Deduping and Storing Images at Uber Eats

Deduping and Storing Images at Uber Eats

摘要

The Uber Eats system handles several hundred million product images and millions of image updates are performed every hour. We have implemented a content-addressable caching layer that very effectively detects duplicates and thereby reduces download times, processing times, and storage costs. This full system was developed and completely rolled out in the course of less than 2 months, which improved the latency and reliability of the image service and unblocked projects on our new catalog API development.