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
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.
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.
Account and environment model with explicit ownership
Networking, IAM and secrets as consistent guardrails
Importing or refactoring resources into repeatable IaC
EKS only when orchestration benefits outweigh operating complexity
Approach
From first picture to working improvement
- 01No-obligation and high-level
First platform conversation
We establish the situation, fit and whether Platform Discovery is the right next step.
A focused first exploration - 02Paid assessment
Platform Discovery
We assess workloads, cloud resources, Terraform, delivery, security, state and operations.
Substantiated scope and estimate - 03Fixed or phased
Implementation
Deliverables, effort estimate and budget guardrails stay visible per phase.
Build on confirmed choices - 04After go-live
Stabilisation
Go-live is followed by validation, documentation and controlled handover.
From delivery to control - 05Structural continuity
Platform Support
Bounded maintenance and support follow only within explicit agreements.
Clear coverage and agreements
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.
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 platform conversation
Discuss your platform situation
Share the broad situation and trigger. The first platform conversation establishes fit and next step; detailed analysis follows as paid Platform 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