The problem
Order, product and price feeds arrived as one nightly batch. When a single feed failed, the whole run had to be repeated, and the repeat did not fit in the window before the business day started.
How it works
Feeds land on RabbitMQ and are consumed by Laravel workers that validate, transform and apply business logic in small idempotent batches. A failed batch is retried on its own; it no longer takes the rest of the night with it.
On the storage side, the tables are partitioned and the indexes are built for the queries that actually run, which is what keeps response times flat as the row count crosses a hundred million. Redis sits in front of the hot slice, so reporting stops competing with ingestion for the same pages.
What it bought
Processing time fell by about ninety per cent and the pipeline absorbed roughly ten times the volume on the same hardware.