AWS Migration Services

AWS migration services for workloads that need an owned landing zone before they need more services.

An AWS migration starts with account, identity, network, logging, backup, and cost boundaries. We map dependencies, choose a rehost or replatform path per workload, define the environment as code, rehearse the cutover, and validate the application before the source retires.

See our work

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

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 the team selecting EC2, ECS, Lambda, or EKS before it has mapped workload behavior and operating capacity?

02

Would copying on-premises sizes and permissions into one AWS account preserve the old risk in a harder-to-read bill?

Plain answer

AWS migration services move applications, databases, identity, and operations into a governed Amazon Web Services environment. RaftLabs builds the landing zone, classifies each workload, defines infrastructure as code, rehearses cutover and rollback, and validates production before retirement. A focused first workload starts at $20,000 and usually takes six to ten weeks.

The first AWS diagram had twenty services and one account.

The team had chosen containers, queues, serverless jobs, and a managed database before deciding who could change production or where audit logs would survive an account incident. The application design looked modern. The operating boundary did not exist.

The landing zone comes before the workload.

Recorded AWS migration delivery

customer records moved
300K+
Energia Rewards project record
rebuild and migration delivery
12 weeks
Recorded project duration
scheduled customer feeds
4
Domestic and commercial joiner and leaver files

The Energia Rewards case study documents a platform migration that used AWS Cognito for first-sign-in identity transfer and processed four scheduled customer feeds. Its 12-week duration and 300,000-plus record scope come from retained project records, not an independent audit. The case does not establish a universal AWS migration speed, cost, or architecture.

Choose AWS when the estate and operating team support it, not because its catalogue is longest.

The first workload should test the account model, cost assumptions, recovery path, and handover discipline.

A fit
01

AWS is already selected through existing capability, contracts, services, or a documented platform comparison.

02

Workload and security owners can approve IAM, network, logging, backup, cutover, and retirement decisions.

03

The team that inherits AWS can review infrastructure code and own cost, incidents, access, and releases.

Not a fit
01

The provider decision ignores Microsoft licensing, data-platform needs, residency, or internal operating skill.

02

The application is near retirement or its main constraint needs product or code change first.

03

The plan depends on one broad administrator role, one account, and backups inside the same failure boundary.

EC2 rehost vs managed-service replatform

EC2 rehostManaged-service replatform
ChangePreserve the application runtimeChange selected runtime or data services
Use whenExit deadline and stability leadA measured operating burden justifies change
AcceptanceFunctional, performance, recovery, and cost parityAlso compatibility, service limits, and new runbooks
Main riskOld sizing and operations follow the appService complexity exceeds team capacity

Scope

What belongs in an AWS migration release

  • 01

    AWS assessment and target decision

    Inventory workloads and dependencies, model likely consumption, compare provider fit, and state why AWS is the target for this wave.
  • 02

    Landing zone and IAM boundaries

    Define accounts, organizations, network paths, identity federation, roles, secrets, central logs, recovery copies, policies, and budgets before workload access opens.
  • 03

    Infrastructure as code

    Create reviewed Terraform or an agreed AWS-native equivalent for network, compute, data, permissions, observability, and environment differences.
  • 04

    Application, database, and identity movement

    Rehost or replatform only the selected components, reconcile data, preserve login and permission behavior, and test every external dependency.
  • 05

    Cutover and AWS operating handoff

    Rehearse traffic switching and rollback, validate production, monitor spend and reliability, then transfer access, runbooks, and change ownership.

How it works

From AWS target design to accepted workload

  1. Phase 1
    01

    Assess workload and AWS fit

    Map dependencies, demand, recovery, identity, data, licences, current cost, team skill, and the business reason for AWS.

  2. Phase 2
    02

    Build the landing zone and plan

    Define accounts, organizational controls, network, IAM, logging, backup, budgets, infrastructure code, migration path, and wave runbook.

  3. Phase 3
    03

    Migrate and rehearse

    Move a representative workload and its data, test integrations and operations, measure target cost, and rehearse cutover and rollback.

  4. Phase 4
    04

    Cut over and transfer

    Execute the approved switch, validate production, monitor the workload, transfer runbooks and access, and retire source resources deliberately.

Risk

What the AWS decision record must settle

Account and permission boundary
State where production, logs, security tools, recovery copies, and lower environments live and who can change each one.
Service exit cost
Record portability and data-egress implications before a managed service becomes part of the application design.
Recovery independence
Protect copies and credentials so a mistaken deletion or compromised production account cannot remove the only recovery path.
Measured target cost
Revisit sizing, storage, transfer, commitments, and idle resources after the representative workload produces real usage data.

Scope and price

A focused AWS migration starts at $20,000.

Start with the landing-zone controls and one representative workload, including data, rehearsal, cutover, validation, and operating handoff.

The first workload proves the AWS pattern and measured run cost before the remaining estate follows it.

Starting investment

Starts at $20,000

A focused first workload usually takes six to ten weeks after assessment. Identity change, large databases, hybrid networking, regulated evidence, or several accounts can extend the plan.

Infrastructure is reviewable code

The target environment ships through the buyer's repositories and accounts, with changes visible before they apply.

Rollback stays available through acceptance

The source and recovery route remain usable until the agreed production checks pass and owners approve retirement.

Related cloud and operations services

Common questions

They include workload discovery, AWS fit and cost assessment, landing-zone design, account and network controls, IAM, infrastructure as code, application and database movement, identity transition, cutover rehearsal, rollback, production validation, monitoring, documentation, and handover. The exact service choices follow the workload rather than a standard AWS checklist.

Rehost when the deadline and application condition favor minimal change. Replatform when a specific managed service reduces a measured operating burden without forcing a redesign. ECS may suit containerized services, while Lambda may suit short event-driven work. EKS adds an orchestration platform and should have a clear scale or portability case.

The structure depends on team and regulatory needs, but it should separate production from lower environments, centralize audit and security records, define identity and permission boundaries, control network paths, protect recovery copies, apply budgets, and make changes through reviewed code. One shared account is rarely a durable production boundary.

We inventory schemas, queries, users, authentication flows, and recovery needs before choosing RDS, Aurora, self-managed compute, or another target. Data movement uses rehearsed export, restore, or replication with reconciliation. Identity migration includes duplicate handling, recovery paths, session behavior, permission tests, and rollback if the new directory cannot authorize correctly.

A focused first workload starts at $20,000 and usually takes six to ten weeks after assessment. It covers landing-zone controls, infrastructure as code, one related application cluster, data movement, rehearsal, cutover, validation, and handover. Complex databases, identity changes, hybrid networks, regulated evidence, or several accounts increase scope.

Work with us

Bring the workload and the AWS assumption you have not tested.

Share the dependency map, current cost, recovery need, acceptable downtime, identity model, and operating team. We will scope a representative first move.

  • 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.