Infrastructure as code with Terraform
Landing zones are defined as reusable Terraform modules so compliant environments are provisioned from code.
Cloud Foundation | Multi-Cloud
Every new environment was a snowflake. We made them reproducible.
Reusable Terraform-based landing zones standardized governance, identity, networking and logging across Azure, AWS and Google Cloud.
Project brief
One cloud base that every team reuses, so new setups are quick and stay in line.
Reusable Terraform-based landing zones standardized governance, identity, networking and logging across Azure, AWS and Google Cloud.
01 | Challenge
The operating problem.
As the organization grew across Azure, AWS and Google Cloud, every new environment was set up slightly differently.
Networking, identity, logging and governance were configured by hand, team by team, creating inconsistency and environment drift.
Provisioning a new compliant environment was slow, and no one could guarantee that two environments were configured the same way.
02 | Delivery approach
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How the solution was delivered.
Centralized networking
Consistent network topology, segmentation and connectivity patterns are baked into every environment.
Standardized identity
Identity and access foundations follow a known model across clouds instead of per-team improvisation.
Built-in logging and observability
Centralized logging is part of the foundation so every environment is auditable from day one.
Governance and policy as code
Guardrails are codified so environments stay within policy automatically, reducing drift over time.
Architecture
How the same landing zone foundation reaches every cloud.
The architecture view summarizes how one Terraform-defined foundation provisions consistent networking, identity, logging and governance across Azure, AWS and Google Cloud.
Metrics
Published indicators
Where public numeric metrics are not approved, indicators are shared as operating signals.
3 clouds
Cloud scope
Terraform
Delivery model
Policy as code
Governance
03 | Outcome
Production impact with client confidentiality protected.
Published outcomes remain qualitative unless client-approved metrics are available for public use.
Tech stack
Platforms and controls used in the engagement.
Terraform
Microsoft Azure
Amazon Web Services
Google Cloud
Centralized networking
Identity foundations
Centralized logging
Policy and governance as code
Cloud Services
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