AWS Cloud Migration Services

AWS Migration Services

Moving to AWS is a decision most organisations get to eventually. On-premises hardware ages, software licences compound, and the team maintaining it grows without adding product value. AWS gives you elastic compute, managed databases, serverless execution, and global distribution, but only if the migration is planned and executed without disrupting the business that depends on those systems today.
We migrate businesses to AWS: EC2, RDS, Aurora, S3, Lambda, ECS, and EKS. From a cloud readiness assessment that maps every dependency, through phased migration and cutover, to post-migration cost optimisation that prevents your AWS bill from exceeding what you spent on-prem.

  • Cloud readiness assessment that maps every application dependency and identifies what migrates as-is versus what needs re-platforming first

  • Phased migration execution that keeps your business running during the transition, no extended maintenance windows

  • Infrastructure-as-code with Terraform so your AWS environment is reproducible, auditable, and not a black box

  • Post-migration cost optimisation including right-sizing, reserved instances, and auto-scaling to keep AWS spend lower than your on-prem equivalent

Recent outcomes

Voice AI · Research

6× deeper insights

Text-based interviews converted to automated phone calls

AI Automation · Ops

20k+ txns day one

Manual invoice OCR across 40+ gas stations

Loyalty · Retail

1,062 users in 4 weeks

SuperValu & Centra loyalty platform with receipt validation

SaaS · Logistics

2,000+ shipments yr 1

Multi-carrier shipping hub for Indonesian eCommerce

4.9
on Clutch
See our work

The problem

Sound familiar?

  • Hardware refresh coming up and the capital expenditure hard to justify for infrastructure that is already limiting what you can build?

  • AWS bill arrived post-migration and it is higher than expected because the environment was never tuned for cloud economics?

Short answer

RaftLabs migrates businesses to Amazon Web Services: lift-and-shift to EC2, re-platforming to ECS and Lambda, and database migration to RDS and Aurora, all defined in Terraform. Every migration starts with a cloud readiness assessment and a phased cutover with a rollback plan. A focused first migration starts at $20,000 to $45,000; multi-application programs run $80,000 or more at fixed price.

Key takeaways

  • A focused first migration (one application or a small cluster) starts at $20,000 to $45,000 at fixed price
  • Multi-application programs with legacy dependencies and multi-region requirements grow to $80,000 or more
  • Every migration begins with a cloud readiness assessment that maps every application dependency before any resource is provisioned
  • We size each workload with the 6 Rs (rehost, replatform, repurchase, refactor, retire, retain) rather than lifting everything as-is
  • Phased cutover keeps systems running throughout the transition, with a documented rollback runbook if validation fails
  • All AWS infrastructure is defined in Terraform on an AWS landing zone, so environments are reproducible, auditable, and version-controlled
  • Post-migration FinOps keeps AWS spend below the on-prem equivalent; Flexera puts average wasted cloud spend at 27%

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AWS is not a destination you reach and stop thinking about. It is an environment you design, migrate into, and then optimise continuously as you understand your real usage patterns. The first bill after migration often surprises teams who mapped their on-prem capacity directly to cloud instance sizes without adjusting for the different cost model.

Getting the migration right means getting the assessment right first. Application dependency mapping, database sizing, network architecture, security requirements, and cost modelling, all of it before a single resource is provisioned. The migration that avoids mid-project surprises is the one that already knows where they would have come from.

The pressure to move is real, but so is the cost of moving badly. Most cloud overspend comes from lifting on-prem sizing straight into cloud instances and never tuning it. The industry numbers say the same thing.

27%
of cloud spend wasted on average
Flexera State of the Cloud, 2025
45%
of firms use AWS Reserved Instances to cut spend
Flexera State of the Cloud, 2025
75%
of enterprise workloads in cloud or edge by 2028
Gartner, 2024

For businesses still running on-premises, the window to migrate on your own terms, rather than under pressure from aging hardware or compounding licence costs, is narrowing. We plan for both sides of that: the move itself, and the FinOps discipline that keeps the first bill from becoming the reason you regret it.

Capabilities

What we build

  • 01
    AWS lift-and-shift migration

    Lift-and-shift migration from on-premises servers to AWS, with instance types sized on actual CPU and memory utilisation rather than peak theoretical load. It gets you off physical hardware without requiring an application rewrite first.

    Built with
    EC2 · AMI · Auto-scaling groups · Load balancers · Security groups
  • 02
    Application re-platforming to ECS and Lambda

    Re-platforming applications to containers and serverless where the cost-benefit of re-architecture is clear, so a function that processes a file and exits costs nothing while idle rather than charging around the clock. The result is lower operational overhead and ongoing cost without a full application rewrite.

    Built with
    Docker · ECS Fargate · Lambda · Fargate Spot
  • 03
    Database migration to RDS and Aurora

    Managed database migration from on-premises servers, with continuous replication during the migration window to minimise downtime and schema validation before and after cutover. The database arrives in AWS with the same data, better availability, and lower operational overhead than the on-prem equivalent it replaced.

    Built with
    RDS · Aurora · AWS DMS · PostgreSQL · MySQL · MSSQL
  • 04
    Infrastructure-as-code with Terraform

    All AWS infrastructure defined in version-controlled code, never manual console clicks that cannot be reviewed, versioned, or reproduced. Your team inherits an environment they can read, modify, and recreate rather than a manually configured system only one person understands.

    Built with
    Terraform · VPC · IAM · S3 · CloudFront · DynamoDB
  • 05
    Multi-region and high availability architecture

    AWS architecture designed for the availability your business actually needs, from multi-AZ deployments that remove single points of failure to multi-region failover for strict uptime requirements. It matches your real SLA rather than over-engineering for theoretical scenarios.

    Built with
    Multi-AZ · Route 53 · RDS · ElastiCache · ALB · S3
  • 06
    AWS cost optimisation post-migration

    Post-migration cost analysis that keeps the AWS bill below what you spent on-prem, driving right-sizing from real utilisation data and reserved-capacity purchasing on stable workloads. This is where the 27% of cloud spend Flexera says most teams waste gets clawed back, not left to compound on the invoice.

    Built with
    CloudWatch · Reserved Instances · Savings Plans · S3 lifecycle policies · Cost Anomaly Detection

How we size the move: the 6 Rs

Not every workload wants the same treatment. The assessment sorts each application into one of the six migration strategies AWS uses, so the plan matches the workload instead of lifting everything as-is.

Rehost
Lift-and-shift onto EC2. The fastest exit from on-prem when the app is stable and cloud optimisation can wait for a later phase.
Replatform
Small optimisations during the move: a self-managed database onto RDS or Aurora, a cron job onto Lambda, without rewriting the application.
Repurchase
Drop a self-hosted tool for a managed or SaaS equivalent when maintaining it in-house no longer pays.
Refactor
Re-architect for cloud-native services. The highest cost and risk, reserved for workloads where the payoff is clear and measured.
Retire
Decommission workloads nobody uses. The dependency map almost always finds a few that quietly kept running.
Retain
Leave a workload on-prem for now when latency, licensing, or a compliance boundary says the move should wait.

Migration readiness checklist

Before we quote a fixed price, the assessment answers each of these. If a line is blank, that is where the risk lives.

What the assessment confirms before cutover

  • Application dependency map: every service, database, and integration documented before any resource is provisioned
  • AWS landing zone: accounts, VPCs, IAM, and guardrails stood up before workloads land, not retrofitted after
  • Well-Architected review: the target design checked against the AWS Well-Architected pillars for security, reliability, and cost before go-live
  • Data migration method: dump-and-restore for a maintenance window, or AWS DMS change-data-capture for a near-zero-downtime cutover
  • Cutover runbook: a documented sequence with validation gates, rehearsed in a staging environment that mirrors production
  • Rollback plan: defined rollback steps if automated validation fails, so the cutover never runs on hope
  • FinOps baseline: right-sizing targets, reserved-capacity candidates, and S3 lifecycle policies scoped so the first bill holds no surprises

We migrate one application first to prove the pattern, validate the runbook, and confirm the cost model. Then we expand across the rest of the estate on the same rails.

When is your next hardware refresh due, and what does it cost compared to the AWS equivalent?

Bring us your current infrastructure details. We will assess the migration scope, map the dependencies, and give you an honest cost and timeline before you commit.

What clients say

What our clients say

Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

Charles E.
Charles E.
USA flagUSA
Entrepreneur at Aggie Technologies

All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!

Stay on topic

More on legacy modernization

Frequently asked questions

Lift-and-shift (rehosting) is the right approach when your goal is to get off on-premises infrastructure quickly, the application is stable and not cloud-optimised, and the operational benefits of cloud (no hardware to manage, easier backups, faster provisioning) are the primary driver. It is lower cost and lower risk than re-platforming. The application runs on EC2 instead of a physical server. Re-platforming makes sense when the application is a good fit for managed services: a stateless web application that would run more cheaply on ECS or Lambda, a database that benefits from Aurora over self-managed MySQL, or a scheduled job that should be a Lambda function rather than a cron on an EC2 instance. For most migrations, we recommend a phased approach: lift-and-shift first to exit on-prem, then re-platform specific components where the cost-benefit is clear and the risk of re-architecture is manageable.

Data migration is the highest-risk part of any AWS migration. Our approach: assessment first, we document every database, its size, schema, relationships, and data quality issues before any migration work begins. We select the migration method based on the database type and acceptable downtime: dump-and-restore for databases that can tolerate a maintenance window, CDC replication (using AWS DMS or native replication) for databases that need near-zero downtime cutover. All migrations are tested in a staging environment that mirrors production before the live cutover. Automated validation compares row counts, checksums, and data samples between source and destination. The production cutover follows a documented runbook with defined rollback steps. We do not declare migration complete until automated validation passes.

The most common AWS services in our migration work: EC2 for lift-and-shift compute, ECS or EKS for containerised application workloads, RDS for managed relational databases (PostgreSQL, MySQL, MSSQL), Aurora for higher-throughput relational workloads, S3 for object storage and static assets, Lambda for scheduled jobs and event-driven workloads that fit the serverless execution model, CloudFront for CDN and edge delivery, ALB for load balancing, VPC with public and private subnets for network isolation, IAM for access control, Secrets Manager for credential management, and CloudWatch for monitoring and alerting. Terraform is the infrastructure-as-code tool we use to define and deploy all AWS resources so your environment is reproducible and version-controlled from day one.

A focused first migration, one application or a small cluster of related services, starts at $20,000 to $45,000 at fixed price. This covers the assessment, migration execution, infrastructure-as-code delivery, and post-migration validation. Multi-application programs with legacy dependencies, large database migrations, and multi-region architecture requirements grow to $80,000 or more. The assessment engagement that precedes the quote is what makes a fixed price possible: we price on what we find, not what we assume. Post-migration FinOps is scoped separately and keeps AWS spend below the on-prem equivalent you left behind.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope AWS Migration Services in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • 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.