Building an Elastic, Resilient Data Layer to Power New Retail Experiences
summary
A data-layer-first approach that uses YugabyteDB consolidates DynamoDB/ElastiCache/Aurora stacks into a single platform with Postgres and Cassandra APIs, supports geo-distributed strong consistency via Raft and RocksDB, and handles 4–5x Black Friday traffic and millions of ops per second while scaling back to hundreds of thousands. Case details: Kroger moves 20+ microservices onto the DB, Narvar cuts TCO by consolidating services, and a top‑five retailer achieves 0 RPO with 3‑second failover.
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chapters (9)
- 0:00Retail data layer challenges
- 1:07Retail business priorities
- 3:15Data for customer experiences
- 8:31Frontline worker efficiency
- 11:20Database efficiency for profit
- 16:14Consistent data across regions
- 20:02Trust and availability in retail
- 28:23Retail modernization strategies
- 33:13Closing remarks & Q&A
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