Cloud Migration Services

Cloud migration services for workloads that need a safer operating model, not a new hosting bill.

A cloud migration should decide what to retire, retain, rehost, replatform, or rebuild before anyone copies servers. We inventory dependencies, design the target controls and costs, move one representative workload, rehearse cutover and rollback, then expand on evidence.

Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.

Evidence and scope

300K+ records

Recorded migration scope

Energia Rewards moved customer records into a rebuilt cloud platform without a population-wide password reset.

12 weeks

Recorded delivery

The retained project record covers the rebuild, data migration, identity transition, and operating feeds.

11 scripts

Data remediation

Project records identify dedicated scripts used to prepare legacy data for migration.

Evidence · planning contextSee the work

The brief

Start with what is not working.

Good software decisions begin with the constraint, not a list of features or a preferred technology.

01

Is an upcoming hardware, licence, or support deadline forcing a migration before anyone understands the dependency map?

02

Would moving current server sizes unchanged create the same operational burden with a variable monthly bill?

Plain answer

Cloud migration services move applications, data, identity, and operations into a cloud environment with tested controls and rollback. RaftLabs inventories workloads, chooses the right migration path, builds the landing zone as code, rehearses cutover, and validates production. A focused first workload starts at $25,000 and usually takes six to ten weeks.

The deadline said migrate. The dependency map said maybe.

The deadline was close. Twelve weeks. One customer portal looked independent until discovery found its authentication service, nightly finance export, and file share on three other hosts. A direct copy would have moved the visible application and stranded the work that kept it alive.

Migration waves follow dependencies, not the server list.

Recorded cloud-migration delivery

300K+
customer records moved
Energia Rewards project record
12 weeks
rebuild and migration delivery
Recorded project duration
11
legacy-data remediation scripts
Recorded migration scope

The Energia Rewards case study documents a 12-week rebuild and migration involving more than 300,000 customer records and 11 remediation scripts. Those figures come from retained RaftLabs project records and are not independently audited. The case does not prove that every cloud migration can meet the same duration, data volume, or identity approach.

Migrate when the operating case is stronger than the hosting change alone.

The first wave needs a business deadline, dependency owners, a recoverable cutover, and a team prepared to run the target.

A fit
01

Hardware, hosting, licence, resilience, or delivery limits create a defined reason to move.

02

Application and data owners can map dependencies and approve acceptance tests.

03

The target team can own cloud cost, access, backup, release, and incident response after handover.

Not a fit
01

The application is being retired before the migration can pay back.

02

The main problem is product behavior or code quality that a hosting move will not change.

03

No owner can approve downtime, rollback, security controls, or source decommissioning.

Rehost vs replatform vs refactor

DecisionRehostReplatformRefactor
ChangeMove the workload largely as it isAdopt selected managed servicesRedesign application components
Best reasonExit deadline or infrastructure riskReduce a known operating burdenRemove a measured product or scale constraint
Main riskOld cost and operations follow the appCompatibility work is underestimatedMigration becomes a broad rewrite
Evidence requiredRunbook and target sizingService compatibility and cost testBusiness case, staged release, and rollback boundary

Scope

What belongs in a cloud migration program

  • 01
    Workload inventory and dependency map
    Record applications, services, databases, identities, integrations, batch jobs, owners, support dates, data classes, and recovery requirements.
  • 02
    Migration strategy and wave plan
    Assign a path to every workload, group coupled systems, define the representative first wave, and state what will remain or retire.
  • 03
    Landing zone and infrastructure as code
    Create accounts or subscriptions, networks, identity boundaries, logging, secrets, backups, budgets, and policies through reviewed code.
  • 04
    Application and data movement
    Build repeatable transfer or replication, reconcile data, test performance and integrations, and preserve a usable source until acceptance completes.
  • 05
    Cutover, rollback, and handover
    Name go or no-go owners, rehearse the runbook, document rollback thresholds, monitor the new environment, and transfer operational ownership.

How it works

From workload portfolio to proven cutover

  1. Phase 1
    01

    Inventory and classify

    Map workloads, data, identities, dependencies, owners, support deadlines, recovery needs, and current operating cost.

  2. Phase 2
    02

    Design the target and waves

    Choose a migration path per workload, define landing-zone controls, estimate target cost, and group dependencies into safe waves.

  3. Phase 3
    03

    Build and rehearse

    Create infrastructure as code, migrate a representative workload, test data and operations, and rehearse cutover and rollback.

  4. Phase 4
    04

    Cut over and stabilize

    Execute the approved runbook, validate production, observe cost and reliability, hand over operations, and retire sources deliberately.

Risk

What the migration decision record must settle

Dependency completeness
State how discovery was performed, which owners reviewed it, and what happens when an unknown dependency appears.
Recovery boundary
Keep backups and rollback paths independent enough that a target-account failure cannot remove every recovery copy.
Cost baseline
Compare workload demand, licences, data transfer, support effort, and commitments rather than server list prices alone.
Exit and ownership
Name who accepts the target, when the source can retire, and which runbooks and credentials transfer to the operating team.

Scope and price

A focused cloud migration starts at $25,000.

Start with assessment, one representative workload, its dependencies, target controls, rehearsal, cutover, validation, and handover.

The first wave proves the target pattern and operating cost before the rest of the estate follows it.

Starting investment

Starts at $25,000

A focused first workload usually takes six to ten weeks after assessment. Hybrid networks, large databases, regulated evidence, or several coupled applications can extend the plan.

Rollback is rehearsed

The cutover plan includes decision thresholds, owners, commands, validation, and a tested route back to the retained source.

The target is yours to operate

Infrastructure code, runbooks, account structure, monitoring, and access ownership transfer with the workload.

Cloud migration paths

Cloud migration questions

Cloud migration services assess, plan, and move applications, databases, identity, networks, and operating processes into AWS, Azure, GCP, or another target. Responsible delivery also covers dependency mapping, security controls, infrastructure as code, cutover, rollback, validation, cost baselines, and team handover.

Choose from the business deadline, application condition, support horizon, risk, team skill, and target economics. Rehosting can exit failing infrastructure quickly. Replatforming removes selected operating burden. Refactoring is justified only when a measured product or reliability constraint pays for the extra change. Some workloads should be replaced, retired, or left in place.

The choice depends on current licences, identity, database engines, data services, geographic needs, commercial commitments, and the team that will operate the result. AWS and Azure have separate migration details on this site. We do not force a provider decision when the existing estate or operating team points elsewhere.

We define the acceptable outage first, then select replication, parallel running, blue-green traffic switching, or a scheduled restore accordingly. A cutover rehearsal measures duration and exposes missing steps. Production proceeds only with validation checks, named decision owners, a rollback threshold, and a source-retention period.

A focused first workload starts at $25,000 and usually takes six to ten weeks after assessment. It includes dependency mapping, target design, infrastructure as code, migration, rehearsal, cutover, validation, and handover. Multiple applications, cross-engine databases, regulated evidence, hybrid networking, or short deadlines increase scope.

Work with us

Bring the workload deadline and the dependency map you trust least.

Share the current estate, business deadline, recovery requirement, acceptable downtime, target options, and operating team. We will identify the safest first wave.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.