AWS Cloud · Cloud foundations

AWS Cloud Engineering

Design, migrate and modernise on AWS with the security, automation and observability that production workloads require.

What usually brings people here

Cloud estates tend to accumulate rather than get designed. Accounts multiply, networking becomes hard to reason about, environments drift apart, and nobody is confident about what a change will break.

How we approach it

We start from the workloads and the constraints around them — compliance, latency, data residency, team shape — and design a landing zone and target architecture that a small team can actually operate. Everything is expressed as code so environments can be rebuilt rather than repaired.

Migration path

  1. 1

    Discover

    Workloads and dependencies

  2. 2

    Assess

    Right-size and sequence waves

  3. 3

    Landing zone

    Accounts, identity, network

  4. 4

    Migrate wave

    Data replicated, not copied blind

  5. 5

    Validate and cut over

    Weighted traffic, rollback ready

  6. 6

    Operate

    Runbooks and handover

Waves rather than a single cutover, each with a verified position to roll back to.

Architecture and landing zones

A multi-account foundation with identity, networking, logging and guardrails in place before workloads arrive.

  • Current-state assessment and target architecture
  • Multi-account structure with AWS Organizations and Control Tower
  • Network design, connectivity and identity model
  • Architecture decision records so choices stay explainable

Cloud migration

Migration planning that treats cutover as an engineering problem with a rollback path, not an event to be survived.

  • Workload discovery, dependency mapping and right-sizing
  • Migration wave planning and sequencing
  • Database and data migration with validation
  • Cutover runbooks, rollback strategy and operational handover

Application modernisation

Incremental modernisation using the strangler pattern, so value lands continuously rather than at the end of a long programme.

  • Containerisation on Amazon ECS, AWS Fargate or Amazon EKS
  • Serverless refactors where the workload shape suits it
  • Database modernisation and managed-service adoption
  • Re-platforming and refactoring sequenced by risk

Infrastructure as Code

Environments that are defined, reviewed and rebuilt from source rather than adjusted by hand.

  • Terraform, AWS CDK or CloudFormation, matched to your team
  • Reusable modules and environment promotion
  • Drift detection and automated remediation
  • Policy as code for preventative guardrails

What you receive

  • Assessment report with prioritised findings and effort estimates
  • Target architecture and architecture decision records
  • Landing zone provisioned as Infrastructure as Code
  • Migration or modernisation plan with wave sequencing
  • Runbooks, documentation and team handover

What should change

  • Environments that can be rebuilt from source
  • Fewer incidents caused by configuration drift
  • A cloud estate that new engineers can understand quickly
  • A foundation that AI and data workloads can safely sit on

AWS services we commonly use

  • AWS Organizations
  • AWS Control Tower
  • Amazon EKS
  • Amazon ECS and AWS Fargate
  • AWS Lambda
  • Amazon API Gateway
  • Amazon CloudFront
  • AWS CloudFormation and AWS CDK

Talk this through with an engineer

Thirty minutes is usually enough to establish whether this is the right service for your situation.

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