Uber Eats Scaling Nightmare: How They Fixed Infinite Merchant Growth
Автор: InfoQ
Загружено: 2025-05-18
Просмотров: 2254
Описание:
Learn how Uber Eats tackled the complexities of indexing millions of stores and billions of items while maintaining a seamless user experience across diverse discovery surfaces like home feed and search.
Discover the architectural deep dives into their sharding strategies (latitude & hex sharding), custom index layouts optimized for search patterns (Eats vs. Grocery), and how they leveraged ETD (Estimated Time of Delivery) indexing and parallel query execution to overcome critical latency bottlenecks.
🔗 Transcript available on InfoQ: https://bit.ly/4k0zNOy
#UberEats #Scalability #SoftwareArchitecture
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