Picture this:
You’re building a batch update API to process 1,000 tasks in a single request. Each task needs to go through these steps:
- Validate the input data.
- Log an audit entry.
- Update the database.
- Notify the user.
Sounds simple, right? Well, here’s the catch: each step takes 100 milliseconds per task. Multiply that by 1,000 tasks across 4 steps, and voilà—you’re staring at over 6 minutes to process a single batch.
What if I told you it could be done in ~400ms?
Check out my latest article on Concurrent Pipelines in Go. I’ll walk you through building scalable APIs that are as fast as your users expect them to be.
Read the full article here and unlock the secrets of lightning-fast APIs. Your next backend system will thank you. 💻
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