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:
- Azure Cosmos DB (overview)
- Azure Cosmos DB (docs)
- Partition and scale in Azure Cosmos DB
- Create a Free Account (Azure)