Cloud & Platform service
Cloud Migration
Move workloads through evidence-led migration waves that account for dependencies, data movement, rollback, operational readiness, and post-cutover stabilization.
Service context
A migration is a controlled change to a live system, not a file-transfer exercise. We map dependencies, business windows, data behavior, operational responsibilities, and acceptable interruption before selecting a migration path.
Each wave is rehearsed with validation and rollback criteria. Rehost, replatform, refactor, retain, and retire decisions remain explicit so short-term movement does not hide long-term operating consequences.
Problems addressed
- 01
Application and data dependencies are only discovered during testing or cutover, when options are most constrained.
- 02
A broad migration target exists, but workloads have not been grouped by risk, business calendar, or migration path.
- 03
The destination environment is technically available while monitoring, support, recovery, and ownership remain unprepared.
Engagement approach
Build an evidence-based inventory that combines technical dependencies with business criticality and operating windows.
Select a migration path and acceptance criteria per workload, then rehearse data movement, validation, rollback, and communications.
Move in bounded waves and keep a stabilization period in which source, destination, and support teams share the same evidence.
Delivery stages
- 01
Inventory
Combine dependency discovery, business criticality, data behavior, ownership, and calendar constraints.
- 02
Plan
Choose workload paths, migration waves, acceptance evidence, rollback triggers, and communications.
- 03
Rehearse
Test replication, cutover runbooks, validation, recovery, performance, and support readiness.
- 04
Transition
Execute bounded waves, stabilize services, close source dependencies, and capture lessons.
Technology context
AWS Migration Hub
Azure Migrate
Terraform
Docker
Value direction
These are intended operating improvements, not guaranteed results.
- Migration sequencing that reflects real dependencies and business timing rather than infrastructure inventory alone.
- Clear go, no-go, and rollback criteria for each cutover wave.
- Destination services that enter production with monitoring, recovery, and support responsibilities defined.
- A documented disposition for retained and retired components so hidden legacy dependencies do not persist indefinitely.
Decision questions
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