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Open engineering, carefully considered

Engineering the cloud, thoughtfully.

CloudSci AI turns complex infrastructure into practical patterns for secure cloud platforms, reliable Kubernetes, reproducible automation, and responsible AI.

Explore the projects What we build
  • Production first
  • Security by design
  • Open by default
platform/main.tf review ready
  1. module "cloud_platform" {
  2.   source = "cloudsci/platform/azurerm"
  3.   region = "germanywestcentral"
  4.   private_cluster = true
  5.   policy_as_code = true
  6. }
CloudSci review4 checks
  • 01
    IdentityWorkload identity enabled
    Pass
  • 02
    NetworkPrivate ingress enforced
    Pass
  • 03
    PolicyGuardrails attached
    Pass
  • 04
    RecoveryRunbook needs review
    Review
mainterraform 1.94 checks · 0 errors

Engineering domains

Ideas that survive contact with production.

Clear reference architectures and working examples grounded in the constraints engineering teams face every day.

01

Cloud Platforms

Governed Azure foundations with identity, networking, policy, security guardrails, and cost awareness designed in.

Explore landing zones
02

Kubernetes

AKS platform patterns for secure workloads, observable services, reliable operations, and responsible scaling.

Explore AKS patterns
03

Infrastructure as Code

Reusable modules, policy as code, validation pipelines, and delivery standards that keep environments reproducible.

Explore modules
04

AI Engineering

Practical agents for architecture review, governance, and operations—with humans in control of critical decisions.

Explore AI agents

Open-source ecosystem

Built to be read, run, and improved.

All repositories
Reference architectureIn development

Azure Landing Zone

A practical enterprise foundation for identity, connectivity, governance, and security—documented from first principle to deployment.

View the repository
01
AKS PlatformProduction-minded Kubernetes foundations
 02
Terraform ModulesReusable infrastructure with safe defaults
 03
AI AgentsHuman-centered engineering automation
 04
Engineering LabsHands-on cloud and AI learning
 05
Architecture PatternsDecisions explained in context

Building in public

A deliberate path from foundation to community.

CloudSci AI is at the beginning. Each milestone turns practical engineering experience into resources others can inspect, question, and reuse.

  1. 01

    Foundation · Complete

    Establish the platform

    Domain, organization, core repositories, shared labels, and community standards.

    ✓
  2. 02

    Publishing · In progress

    Launch the knowledge surface

    Website, documentation hub, contribution model, and automated quality checks.

    ●
  3. 03

    Architecture · Planned

    Release working references

    Azure landing zone, AKS blueprint, and reusable Terraform modules.

    ○
  4. 04

    Community · Planned

    Grow the engineering library

    Hands-on labs, AI agents, architecture patterns, and community projects.

    ○
Portrait of Gowrisha C. Vishwa Kumar
Germany

The person behind CloudSci

Experience from production, shared in the open.

Gowrisha C. Vishwa Kumar Senior Cloud Platform Engineer

Gowrisha brings more than twelve years of IT experience to cloud platform engineering, with deep expertise in Azure landing zones, Terraform, identity, networking, governance, Kubernetes, and resilient operations in regulated environments.

CloudSci AI is his independent open-source initiative for turning lessons from real delivery work into inspectable architectures, reusable automation, and practical guidance for other engineers.

12+
Years in IT
40%
Less manual provisioning
25%
Lower cloud run-rate
190 TB
Cross-cloud migration
View résumé LinkedIn Personal GitHub

Start a conversation

Useful systems begin with thoughtful questions.

Follow the work, explore the repositories, or share an idea for the CloudSci ecosystem.

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