Published on April 12, 2018 by Microsoft

Aravind Krishna stops by to chat with Scott Hanselman and take a look at common design patterns for building highly scalable solutions with Azure Cosmos DB. We will talk a little bit about modeling data and how to choose an appropriate partition key. We then look at a few patterns like event sourcing, time series data, and patterns for addressing bottlenecks/hot spots for reads, writes, and storage.

For more information:

Leave a Reply

1 Comment on "Common design patterns with Azure Cosmos DB"

Notify of

3 months 3 days ago

The repository with all this in: