Domain 1 of 6 · Chapter 4 of 5

Migration Planning

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Included in this chapter:

  • The four-phase framework and the migration paths
  • The GCP migration toolchain
  • Sizing data transfer and counting licenses
  • Exam-pattern recognition

Which GCP migration tool for which workload

Workload / data classToolMigration path it servesCutover behavior
VM (VMware / AWS / Azure / on-prem)Migrate to Virtual MachinesRehost (lift and shift)Disk replication, test-clone validation, then cutover
Relational databaseDatabase Migration ServiceRehost or replatform to managed DBContinuous CDC replication, near-zero downtime cutover
Bulk object data (online)Storage Transfer ServiceSupports any path; data movementScheduled or one-time online copy to Cloud Storage
Bulk object data (offline)Transfer ApplianceSupports any path; data movementShip hardware; Google uploads to Cloud Storage
Inventory / dependency / TCOMigration CenterDecides the path per assetAssessment only, no data moved

Decision tree

Estate assessed yet?Not yetMigration Centerdiscover, TCO, pick path per assetYes: route by workloadWhat is the workload?VM (rehost)Migrate to Virtual Machinesreplicate, test clone, cutoverDatabaseDatabase Migration ServiceCDC, minimal downtimeBulk dataBandwidth fitsthe deadline?YesStorage Transfer ServiceNoTransfer AppliancePer-core licensed (Windows / Oracle): place BYOL VMs on sole-tenant nodes for dedicated hardware.Each workload is routed independently; one estate uses several paths at once.

Cheat sheet

  • Migrate in four phases: assess, plan, deploy, optimize
  • Assign a migration path per workload, not one path for the estate
  • Place each path on the effort-versus-benefit ladder
  • Rehost (lift and shift) when the deadline or workload forbids change
  • Replatform (move and improve) to gain cloud benefit during the move
  • Migration Center is the assess-and-plan tool, and moves no data
  • Use Migrate to Virtual Machines to lift VMs into Compute Engine
  • Use Database Migration Service for minimal-downtime database moves
  • DMS supports heterogeneous moves like Oracle to PostgreSQL
  • Choose online vs offline transfer by bandwidth and deadline, not size
  • Use Transfer Appliance when bandwidth cannot meet the deadline
  • Cost the licenses as part of the migration's financial impact
  • Repurchase to a managed service to stop operating the workload
  • Retire unused or duplicate apps instead of migrating them
  • Read the constraint first in a migration scenario
  • Use the mcdc CLI for offline assessment when data cannot leave on-premises
  • Plan migration waves by value/effort and group interdependent workloads into move groups
  • Transfer Appliance supports CMEK and provides a wipe certificate after erasure
  • Storage Transfer Service: agent pools, sync-delete, manifests, and Pub/Sub notifications

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References

  1. Migrate to Google Cloud: Get started Well-Architected
  2. Migration Center overview
  3. Migrate to Virtual Machines: Migration overview
  4. Database Migration Service overview
  5. Migration to Google Cloud: Transferring your large datasets Well-Architected
  6. Transfer Appliance overview
  7. Sole-tenant nodes