AWS Cloud Migration

Migration Done Right Is Not Just a Move. It Is the First Step of a Better Architecture.

Cloud migration that treats every workload the same produces environments that cost more than what they replaced and perform no better. The organizations that realize genuine business value from AWS migration approach it as a portfolio-level decision, applying the right strategy to each workload, building a governed landing zone before moving the first server, and connecting the migration programs to a modernization roadmap that continues after cutover. 

As an AWS Advanced Tier Services Partner, Futran designs and executes AWS cloud migrations using the 7R framework, AWS-native tooling, and a structured three-phase methodology that carries organizations from initial assessment to production-ready cloud environments with measured business outcomes at each stage. 

‘Migration Readiness Assessment: complimentary for all qualifying organizations. AWS MAP-aligned – organizations with committed AWS spend may qualify for funded migration support. Talk to our migration team to confirm eligibility.’

Migration Outcomes That Have Been Measured

Up to 66%

Infrastructure cost reduction achievable through well-executed replatform or refactor migration strategies, based on AWS-published migration outcome data

3-phase

Assess, Mobilize, and Migrate: the structured methodology that reduces migration risk and accelerates time to value

7Rs

Migration strategy options evaluated per workload: Rehost, Relocate, Replatform, Refactor, Repurchase, Retain, Retire

Zero

Downtime tolerance built into our cutover planning for every business-critical workload

43%

Revenue growth uplift documented by AWS for organizations that refactor applications to cloud-native architecture

60 days

Typical time from signed engagement to first wave production cutover for mid-market AWS migrations

How Futran Executes AWS Cloud Migration

Phase 1
Assess — Build the Business Case and Migration Inventory
Before any workload moves, we conduct a Cloud Readiness Assessment that inventories your application portfolio, maps dependencies, evaluates infrastructure utilization, models the total cost of ownership comparison between your current environment and AWS, and assigns an initial migration strategy to each workload using the 7R framework. This phase produces the business case your leadership team needs to authorize migration investment and the technical inventory your delivery team needs to plan execution accurately.
Phase 2
Mobilize — Build the Landing Zone and Foundation
We build your AWS landing zone using AWS Control Tower, establishing a multi-account structure, security guardrails, identity and access management architecture, network baselines, and centralized logging before any production workload arrives. This foundation phase is where the governance, compliance, and cost controls that protect your environment are implemented. Organizations that skip this phase almost always incur significant remediation cost later.
Phase 3
Migrate and Modernize — Execute in Structured Waves
Migration waves are sequenced by workload criticality, dependency mapping, and business priority. We begin with lower-risk workloads that validate tooling and process, then progress to business-critical systems with a parallel-run period and a formal cutover plan. AWS-native migration tooling including AWS Application Migration Service, AWS Database Migration Service, and AWS DataSync are applied where they reduce risk and accelerate timelines. Modernization, where the workload warrants it, follows the initial migration rather than running concurrently, which is the approach AWS recommends for large-scale programs.

The 7R Migration Strategy Framework

Every application in your portfolio has a different relationship with the cloud. Treating them all as a lift-and-shift produces an expensive, underperforming cloud environment. We apply the 7R framework to assign the right approach to each workload based on its technical architecture, cost profile, business criticality, and modernization potential. 

Rehost — Move Fast, Optimize Later

Direct lift-and-shift from on-premises or existing cloud to AWS EC2. The fastest path to cloud and the right approach when speed matters more than immediate optimization. Most rehosted workloads become candidates for replatforming or refactoring within 12 to 18 months. 

Relocate — Move the Platform Without Redesigning

Shifts infrastructure without changing how it operates. Particularly effective for VMware-heavy environments where AWS VMware Cloud enables migration without architectural change. 

Replatform — Targeted Optimization Without Full Rebuild

Moves the application to AWS while making targeted changes to improve performance, cost, or compliance without a full architectural redesign. Moving a database to Amazon RDS, containerizing an application, or replacing a middleware component are common replatform patterns that deliver measurable improvements at manageable cost. 

Refactor — Cloud-Native Architecture for High-Value Workloads

Redesigns the application architecture to take full advantage of AWS-native services including Lambda, ECS, API Gateway, DynamoDB, and EventBridge. The most complex and time-consuming strategy but also the one that produces the highest long-term business value, including the 43 percent revenue growth uplift AWS documents for organizations that refactor core applications. 

Repurchase — Replace with SaaS

Replaces an on-premises application with a SaaS equivalent, eliminating infrastructure management overhead entirely. Applied where a well-supported SaaS product meets the business requirement better than maintaining a self-hosted equivalent.

Retain and Retire

Retain keeps workloads on-premises where regulatory, latency, or technical constraints make cloud migration unsuitable. Retire decommissions applications that no longer serve a business need, freeing resources and simplifying the portfolio before migration begins. 

Migrating with AI Readiness Built In

A migration that does not account for AI readiness will require remediation before your organization can use AWS AI services in production. The data architecture decisions made during migration determine whether SageMaker, Bedrock, and AWS AI Services can access the data they need, whether data governance controls meet responsible AI requirements, and whether the infrastructure has the capacity to run AI inference workloads at scale. 

We design AI readiness into the landing zone and data architecture from the start of every migration program. Organizations that follow this approach reach production AI deployment faster and with fewer architectural constraints than those that migrate first and add AI readiness later. 

AWS Credentials That Mean Something to Your Business

Credentials in the AWS partner ecosystem are not simply awarded. They require validated delivery capability, certified personnel, and demonstrated client outcomes reviewed by AWS. Here is what each of our designations means for an organization evaluating an AWS partner. 

Get a Free Cloud Migration Assessment

We inventory your application portfolio, model the AWS total cost of ownership against your current environment, and produce a migration readiness report and wave plan. Four weeks. No obligation. 

PRISM — ‘Platform Readiness and Intelligence Scoring Method’ by Futran Solutions.
‘AWS MAP-funded organizations may qualify for a funded Migration Readiness Assessment.’

Strengthen your data foundation to support scalable, governed AI across your organization

Latest Insights

FAQs

We use continuous replication tools including AWS Application Migration Service for server workloads and AWS Database Migration Service with change data capture for databases. This approach maintains a live replica of your on-premises environment in AWS throughout the migration period. Cutover is a switching event, not a prolonged transition, and can typically be completed within a two-hour maintenance window even for complex workloads. 

Compliance architecture is built into the landing zone before any workload moves. Data residency controls, encryption standards, access governance, and logging configuration are all established in Phase 2 so that workloads migrate into a compliant environment rather than requiring post-migration hardening. For organizations with specific regulatory frameworks including HIPAA, PCI DSS, or financial services data governance requirements, we implement the relevant controls as part of the standard landing zone configuration. 

A successful migration is the start of cloud value realization, not the end of the program. In the 12 to 18 months following migration, organizations that invest in systematic modernization of rehosted workloads, ongoing cost optimization, and progressive AI enablement see significantly higher business returns than those that treat migration as a one-time project. We support this phase through our Well-Architected Review practice and managed services model.