11 Azure Cosmos DB
This chapter covers
- Creating an Azure Cosmos DB account, database, and collection
- Data modeling and partitioning to optimize Cosmos DB
- Consistency models and concurrency control
- Managing costs and performance optimization
We’ve arrived at one of my favorite services on Azure: Cosmos DB. It’s one of those services that wouldn’t exist with cloud computing, so it isn’t merely an adaptation of traditional services such as virtual machines or storage. Azure’s highly scalable and distributed NoSQL database service is designed to handle massive amounts of data across global networks. Cosmos DB stands out with its remarkable flexibility, blazing-fast performance, and comprehensive support for various data models. It handles key-value, document, or graph databases, and has plenty of developer tools to shout about too.
Alpaca-Ma-Bags, our burgeoning company specializing in clothing and accessories made from Alpaca wool, needs some Cosmos DB love. As business expands, Alpaca-Ma-Bags faces significant challenges in managing its growing product catalog, handling global customer traffic, and maintaining real-time data analytics for business insights. These challenges aren’t just about scale but also about the agility and flexibility needed in a dynamic e-commerce landscape. And if there’s a term that describes Alpaca-Ma-Bags, it’s dynamic.