Question

A company is planning a large-scale migration of roughly 800 on-premises VMware virtual machines to AWS. The migration team has no reliable inventory and does not understand the network communication patterns between applications. Leadership requires a data-driven migration plan that groups servers into move groups based on their runtime dependencies before any migration wave begins. Which approach best supports the discovery and planning phase?

Accepted Answer

Deploy AWS Application Discovery Service agents (or the Agentless Collector) to gather utilization and network connection data, then use Migration Hub to visualize dependencies and build move groups.

Answer

Install AWS Application Migration Service (MGN) agents on all 800 servers immediately and use the replication traffic patterns to infer application dependencies.

Answer

Use AWS Database Migration Service (DMS) with the Schema Conversion Tool to assess each workload and generate a dependency map of the virtual machines.

Answer

Order an AWS Snowball Edge device to bulk-copy the VMDK files to Amazon S3, then analyze the disk images to reconstruct network dependencies.