Compute resource optimizations

In any typical data modern data platform that’s been built using AWS data and analytics services, the platform infrastructure expenses will be dominated by the compute expenses provided by many of the services. Take any service we discussed in this book, be it DMS for data ingestion, Glue and EMR for data processing, Kinesis and MSK for streaming data, Redshift for data warehouses, Athena for ad hoc analytics on the data lake, different SageMaker tools for ML, OpenSearch Service for operational analytics, QuickSight for business intelligence and many other supporting services – if you look at the overall cost of each of these services, you will find that the vast majority of the expense comes from the compute resources supporting these services. The reason is simple – CPUs/GPUs are significantly more expensive than storage, memory, and networking.

Compute resources are also one of the most important dimensions regarding the optimal...