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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) https://aka.ms/azfr/400/01
• Azure Cosmos DB (docs) https://aka.ms/azfr/400/02
• Partition and scale in Azure Cosmos DB https://aka.ms/azfr/400/03
• Create a Free Account (Azure) https://aka.ms/azfr/400/04
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