Infrastructure & Deployment
Infrastructure provisioned by hand is infrastructure that drifts. We deliver Terraform-first infrastructure for Azure and SAP BTP — modular, version-controlled, and driven through CI/CD pipelines with mandatory approval gates before production changes. Every resource is declared in code, every change is reviewed in a PR, and every team we work with leaves with the knowledge to run and extend the platform independently.
How Terraform-Driven Infrastructure Works
Terraform treats infrastructure as declarative configuration — you describe the desired state, Terraform computes the difference from the current state and applies only the changes needed. Every resource is tracked in remote state, every change is a code review, and every environment is a variant of the same module library. The result is infrastructure that is reproducible by construction: spinning up a new environment is running terraform apply with a different variable file, not copying a server and hoping it matches.
The plan is the key artefact. Every PR generates a Terraform plan and posts it as a comment — reviewers see exactly what will change in the target environment before they approve. Production changes require an explicit approval on the plan before terraform apply runs. No surprises, no accidental deletions.
Environment Promotion Model
Infrastructure changes follow the same promotion model as application code — validated in development, promoted to QA, then gated into production with an explicit approval. Each environment shares the same module library with environment-specific variable overrides.
Changes merged to the main branch are automatically applied to development and QA environments without an additional approval step. This keeps lower environments current and allows the team to iterate quickly. VM sizes, replication factors, and retention periods are reduced in dev/qas variable files to control cost while maintaining structural parity with production.
- Auto-apply on merge — no manual approval required
- Reduced VM sizes and storage tiers for cost control
- Structural parity with production — same modules, different variables
- Plan result visible in PR comment within minutes of opening
Production Terraform applies require an explicit approval from a designated reviewer who has read and accepted the plan output. The approval gate is enforced at the pipeline level — not by policy or convention — so it cannot be bypassed without modifying the pipeline itself. Only changes already validated in QA are promoted to production.
- Mandatory plan review before apply — enforced in pipeline
- Designated approvers via GitHub Environment protection rules
- Apply only after QA validation is confirmed
- State lock prevents concurrent applies during rollout
Core Capabilities
What We Deliver
Terraform Module Library
A library of reusable, documented Terraform modules covering your infrastructure scope — networking, compute, storage, identity, and SAP BTP resources. Each module has validated input variables, typed outputs, and usage examples. Module library is structured for extension: adding a new resource type means adding a module, not editing existing ones. Delivered in your GitHub repository under a conventional directory structure.
Remote State Backend & Locking
Azure Storage Account provisioned as the Terraform state backend — blob versioning and soft delete enabled for state recovery. State locking via blob lease prevents concurrent applies. Per-environment state isolation via separate storage containers. RBAC-governed access: pipeline service principal and designated engineers only. State migration procedures documented for bootstrapping and disaster recovery.
Multi-Environment Variable Configuration
Environment-specific variable files (dev.tfvars, qas.tfvars, prod.tfvars) sharing the same module library. Variable definitions cover all environment differences — VM sizes, replication counts, retention periods, and feature flags. Variable validation rules ensure invalid combinations are caught at plan time. Sensitive variable values sourced from Azure Key Vault — no secrets checked into git.
GitHub Actions Pipelines with Approval Gates
PR pipeline: terraform fmt, validate, and plan — plan output posted as a PR comment so reviewers see the exact diff. Merge pipeline: auto-apply to dev, plan-only to qas pending validation. Production pipeline: plan posted for approval, apply only after an explicit reviewer sign-off via GitHub Environments. OIDC Workload Identity Federation — no client secrets in GitHub Actions secrets.
Security Baseline — RBAC & Key Vault
Pipeline service principal scoped to minimum required permissions at the resource group level. Azure Key Vault provisioned for all application secrets — connection strings, API keys, certificates. RBAC assignments for the pipeline principal and application managed identities at the appropriate scope. No hardcoded credentials in Terraform state or pipeline variables. Secret rotation procedures documented and tested.
Documentation & Team Enablement
Module reference documentation generated from Terraform variable and output definitions. Runbooks for all common operations: adding a new resource, promoting a change to production, recovering from a failed apply, importing an existing resource into state, and running a state migration. Live walkthrough with your team covering the module structure, pipeline workflow, and how to extend the codebase for new requirements.
How Customers Benefit
terraform apply with a different variable file — not cloning a server and hoping it matches. Infrastructure differences between environments are explicit in the variable files, not hidden in undocumented manual steps.How We Work
IaC Assessment & Module Design
We review your existing infrastructure — whether managed manually, via scripts, or with an existing IaC approach — and identify the full resource scope to bring under Terraform management. Module boundaries, variable strategy, environment promotion model, and state organisation agreed before any code is written.
State Backend & Security Foundation
Azure Storage Account provisioned as the remote state backend with versioning, soft delete, and per-environment isolation. Pipeline service principal created with OIDC Workload Identity Federation configured in GitHub. Azure Key Vault provisioned for secrets. RBAC assignments scoped to minimum required permissions. Bootstrap state for the state backend itself committed to the repository.
Module Development & Existing Resource Import
Terraform modules built for all resources in scope — networking, compute, storage, identity, SAP BTP. Existing resources imported into Terraform state so they are managed going forward without recreation. Variable files for dev, qas, and prod populated and validated. Module documentation generated from variable and output definitions.
Pipeline Integration & Approval Workflow
GitHub Actions workflows configured: PR pipeline (fmt, validate, plan as PR comment), merge pipeline (auto-apply to dev), and production pipeline (plan + approval gate + apply). GitHub Environments configured with required reviewers for production. First end-to-end run validated — PR opened, plan reviewed, merged, dev auto-applied, prod approved and applied.
Validation & Drift Check
All environments validated post-apply — resources match declarations, no configuration drift detected. Terraform plan run against each environment confirming no unintended changes pending. Failover and recovery scenarios tested where applicable. Monitoring and alerting for pipeline failures configured.
Handover & Team Enablement
Module reference documentation delivered alongside the codebase. Runbooks written for all common operations: adding a resource, promoting to production, recovering from a failed apply, importing an unmanaged resource, and running a state migration. Live walkthrough with your engineering team covering module structure, pipeline workflow, Key Vault secret management, and how to extend the library for new requirements.
Ready to put your infrastructure under control?
Let’s build your Terraform foundation — reviewed, gated, and owned by your team.
Tell us about your current infrastructure scope, target platforms, and team structure — we’ll design and deliver a Terraform platform your engineers can run and extend independently from day one.
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