As modern, cloud-based apps have evolved, they’ve required data storage to adapt with them. Services such as Azure Cosmos DB have risen to the challenge by providing a fully managed, multi-model, globally distributed NoSQL database.
In this hands-on lab scenario, your organization (Awesome Company) is developing a next-generation video game that will rely heavily on the Cloud. In order to achieve guaranteed performance around the globe, you’ve chosen Azure Cosmos DB as the data backend. Management has asked you to reduce the cost of the `Players` database as much as possible while still maintaining essential functionality.
Performing the actions of this lab will help you become familiar with how to tune Azure Cosmos DB for the purpose of optimizing cost efficiency.
**Note: Because the Azure Cosmos DB account is a complex and pre-provisioned environment, it will take significant time for the lab to start up. Please be patient and make sure you have at least an hour of time for completion of the lab.**
Learning Objectives
Successfully complete this lab by achieving the following learning objectives:
- Evaluate Region Distribution
Review the current regions currently being used and remove any that are not part of the essential criteria.
- Evaluate the Index Policy
Review the index policy on the
Profilescontainer and adjust it to focus on the essential criteria.- Evaluate the Throughput Model
Review the current throughput settings and adjust them to be in compliance with the essential criteria.
