Case Study: Amazon Prime Video achieves greater scale, resilience, and 30% lower latency with Amazon Web Services (Amazon DynamoDB)

Prime Video Boosts Scale and Resilience Using Amazon DynamoDB

Prime Video, part of Amazon, faced a scaling and reliability crisis with its legacy Customer Queue Service (CQS) built on Oracle. Over years of growth the system became complex, slow to update, and prone to outages—35 service disruptions between 2010 and 2018—while read-heavy traffic and deprecated features made operations and continuous deployment difficult. The team needed a scalable, resilient platform that could migrate billions of records with no customer impact.

Prime Video replaced CQS with a suite of 12 microservices on AWS—using Amazon DynamoDB, AWS Lambda, and Amazon SQS—migrating billions of rows and launching the new platform with zero downtime. The migration delivered a next-generation, globally replicated data set, improved latency by about 30%, reached 100,000 transactions per second, cut entitlement errors by 90%, reduced TV library latency by 85%, and lowered costs by 55%, while enabling event-driven innovation and greater operational efficiency.

Amazon Prime Video

Tim Kohn

Vice President of Technology