Cost optimize database migrations with AWS DMS: Part 1

This article discusses cost optimization strategies for database migrations using AWS Database Migration Service (DMS).

Specifically, the article covers:

• Components of a database migration: source database, target database, data migration tool, and schema conversion
• Factors that affect AWS DMS migration costs: replication instance hours, instance type, deployment type, storage volume, and data transfer
• Selecting the right AWS DMS instance type based on workload characteristics like memory-intensive, CPU-intensive, non-critical, and burstable workloads
• A decision-making process for choosing the appropriate instance class, including conducting test migrations and benchmarking
• Estimating memory and CPU requirements for migration tasks based on factors like LOB columns, parallel loading, and commit rate
• Storage requirements based on factors like full load duration, debug mode, and IOPS needs