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Cloud foundation

The foundation everything else stands on. Get it right once.

A landing zone is the pre-built, governed foundation your workloads land on — identity, networking, logging, policy, all defined as code. Build it properly and every future environment is secure and consistent by default. Skip it and you spend the next two years fixing drift. We build reusable landing zones you can reproduce on demand.

Discuss Cloud Landing Zones
Architecture
flowchart TB
    MG[Management and Policy as Code]
    subgraph LZ[Reusable Landing Zone]
      IDN[Identity Baseline]
      NET[Network Baseline]
      LOG[Central Logging]
      SEC[Security Baseline]
    end
    MG --> LZ
    LZ --> AZ[Azure Workloads]
    LZ --> AWS[AWS Workloads]
    LZ --> GCP[GCP Workloads]
Business challenges

Cloud Landing Zones challenges we solve.

Every recommendation starts with business pressure, technical risk and the operating model required after launch.

01

Inconsistent environments

Each new environment is built by hand, so identity, networking and logging vary every time.

02

No policy guardrails

Nothing stops a team from provisioning outside agreed security or cost boundaries.

03

Untraceable changes

Infrastructure changes are not logged or attributed to a specific change or owner.

Solution overview

Cloud Landing Zones designed for production readiness.

Build it properly and every future environment is secure and consistent by default. Skip it and you spend the next two years fixing drift. We build reusable landing zones you can reproduce on demand.

01

Identity baseline

A consistent identity and access model every environment inherits by default.

02

Network topology

Segmentation and connectivity patterns baked into the foundation, not bolted on.

03

Policy guardrails

Policy as code enforces boundaries automatically as new environments launch.

04

Logging foundation

Centralized logging from day one, so every environment is auditable.

Architecture model

A practical delivery architecture before implementation begins.

We define the target operating model, controls, integration points and ownership path before building, so the solution can be supported after launch.

CloudevTech Enterprise delivery model
01 Discover
02 Architect
03 Implement
04 Validate
05 Operate
Our approach

Structured delivery from discovery to operational handover.

Every engagement is shaped around the service goal, current constraints and the operating model your team needs after launch.

01

Define the operating model

Agree on identity, networking, policy and logging standards upfront.

02

Build the foundation

Implement the landing zone as reusable Terraform modules.

03

Apply guardrails

Enforce policy as code so provisioning stays within agreed boundaries.

04

Extend to new environments

Reuse the foundation so every new environment starts from the same baseline.

Business benefits

Outcomes designed for decision makers and delivery teams.

Benefits are framed around measurable improvement, operating confidence and reduced delivery risk.

01

Repeatable environments

New environments launch from the same identity, network and logging baseline every time.

02

Enforced guardrails

Policy as code blocks provisioning that falls outside agreed boundaries.

03

Traceable infrastructure

Centralized logging ties every change back to its source.

Technology stack

Implemented with proven platforms and tools.

Technology choices are confirmed during discovery, with a preference for reliable, maintainable platforms your team can support.

Azure Landing Zones AWS Control Tower Google Cloud folders Terraform Policy as code
FAQ

Common questions before engagement.

Short answers to common planning questions for Cloud Landing Zones.

We're already deployed without one. Too late?

No — we can retrofit governance and standardize what you have, though it's more work than starting clean.

Single or multi-cloud?

Either. Our landing zones are designed to keep governance consistent even across Azure, AWS and GCP.

Enterprise consultation

Planning a cloud, security, DevOps or AI initiative?

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