I recently wrote about a backend problem that looked simple at first but became a real architecture and reliability challenge under load:
scaling bulk search in Spring Boot with parallel batch jobs and controlled concurrency
A few lessons stood out for me:
- parallelism helps, but only until it starts hurting upstream systems
- chunking is not just a batch setting, it becomes a stability boundary
- partial failure handling matters as much as throughput
- caching repeated enrichment work can remove a surprising amount of unnecessary load
One of the biggest shifts for me was moving away from a more limited blocking flow into parallel batch jobs while still keeping pressure on downstream systems under control.
I wrote the full breakdown here:
https://medium.com/p/6a742ad7af9d
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