Meet Amoghavarsh — a cloud architect, developer, and innovator. He’s the Founder of CloudSketcher, and also a Module Leader at Aspire Systems. Before that, he worked at Bosch. His core strengths lie in Microsoft Azure, cloud cost optimization (FinOps), infrastructure as code (Terraform/CDK), and building web/cloud systems. He also describes himself as a “Vibe Code Cleanup Specialist,” which hints at his passion for clean, maintainable code.
With this mix of leadership, hands-on technical experience, and cloud expertise, Amoghavarsh has built something that directly reflects his vision: CloudSketcher — a tool to make designing cloud architectures easier, faster, and smarter.
What Is CloudSketcher?
CloudSketcher is an AI-powered cloud architecture platform aimed at simplifying how systems are planned, visualized, and documented. It works with the three major cloud providers: AWS, Azure, and GCP.
Here are its key capabilities:
- Natural language to diagram (SketchDraw): You type or describe your desired architecture in words, and CloudSketcher turns that into a cloud diagram.
- Cross-cloud conversion (Cloud Convert): If you design something in Azure, you can convert it to AWS or GCP with a click. The tool preserves relationships and structure.
- Image → editable diagram (SketchVision): Upload a scanned or static architecture image and transform it into an editable cloud diagram.
- Automatic documentation (SketchDocs): Turn diagrams into polished proposals, technical specs, and architecture documentation automatically.
- Terraform code generation (SketchTF): From the visual diagram, you can generate production-ready infrastructure-as-code (IaC) files in Terraform.
- Cost comparison & optimization (SketchPricing): Based on the architecture, the tool estimates costs across AWS, Azure, and GCP, with breakdowns by service (compute, storage, network).
CloudSketcher claims to help users create, convert, and document architectures — all in minutes rather than hours. It is already used in many countries and by organizations in multiple industries.
How Amoghavarsh’s Expertise Powers CloudSketcher
The features of CloudSketcher are a direct reflection of Amoghavarsh’s professional strengths:
- Azure & multi-cloud depth:
His knowledge in Azure, combined with experience across clouds, enables the tool to handle cross-cloud translation (Azure ↔ AWS ↔ GCP) seamlessly. - Infrastructure as code and clean code culture:
With expertise in Terraform and CDK, he ensures the generated code (via SketchTF) follows best practices, modular structure, and clarity. His “code cleanup” focus likely helps the product avoid technical debt. - Cost optimization mindset (FinOps):
The SketchPricing feature stems from his understanding of how cloud spending can balloon. By integrating cost comparison and optimization, he brings financial discipline into architecture design. - Bridging theory and real usage:
Having built web systems and cloud infrastructure in real projects, he understands the pain points. CloudSketcher is designed not just as a diagram tool but as a productivity multiplier — turning ideas into usable artifacts. - Leadership & module management:
As a Module Leader, he can guide teams, establish standards, and influence technical direction — qualities that help steer a growing product like CloudSketcher.
Why CloudSketcher Matters
- Speeds up architecture design: Rather than redrawing diagrams or juggling multiple tools, users can sketch ideas and see visual output instantly.
- Reduces manual work: Documentation, Terraform code, and cost sheets are often tedious. CloudSketcher automates them.
- Supports decision-making: Cross-cloud conversion and cost comparisons help stakeholders choose the right platform or compare alternatives.
- Promotes clarity & consistency: Editable diagrams from images, structured exports, and code generation help maintain consistency across designs and teams.
Looking Ahead
With his strong background in cloud engineering, cost control, and clean code, Amoghavarsh is poised to evolve CloudSketcher further. Possible directions include supporting hybrid clouds, improving AI model accuracy for complex architectures, and expanding integrations with deployment pipelines.
CloudSketcher is a tool born from experience — combining Amoghavarsh’s skills in Azure, DevOps, FinOps, infrastructure design, and coding discipline. For architects, engineers, startups, or enterprises seeking smarter cloud workflows, it represents a practical leap toward more automated, intelligent infrastructure design.
Link: https://www.cloudsketcher.com/
