Database migration cost can be optimized by carefully selecting the AWS DMS instance type based on workload characteristics like memory intensity, CPU intensity, criticality, burstability, and conducting test migrations to determine optimal instance size.

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<p>This article discusses cost optimization strategies for database migrations using AWS Database Migration Service (DMS).</p>
<p>Specifically, the article covers:</p>
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<li>Components of a database migration: source database, target database, data migration tool, and schema conversion</li>
<li>Factors that affect AWS DMS migration costs: replication instance hours, instance type, deployment type, storage volume, and data transfer</li>
<li>Selecting the right AWS DMS instance type based on workload characteristics like memory-intensive, CPU-intensive, non-critical, and burstable workloads</li>
<li>A decision-making process for choosing the appropriate instance class, including conducting test migrations and benchmarking</li>
<li>Estimating memory and CPU requirements for migration tasks based on factors like LOB columns, parallel loading, and commit rate</li>
<li>Storage requirements based on factors like full load duration, debug mode, and IOPS needs</li>
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