Question

A company is planning a large datacenter migration to Azure following the Microsoft Cloud Adoption Framework (CAF). They have hundreds of physical and virtual servers with poorly documented interdependencies. Before committing to a migration wave plan, the architecture team must produce an inventory of servers, assess their readiness and right-sized Azure targets, and understand which applications communicate with each other so that tightly coupled workloads are migrated together. Which approach should you recommend to gather this information with minimal manual effort?

Accepted Answer

Deploy the Azure Migrate appliance to perform discovery, then enable dependency analysis (agentless or agent-based) to map application communication before grouping servers into migration waves.

Answer

Use Azure Site Recovery replication for every server and infer dependencies from the replication health dashboard.

Answer

Run Azure Advisor cost recommendations against the on-premises hypervisors to identify right-sized Azure VM SKUs and dependencies.

Answer

Export a list of virtual machines from vCenter and use Azure Pricing Calculator to estimate targets, mapping dependencies manually in a spreadsheet.