Assess whether each VM-based workload should stay in the cloud, move to isolated dedicated capacity, or use a hybrid model based on demand, cost, location, validation, and cutover constraints.
Inventory applications, databases, identity paths, and network dependencies, then map workloads to migration waves.
Use workload and bandwidth evidence to identify stable workloads with more predictable dedicated-server costs.
Separate pilots, bulk transfers, validation, and cutover so stateful data stays visible throughout the move.
Assess single-tenant isolation, security boundaries, and regional placement for each workload and target location.
Cloud migration starts with evaluating the estate you actually run. Inventory applications, dependencies, stateful services, transfer volumes, operating constraints, and demand patterns, then decide what should remain in the cloud, move to dedicated infrastructure, or use a hybrid model. Rehost, replatform, retain, retire, replace, or refactor only after that evidence is clear.
At Melbicom, we configure isolated dedicated server capacity around measured CPU, memory, storage I/O, bandwidth, and regional placement. Stable workloads can gain more predictable infrastructure and bandwidth costs, clearer security boundaries through single-tenant isolation, and more precise placement where a chosen cloud platform lacks the required location or control.
A controlled plan can retain elastic demand in cloud capacity while placing steady workloads on dedicated infrastructure. Run any move through explicit gates for pilots, transfer, testing, cutover, validation, rollback, and cleanup. Optional S3 cloud storage can hold staging or recovery copies without becoming the production target or shifting execution away from the customer.
Rehost VM-based applications on isolated capacity sized from measured CPU, memory, storage I/O, and network demand.
Move stateful databases through replication, testing, cutover, and rollback while your team owns every integrity check.
Move steady workloads from public cloud into customer-operated capacity without preserving unmeasured source allocations.
Sequence dependencies, data transfer, DNS changes, validation, and cleanup against explicit provider-exit acceptance criteria.
Replatform services while keeping tests, releases, observability, and application changes under direct customer control.
Place workloads in a new region after measuring user paths, data volume, transfer demand, and operational dependencies.
Keep elastic demand in cloud capacity and place stable workloads on dedicated infrastructure through migration waves.
Use optional S3 cloud storage for migration artifacts or recovery copies during phased transfer, validation, and rollback.
