programmatic

Infrastructure as Code

Infrastructure as Code

Manage cloud infrastructure through versioned, reviewable, repeatable code so environments are easier to reproduce, change, audit, and recover.

Inside the delivery

Infrastructure changes that can be reviewed and reproduced

Inventory resources and identify what will be imported, replaced or left outside code management. The flow below shows the main delivery stages and the evidence produced at each step.

Reference approachAdapted during discovery
  1. 01

    Estate and ownership

    Inventory resources and identify what will be imported, replaced or left outside code management.

    Output

    Resource inventory and adoption plan

  2. 02

    Modules and state

    Define reusable configuration, environment inputs and protected state with clear ownership.

    Output

    Infrastructure modules and state design

  3. 03

    Plan and apply

    Review proposed changes, validate policy and apply through approved credentials and workflows.

    Output

    Change pipeline and policy checks

  4. 04

    Drift and recovery

    Detect unmanaged changes and rehearse recovery of configuration and state where appropriate.

    Output

    Drift response and state recovery runbook

Controls across the workflow

  • Protected state
  • Plan review
  • Scoped credentials
  • Drift detection

Decisions that shape the scope

Can existing infrastructure be brought under code safely?
Often, but adoption needs resource-by-resource review. Importing state does not prove configuration parity; plan outputs and replacement risks must be checked before applying changes.
Terraform, or the cloud provider's native tooling?
Terraform is the common choice for multi-cloud or for teams wanting one language across providers. Native tooling integrates more deeply with a single cloud. Either works; consistency matters more than the choice, and mixing both without a boundary is what causes trouble.

Before you commit

Is this the right engagement?

What we need from you
Cloud inventory, existing configuration, account access, resource owners, environment boundaries and change approval rules.
How you accept the work
Detect unmanaged changes and rehearse recovery of configuration and state where appropriate. Acceptance records the tested scope, unresolved issues and the owner's decision.
Scope & alternatives
Often, but adoption needs resource-by-resource review. Importing state does not prove configuration parity; plan outputs and replacement risks must be checked before applying changes.

Capabilities

Engineering scope and deliverables

Select the work that addresses your constraint. Responsibilities and acceptance criteria are agreed before delivery.

01

Existing-resource adoption

Review resource configuration and import candidates, flagging changes that would replace or disrupt live infrastructure.

02

Reusable infrastructure modules

Create parameterized modules with documented inputs, outputs and environment boundaries rather than copying entire stacks.

03

State and change controls

Configure state access, locking and recovery alongside plan review, policy checks and scoped execution credentials.

04

Drift response

Identify changes made outside the workflow and define when to reconcile configuration, import changes or restore the approved state.

Integrations

Selected for your environment

Tools are chosen around your existing systems, access requirements and operating constraints.

Microsoft Azure
AWS
Docker
Kubernetes
GitHub Actions
Terraform and infrastructure tooling

Frequently asked questions

Questions to resolve before starting

01

Can existing infrastructure be brought under code safely?

Often, but adoption needs resource-by-resource review. Importing state does not prove configuration parity; plan outputs and replacement risks must be checked before applying changes.

02

Terraform, or the cloud provider's native tooling?

Terraform is the common choice for multi-cloud or for teams wanting one language across providers. Native tooling integrates more deeply with a single cloud. Either works; consistency matters more than the choice, and mixing both without a boundary is what causes trouble.

03

Can we adopt this without rebuilding everything?

Yes, and rebuilding is usually the wrong approach. Existing resources can be imported into state so they are managed going forward, which lets you convert incrementally while everything stays running.

04

What stops people making manual changes anyway?

Permissions and drift detection, in that order. If the console is still the fastest route under pressure, it will be used, so the code path has to be both the easier one and the only one with write access.

05

What should we prepare for the first technical discussion?

Cloud inventory, existing configuration, account access, resource owners, environment boundaries and change approval rules.

06

What evidence is available at handover?

The agreed delivery includes drift response and state recovery runbook. Detect unmanaged changes and rehearse recovery of configuration and state where appropriate.

07

How is the engagement estimated?

We review the available inputs before estimating: Cloud inventory, existing configuration, account access, resource owners, environment boundaries and change approval rules. The proposal identifies dependencies, review milestones and excluded work; the scope determines the schedule.

Start a conversation

Discuss your next technical step

Share your current situation and the constraint you need to resolve. We will use the discovery inputs above to define a practical scope for Infrastructure as Code.