch jobs, queues, or async workers.
You have definitely seen this 😅 and you can relate.
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