Architectural considerations

Due to the heavy use of serverless resources in this chapter’s example, cost optimization elements are automatically achieved. It is always a best practice to continually evaluate usage patterns relative to projections. Significant cost savings can be realized by understanding the consumption-based cost levers available and adjusting the amount of compute you use in the cloud to align with the usage patterns of your GIS system.

Amazon Aurora provides a powerful monitoring capability that enables you to have real-time visibility into the health of your geodatabase. CPU utilization, memory, database connections, and disk I/O are just a few of the 41 health metrics that are automatically tracked for your database. Additionally, alerts can be set up on predefined thresholds to know when any conditions exist that may suggest a reevaluation of your initial sizing. Because it is possible to vertically scale your database up or down in minutes, AWS enables...