Read the guide below or download it in Portable Document Format (PDF).

Cloud First Consulting

Cloud & AI

Cloud modernization

Moving workloads without understanding dependencies can carry technical debt and operational risk into the cloud. Decide what to retain, retire, migrate, or redesign, then sequence change around business continuity and a governed Azure foundation.

Capabilities

  • Discover workloads, dependencies, support constraints, and business criticality.
  • Assess disposition options against compatibility, risk, operating cost, and business value.
  • Design landing-zone identity, connectivity, policy, and workload responsibility boundaries.
  • Plan Defender for Cloud coverage alongside performance, recovery, and data residency requirements.
  • Plan migration waves, representative pilots, cutover decisions, rollback, and support transition.

Deliverables

  • A workload inventory and dependency map with disposition recommendations and decision rationale.
  • A target architecture documenting platform controls, connectivity, and operational responsibilities.
  • A wave plan with prerequisites, risk treatment, effort estimates, and business change windows.
  • Cutover and acceptance criteria covering recovery tests, performance, support readiness, and rollback.

Business value

Make modernization decisions with a clearer view of cost, dependencies, and service risk. Track readiness, migration exceptions, validated recovery, and operating performance against the baseline before retiring legacy capacity.

Start with a bounded portfolio or platform assessment.

Bring workload owners, architecture records, utilization data, and change windows. Start with a bounded portfolio or pilot wave; validate licensing, regional availability, and data residency before committing to migration.

Azure, Azure Migrate, Azure SQL, Azure Policy, Defender for Cloud

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