Cloud migration

A cloud destination changes the operating model as well as the infrastructure. Managed-service restrictions, network latency, data movement and recovery design need to be evaluated before choosing the target. The migration plan connects those architecture decisions to testing, cutover and operational ownership.

Talk to an expertEngineering workstreams

Engineering workstreams

For organizations evaluating a cloud database target or moving on-premises workloads into a managed or self-managed cloud environment.

  1. 01

    Assess workload characteristics, application proximity, connectivity and data-handling constraints. Identify features that may limit the choice of managed service or deployment model.

  2. 02

    Compare target architectures against required control, availability, backup and recovery. Review the cost assumptions for compute, storage, data transfer and ongoing operations.

  3. 03

    Plan initial transfer and subsequent changes against network capacity and the migration window. Test private connectivity, access controls and representative application latency.

  4. 04

    Validate the recovery and monitoring design with the operating team. Define ownership of patching, backup, incident handling and cost monitoring before cutover.

Architecture and migration decisions

  • What target architecture and operating model fit the workload?
  • What data handling, access and connectivity constraints apply?
  • How will performance, recovery objectives and acceptance criteria be validated?

Evidence and deliverables

  • Cloud readiness and risk assessment
  • Target architecture and migration design
  • Data validation and cutover plan
  • Operational documentation and handover

The final scope, acceptance criteria, downtime window and commercial terms are agreed for each project.

Essential (always active)

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