Azure platform engineering
Landing zones, subscription design, policy and identity foundations that give new workloads a governed place to run.
Typical work and outputsCloud engineering and automation, Ontario, Canada
Azure environments, built with care and automated from the start.
Cyberera helps organizations design, automate and document their cloud platforms, so the environment you run today can be understood, changed and rebuilt tomorrow.
How a governed change moves through an Azure environment
Read-only discovery maps the environment, and an AI-assisted assessment ranks what needs attention.
The change is written as code. A separate reviewer checks it, so no model approves its own work.
Nothing is applied until a person has reviewed the plan, cost and rollback, and approved it.
The approved change is applied as code and committed, so the environment can be rebuilt.
Illustrative example of the target workflow, in development. Not a client environment.
Example change: tagging and location policyIllustrative
Stage 1 · Discover and assess
Organization tenant
PlatformWorkloadsSandbox
AI-assisted assessmentRead-only
- Owner role assigned at subscription scope
- 2 subscriptions missing cost-centre tags
- No policy restricting deployment regions
Stage 2 · Plan and validate
PlanBuilder
- + policy require-cost-centre-tag
- + policy allowed-locations: Canada Central, Canada East
- ~ role Owner → Contributor
- Plan: 2 to add, 1 to change, 0 to destroy
Independent reviewReviewer
- Role scope too broad: narrow it to the workload resource group
- Revised plan passes review
Stage 3 · Approve
Change request CR-014Awaiting approval
- Changes
- 2 policies, 1 role
- Cost impact
- None
- Risk
- Low
- Rollback
- Revert commit
Approved by owner
Stage 4 · Apply and record
Organization tenant
PlatformWorkloadsSandbox
Repositorymain
a41f2c7Apply CR-014: tagging and location policyc09b3e1Update runbook and decision record- Environment can be rebuilt from code
Where Cyberera can help
Four focused areas of work, scoped to what each organization actually needs.
Infrastructure as code and automation
Terraform, Ansible and GitHub Actions pipelines that turn manual changes into reviewed, repeatable runs.
Typical work and outputsNetwork and DNS architecture
Hybrid connectivity and name resolution for mixed environments, including clear separation of IT and operational networks.
Typical work and outputsCloud environment assessments
A structured review of an existing environment for security, cost and operability, with a prioritized remediation plan.
Typical work and outputsHow an engagement runs
Every stage ends with something written down that your team keeps.
Stage 1
Assess
Current environment, constraints and goals.
Stage 2
Design
Architecture and recorded decisions, agreed before building.
Stage 3
Automate
Built as code, tested and reviewed in your repositories.
Stage 4
Hand over
Runbooks and documentation to operate and rebuild.
In development
Building an AI-assisted framework for cloud engineering and automation.
Cyberera is developing a framework that combines infrastructure as code, AI-assisted engineering, independent security review and human-approved execution, starting with Microsoft Azure. It is in early-stage development and not yet commercially available.
Tell us about the environment you want to improve.
A short first conversation is usually enough to tell whether there is a good fit.