Netofficials builds production-ready Terraform codebases that give engineering teams version-controlled, repeatable cloud infrastructure across AWS, Azure and Google Cloud Platform — with full code ownership transferred at handoff.
Service Overview
Terraform infrastructure as code services cover the design, development, testing and ongoing management of cloud infrastructure defined in HashiCorp Configuration Language (HCL). Instead of clicking through cloud consoles or running ad-hoc scripts, every resource — networks, compute, databases, IAM policies — is declared in version-controlled Terraform files, applied through a repeatable plan-and-apply cycle, and tracked in a remote state backend.
Manual provisioning creates three compounding problems: configuration drift between environments, no audit trail for infrastructure changes, and slow release cycles when developers wait for ops teams to hand-build resources. Terraform addresses all three. A change goes through a pull request, a terraform plan output shows exactly what will change, and terraform apply executes it. That workflow integrates directly into DevOps and CI/CD pipeline automation using tools such as Atlantis or Terraform Cloud, so infrastructure changes follow the same review process as application code.
Netofficials approaches each engagement by first auditing existing cloud resources on AWS, Azure or Google Cloud Platform, then designing reusable Terraform modules, migrating live resources into managed state, and wiring the codebase into your existing pipelines. Multi-cloud and hybrid scenarios — where workloads span two providers or a private data centre — are supported through provider composition and Terraform workspaces. For teams that also need broader cloud cost, security and architecture consulting, that work can run in parallel with the IaC build.
What We Deliver
Netofficials builds a structured library of HCL modules organised by environment (dev, staging, production) and workload type. Each module is versioned, documented and tested so your team can provision consistent infrastructure across AWS, Azure or GCP without rewriting configuration for every new service or team.
We configure a secure remote state backend using S3, Azure Blob Storage, Google Cloud Storage or Terraform Cloud, with state locking and encryption enabled. This prevents concurrent apply conflicts, protects sensitive outputs and gives every environment its own isolated state file that your team owns and controls.
We wire Terraform plan and apply workflows into your existing CI/CD toolchain using Atlantis or native VCS triggers from GitHub, GitLab or Bitbucket. Pull-request-based approvals gate every infrastructure change, creating an auditable record of who approved what and when across all environments.
We implement Sentinel or Open Policy Agent rules that enforce mandatory resource tagging, approved deployment regions and cost-control thresholds before any apply runs. Policies are stored in version control alongside your Terraform code so compliance requirements are auditable and consistent across every workspace and team.
Our Process
Netofficials reviews your existing AWS, Azure or GCP resources, identifies manually provisioned infrastructure, and maps dependencies between services. Your DevOps lead or platform engineer joins scoping calls to confirm environment boundaries. You receive a written audit report and an agreed target module structure before any code is written.
The team defines your Terraform workspace strategy, remote state backend topology, naming conventions, and branching model. Decisions about Terragrunt layering, Sentinel or Open Policy Agent policies, and environment promotion rules are documented. You receive a design specification your engineers can review and approve before build begins.
Netofficials writes HCL modules, peer-reviews every pull request against the agreed standards, and imports existing cloud resources into Terraform state. Automated tests validate module outputs before merge. You receive a versioned, peer-reviewed codebase stored in your own repository with full commit history.
Terraform runs are wired into your existing CI/CD pipeline using Atlantis, Terraform Cloud, or your preferred runner. Drift detection alerts are configured so your team is notified when actual cloud state diverges from planned state. You receive runbooks covering pipeline configuration, approval gates, and alert response procedures.
Technology Stack
Terraform CLITerraform CloudTerraform Enterprise
AWS S3 with DynamoDB locking
Azure Blob Storage
Google Cloud StorageAWS providerAzure provider
GCP provider
Kubernetes providerFAQ
Cost depends on the number of cloud accounts in scope, the volume of existing resources to import, the number of environments (development, staging, production), compliance requirements such as PCI-DSS or SOC 2, and whether policy-as-code tooling like Sentinel or Open Policy Agent (OPA) is needed. Engagements that start from a blank-slate greenfield build typically cost less than those requiring full import of a large manually provisioned estate. See how Netofficials structures engagements.
Timeline depends on the size of the existing estate, how consistently resources were provisioned, and how much time your team can allocate to knowledge-transfer sessions. A small estate with a few dozen resources and clear naming conventions moves faster than hundreds of ad-hoc resources spread across multiple AWS, Azure or GCP accounts. Netofficials maps all resources before writing a single import block, so scope is agreed before work begins.
Yes. All HCL modules, variable files, state configuration and supporting documentation transfer fully to you at engagement close. Netofficials does not retain copies of your state files or code. You receive a handover package that includes module documentation, a remote state backend configuration, and a runbook so your team can operate the codebase independently. Read how Netofficials handles delivery and handover.
Netofficials configures a remote state backend (S3 with DynamoDB locking on AWS, Azure Blob Storage, or GCS) with encryption at rest, strict IAM access controls, and state locking to prevent concurrent modifications. Each environment gets an isolated state file. Where teams use Terraform Cloud or Terraform Enterprise, workspace-level permissions and audit logs provide an additional access-control layer. Learn about our DevOps and CI/CD pipeline automation.
