Infrastructure as Code: Terraform on Azure

If manual Azure changes are creating drift or inconsistent environments, we bring new or existing infrastructure under Terraform with modules, remote state, RBAC and reviewable pipelines.

Tell us your situation Answer a few quick questions. No technical knowledge required.
DevOps & IaC

WE CAN HELP IF

Creating a staging environment in Azure takes days and is never identical to production.
Nobody knows who, when, or why a firewall configuration was changed in Azure.
You want to start using Infrastructure as Code (IaC) but the team lacks Terraform expertise.
The current Terraform code is an unmanageable "spaghetti" of coupled modules.

Terraform for new and brownfield Azure environments

This is not a Terraform tutorial. We design a maintainable way to use AzureRM, repositories, modules, state and pipelines so infrastructure changes are reviewable, reproducible and recoverable.

Structure and standards

We separate dev, staging and production, and define modules, provider versions, naming, tagging and ownership without abstractions nobody can maintain.

State, identity and secrets

We configure an Azure Storage backend, locking where applicable, RBAC, Managed Identities and Key Vault. Pipelines do not depend on secrets copied into personal variables.

Azure network and services

We model VNets, subnets, NSGs, private endpoints, AKS and Azure Policy with clear module interfaces and reviewable security decisions.

Plan, apply and drift

GitHub Actions or Azure DevOps run validation and plan on pull requests; apply follows agreed approvals. For existing infrastructure, we inventory imports and drift before taking ownership.

OUR APPROACH

WHAT WE EXACTLY DO

01

AzureRM design

We structure repositories, providers and modules with versions, interfaces and ownership the team can understand.

02

Azure standards

We apply naming, tagging and patterns for VNets, subnets, NSGs, private endpoints, Key Vault, AKS and Azure Policy.

03

CI/CD automation

We run validation and terraform plan on pull requests; apply follows agreed approvals in Azure DevOps or GitHub Actions.

SERVICE SCOPE

WHAT OUR WORK INCLUDES

01

Remote state

Azure Storage backend, environment separation, RBAC access and locking where applicable.

02

Identity and secrets

Managed Identities, Key Vault and least-privilege permissions to avoid long-lived credentials in repositories or pipelines.

03

Brownfield, imports and drift

We inventory manually created infrastructure, plan imports and resolve differences before Terraform manages existing resources.

OUTCOMES

WHAT IT BRINGS TO THE TEAM AND BUSINESS

Reproducible infrastructure with decisions and exceptions documented alongside the code.

Fewer unexplained differences between development, staging and production.

Traceable changes through pull requests, reviewed plans and agreed approvals.

HOW IT WORKS

HOW TO START AND WHAT TO EXPECT

1

Repository design

We define environment separation, modules, state and versioning strategy.

2

Coding (DRY)

We create the code avoiding unnecessary repetitions.

3

IaC Pipelines

We integrate execution into your favorite CI/CD tool.

4

Training

We teach your team HCL and Terraform best practices.

WHAT YOU GET

CLEAR DELIVERABLES

  • Git Repository containing all Infrastructure as Code.
  • Configured validation and deployment pipelines.
  • Internal conventions guide for Terraform.

FREQUENTLY ASKED QUESTIONS

Do you use Terraform or Bicep?+

We are experts in both. Terraform is ideal for multi-cloud, while Bicep is fantastic if the ecosystem is 100% native Azure. We recommend based on context.

Is it possible to move my manual environment to code without breaking anything?+

Existing infrastructure can be adopted progressively. We first inventory resources, dependencies and drift, then test imports and plans before authorising changes. We do not assume zero risk or apply everything at once.

LET’S TALK ABOUT YOUR SITUATION

Tell us the context simply. We will explain whether this service fits, what must be reviewed and the smallest useful starting point.

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