AWS cloud transformation

AWS cloud transformation and modernization.

Stand up a well-architected landing zone, migrate onto AWS from on-premises or another cloud, and modernize the workloads that benefit onto EKS, Fargate and serverless. Everything as infrastructure-as-code, with security guardrails and FinOps designed in, so you get a platform your team owns rather than a pile of consoles.

Control Tower landing zone EKS · Fargate · Lambda Terraform · OpenTofu Well-Architected · FinOps
Who this is for

Built for scale-ups and established teams on AWS.

AWS transformation pays off when the foundations are holding the business back: a single account doing everything, permissions no one can reason about, or a bill that grows faster than the traffic. These are the situations where getting the AWS platform right earns its keep, whether you are a fast-growing product company or an established business modernising off older infrastructure.

One account doing everything

Production, staging and experiments share a single AWS account with broad IAM. You need multi-account separation, guardrails and a real landing zone before anything else.

Migrating onto AWS

You are moving from on-premises virtual machines or a data centre, or consolidating from another cloud, and want the destination designed properly rather than lifted blindly.

Modernising legacy workloads

EC2 fleets and hand-managed servers have hit their ceiling. You want containers on EKS, Fargate or serverless where each fits, without a risky rewrite of everything at once.

Governance and audit pressure

Security and compliance need enforced guardrails: SCPs, least-privilege IAM, centralised logging and a baseline you can point an auditor at instead of hoping.

AWS bill outrunning value

Spend is climbing faster than usage, nothing is tagged, and no one can attribute cost to a team or product. You want FinOps built into the platform, not a spreadsheet after the fact.

Preparing for scale and AI

You are heading towards heavier data, event-driven services or model serving, and want AWS foundations that will hold the roadmap rather than buckle under it.

The approach

Foundations first, then migrate, then modernize.

The order matters. We build the landing zone before moving workloads, migrate before rewriting, and modernize only where it pays back. That sequencing keeps risk low: each stage stands on a foundation that already works, and you can stop at any point with a coherent, owned platform rather than a half-finished migration. Recommendations follow the AWS Well-Architected Framework, applied to your workloads rather than a checklist for its own sake.

Principles we hold to on every AWS engagement.

  • A multi-account landing zone with Control Tower and SCP guardrails comes first, so every later change lands inside safe boundaries.
  • Everything is code in your repositories: Terraform or OpenTofu, reviewed and version-controlled, never click-ops in the console.
  • We migrate before we modernize, so workloads reach AWS quickly and rewrites happen deliberately, per workload, where they earn it.
  • Security and least-privilege IAM are designed in from the first account, with GuardDuty and Security Hub watching rather than bolted on later.
  • FinOps is part of the design: tagging, right-sizing and autoscaling so cost is attributable and defensible from day one.
  • No reseller agreements and no partner quota. Advice stays cloud-agnostic and honest about where AWS is and is not the right fit.
What we deliver

What an AWS transformation covers.

Landing zone & org

Multi-account AWS Organizations structure with Control Tower, separated production and non-production accounts, centralised logging and billing, all as code.

Networking & IAM

VPC design, subnets, connectivity and routing, plus least-privilege IAM and service control policies (SCPs) as guardrails across the organisation.

Migration to AWS

Workload inventory, dependency mapping and a waved migration from on-premises or another cloud, with stateful services and data planned separately.

Modernization

Containers on Amazon EKS or Fargate, and serverless with Lambda, API Gateway and EventBridge where the workload fits the model.

Data & messaging

Managed data on RDS or Aurora and S3, and decoupled messaging with SQS, SNS and EventBridge, sized and secured for the workloads that use them.

Security & FinOps

GuardDuty, Security Hub and a hardened baseline, with tagging, right-sizing, autoscaling and budget alerts so cost stays attributable.

AWS transformation is one path within our broader cloud transformation practice. If the destination is Kubernetes specifically, it pairs with EKS consulting and Kubernetes migration, and if you are weighing providers, compare the GCP cloud transformation path.

Process

Our AWS transformation process.

Four phases, sequenced so each stands on solid ground. The architecture review confirms exact scope and timeline before anything moves.

01

Assess & design

Workload inventory, dependencies, statefulness and compliance constraints, reviewed against the Well-Architected pillars into a ranked plan.

02

Landing zone

Multi-account org with Control Tower, VPC networking, IAM and SCP guardrails, logging and billing, all provisioned as infrastructure-as-code.

03

Migrate in waves

Workloads move onto AWS a wave at a time behind the landing zone, with data and stateful services handled explicitly and a tested rollback.

04

Modernize & own

Selective modernization onto EKS, Fargate or serverless, FinOps tuned, then handover with runbooks or an agreed managed operating model.

Tech specifics

The AWS services we actually use.

No reseller agreements and no partner quota. Recommendations follow your workloads and the Well-Architected Framework. Typical building blocks on an AWS transformation:

Foundations

AWS Organizations, Control Tower, multi-account landing zone, VPC networking, IAM and service control policies (SCPs) as enforced guardrails.

Compute

Amazon EKS and Fargate for containers, Lambda and API Gateway for serverless, and EC2 with Auto Scaling where a managed VM fleet still fits best.

Infrastructure as code

Terraform or OpenTofu for accounts, networking and services, with modular, reviewed, version-controlled definitions in your repositories.

Data & messaging

RDS and Aurora for relational data, S3 for object storage, and SQS, SNS and EventBridge for decoupled, event-driven communication.

Observability

CloudWatch for metrics, logs and alarms, extended with Prometheus, Grafana and OpenTelemetry for portable metrics and traces across workloads.

Security & cost

GuardDuty and Security Hub with a least-privilege baseline, plus right-sizing, Spot, and Savings Plans awareness so FinOps is built into the platform.

FAQ

AWS cloud transformation FAQ.

What does AWS cloud transformation involve?

It covers the whole arc from foundations to modernization on AWS. We stand up a well-architected landing zone (a multi-account organisation with Control Tower, VPC networking, IAM and guardrails), migrate existing workloads onto AWS, and then modernize the ones that benefit, moving to EKS, Fargate or serverless where each fits. Alongside that we wire in infrastructure-as-code, observability, a security baseline and FinOps so the estate is defensible on cost, reliability and compliance rather than just running.

What is an AWS landing zone and do we need one?

A landing zone is the account and network foundation everything else sits on: a multi-account AWS Organizations structure, Control Tower for governance, separated production and non-production accounts, VPC and connectivity design, centralised IAM and service control policies (SCPs) as guardrails, and logging and billing set up from the start. If you are running everything in one account with broad permissions, a landing zone is usually the highest-value first step, because it makes every later migration and modernization safer and easier to reason about.

How do you modernize workloads on AWS?

Per workload, not wholesale. Containerised services that need orchestration move to Amazon EKS, or to Fargate when we want to avoid managing nodes. Event-driven or spiky workloads that fit an event model go to serverless with Lambda, API Gateway and EventBridge. Data moves to managed services such as RDS or Aurora and S3, and messaging to SQS, SNS or EventBridge. We only modernize where it pays back in reliability, cost or delivery speed, and we lift-and-shift the rest first so the migration is not blocked on rewrites.

How do you control AWS costs?

FinOps is designed in, not bolted on. We right-size compute and storage against real utilisation, use autoscaling so you pay for load rather than peak, and lean on Spot capacity for fault-tolerant and batch workloads. We make you aware of commitment options such as Savings Plans and Reserved Instances so finance can decide with the numbers in front of them, tag and split accounts so spend is attributable per team or product, and wire cost and budget alerts into the same observability stack as everything else. We quote approach, not prices.

Can you migrate us to AWS from another cloud or on-prem?

Yes. Common starting points are on-premises virtual machines and data centres, and workloads on another cloud that need to move for consolidation, cost or capability reasons. We inventory the estate, map dependencies and statefulness, then migrate in waves behind the landing zone, keeping data stores and stateful services planned separately with backups and a tested rollback. Everything lands as infrastructure-as-code, so the result is a platform your team owns rather than a one-off lift.

Planning a move to AWS?

Start with the readiness scorecard, or book a free 30-minute architecture call. A senior engineer reviews your workloads and returns a ranked plan for the landing zone, migration and modernization.