Cloud Platforms
Governed Azure foundations with identity, networking, policy, security guardrails, and cost awareness designed in.
Explore landing zonesOpen engineering, carefully considered
CloudSci AI turns complex infrastructure into practical patterns for secure cloud platforms, reliable Kubernetes, reproducible automation, and responsible AI.
module "cloud_platform" { source = "cloudsci/platform/azurerm" region = "germanywestcentral" private_cluster = true policy_as_code = true}Engineering domains
Clear reference architectures and working examples grounded in the constraints engineering teams face every day.
Governed Azure foundations with identity, networking, policy, security guardrails, and cost awareness designed in.
Explore landing zonesAKS platform patterns for secure workloads, observable services, reliable operations, and responsible scaling.
Explore AKS patternsReusable modules, policy as code, validation pipelines, and delivery standards that keep environments reproducible.
Explore modulesPractical agents for architecture review, governance, and operations—with humans in control of critical decisions.
Explore AI agentsOpen-source ecosystem
A practical enterprise foundation for identity, connectivity, governance, and security—documented from first principle to deployment.
View the repositoryBuilding in public
CloudSci AI is at the beginning. Each milestone turns practical engineering experience into resources others can inspect, question, and reuse.
Domain, organization, core repositories, shared labels, and community standards.
Website, documentation hub, contribution model, and automated quality checks.
Azure landing zone, AKS blueprint, and reusable Terraform modules.
Hands-on labs, AI agents, architecture patterns, and community projects.
The person behind CloudSci
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.
Published weekly
Practical writing about the systems beneath AI applications: identity, infrastructure, evaluations, reliability, and human control.
Visit the blogA practical guide to building a secure, keyless, and observable Azure AI agent POC with Microsoft Foundry, Azure AI Search, Container Apps, Terraform, and Azure DevOps.
14 min read · Open article →CloudSci AI is a weekly field notebook for practical AI engineering, cloud platforms, Kubernetes, and infrastructure as code.
5 min read · Open article →Start a conversation
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