Azure platform engineering

From loose Azure resources to a consistent platform baseline

For Azure environments where subscriptions, VMs, databases, pipelines and access models grew per project and further growth requires increasing coordination.

AKS is not automatically the first step. Better subscription boundaries, identity, Infrastructure as Code and deployment standards may deliver most of the value.

Recognisable signals

  • Resource groups and subscriptions have no consistent purpose
  • Production access and managed identities grew historically
  • Bicep or Terraform covers only part of the estate
  • New environments drift or take too much manual work

What does not need replacing by default

  • Existing IaC that is demonstrably repeatable
  • Azure managed services with a suitable operating profile
  • VMs that remain the simplest reliable runtime
  • Useful Azure DevOps or GitHub Actions pipelines
Azure platform engineering

Possible directions

AKS is not automatically the first step. Better subscription boundaries, identity, Infrastructure as Code and deployment standards may deliver most of the value.

01

Subscription and resource-group model with policies and ownership

02

Identity, networking, secrets and production access as one design

03

Reusable IaC and automated environment provisioning

04

AKS when container workloads, isolation and delivery genuinely require it

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

  • Azure and IaC inventory
  • Target architecture and migration phases
  • Consistent identity and network guardrails
  • Repeatable environment and delivery path
  • Observability, runbooks and operating boundaries

Good fit when

  • Azure differs per team or customer
  • access and ownership are hard to explain
  • growth into more environments requires standards

Less suitable when

  • AKS is mandated as the outcome before analysis
  • identity and networking cannot be included
  • the request is only licence or application administration
Relevant case

Solvinity

Setting up new cloud environments and delivery paths faster and more consistently, so onboarding did not become manual work every time.

View case
FAQ

Frequently asked questions

Is AKS always the next step?

No. App Service, Container Apps, VMs or managed services may be simpler and cheaper to operate.

Can current IaC stay?

Yes, where quality and ownership fit. Discovery determines what stays, standardises or changes.

How do projects stay consistent?

Through an explicit subscription model, reusable modules, policies, fixed delivery paths and drift detection.

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