AWS platform engineering

Professionalise an organically grown AWS environment

For AWS estates that grew per customer or project and still work, but no longer handle structure, security, delivery and operations consistently.

Professionalising does not make existing Terraform or resources worthless. First we identify reliable patterns, manual drift and risks that block growth or audits.

Recognisable signals

  • Resources sit partly outside Terraform
  • Accounts, VPCs and identity use different patterns
  • Secrets, DNS, certificates or backups lack one clear route
  • EKS is being considered before operational fit is clear

What does not need replacing by default

  • Working Terraform that can be safely modularised
  • AWS managed services that fit the workload
  • Existing accounts and resources that can move without a big bang
  • Reliable pipelines and observability signals
AWS platform engineering

Possible directions

Professionalising does not make existing Terraform or resources worthless. First we identify reliable patterns, manual drift and risks that block growth or audits.

01

Account and environment model with explicit ownership

02

Networking, IAM and secrets as consistent guardrails

03

Importing or refactoring resources into repeatable IaC

04

EKS only when orchestration benefits outweigh operating complexity

Approach

From first picture to working improvement

  1. 01

    First conversation

    We establish the situation, fit and whether discovery is the right next step.

  2. 02

    Paid discovery

    We assess workloads, cloud resources, Terraform, delivery, security, state and operations.

  3. 03

    Phased implementation

    Deliverables, effort estimate and budget guardrails stay visible per phase.

  4. 04

    Stabilisation and support

    Go-live is followed by validation, handover and, where useful, bounded support.

Concrete output

  • AWS and Terraform inventory
  • Risk and dependency overview
  • Target model for accounts, identity and networking
  • Phased migration and implementation plan
  • Runbooks, observability and operating agreements

Good fit when

  • AWS has grown differently per project
  • partial Terraform does not provide enough control
  • a new customer, audit or team growth requires standardisation

Less suitable when

  • all resources must be replaced without analysis
  • only application code needs changing
  • no owner is available for cloud and security decisions
Relevant case

Bettr Group

Designing, building and improving secure cloud environments across multiple companies with different levels of maturity and platform needs.

View case
FAQ

Frequently asked questions

Does existing Terraform need replacing?

Usually not in full. Useful modules stay or improve; drift and inconsistent patterns are handled deliberately.

When does EKS fit?

When multiple workloads, isolation, deployment frequency and operational requirements justify orchestration.

Can migration avoid major disruption?

Often yes, through imports, parallel foundations and phased workload migration. Discovery determines the safe order.

First conversation

Discuss your platform situation

Share the broad situation and trigger. The first conversation establishes fit and next step; detailed analysis follows as paid discovery.

Useful context

Do not share sensitive infrastructure details in this form.

  • Current cloud and application landscape
  • Main operational or growth bottleneck
  • Relevant deadline, audit or customer requirement

Plan a first conversation