Cosmos DB Optimization

John Savill's Technical Training walks through practical ways to optimize Azure Cosmos DB cost and performance, focusing on throughput (RUs), service tiers, partitioning, and data model/design choices.

Cosmos DB Optimization

This session covers how to optimize Azure Cosmos DB deployments with a focus on cost/performance trade-offs. Topics include throughput models (Request Units), service options, and how data model and partitioning decisions directly affect RU consumption.

Chapters covered (video outline)

Key optimization themes called out

Throughput and pricing model choices

Partitioning and data model design

Additional learning resources from the author

Notes