Multi-Region Data Migration
Re-architecting an inventory datastore from relational to DynamoDB across multiple regions
Overview
Built at Amazon WW Grocery, this project re-architected an inventory datastore from a relational database to NoSQL (DynamoDB) to unlock higher throughput at lower cost.
I designed and executed the migration of 10M+ records across multiple regions, keeping downtime under 5 minutes with comprehensive validation at every step.
Business Impact
10x
Throughput Scalability
Headroom gained by moving to DynamoDB
−10%
Infrastructure Cost
Lower cost than the relational datastore
10M+
Records Migrated
Moved across multiple regions
< 5 min
Downtime
For the entire cutover
Migration Approach
- •Re-modeled the inventory datastore from relational tables to DynamoDB
- •Migrated 10M+ records across multiple regions
- •Ran comprehensive validation to confirm data correctness in every region
- •Planned the cutover to keep downtime under 5 minutes
Technologies Used
Source
Relational database
Target
DynamoDB
Cloud
AWS (multi-region)
Frequently Asked Questions
Why move from a relational database to DynamoDB?
The move to NoSQL gave the inventory datastore 10x throughput scalability while reducing infrastructure costs by 10%.
How much data was migrated, and with how much downtime?
More than 10 million records across multiple regions, with under 5 minutes of downtime.
How was correctness verified?
Every region went through comprehensive validation as part of the migration before cutover was considered complete.