An exploration of CosmosDb combined with Azure Functions.
This session starts with an overview of these technologies and some basic instruction focusing on how to model data, choose partition keys, and use Azure Functions with the CosmosDb change feed to create secondary indexes and summary views, all guided by an overall goal of minimizing cost.
But this ain't no sales pitch; we'll approach these topics from a distinctly critical perspective. Marketing features aren't as important as how it actually behaves in the real world, so we'll focus on the hard parts: limitations of the change feed, handling error conditions in Azure Functions, using stored procedures when you need ACID updates, changing partition keys after deployment, and maintaining multiple change feeds. This is CosmosDb in the real world!