Vaibhav Gujral
CODE Author
Detailed Biography
Vaibhav Gujral is a cloud engineering and technology leader with over two decades of experience driving enterprise modernization and AI strategy for Fortune 500 organizations across banking, financial services, insurance, technology, healthcare, and construction. In his current role, he partners with executive leadership to shape cloud and AI roadmaps while guiding architectural and engineering teams in delivering large-scale DevOps, application modernization, and generative AI solutions.
Vaibhav is a seven-time Microsoft MVP, a Fellow of the British Computer Society, a Senior Member of the IEEE, and a member of the Forbes Technology Council. He is deeply committed to community leadership as the organizer of the Omaha Azure User Group and a frequent speaker at major industry conferences.
Articles Authored
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Azure Well-Architected Framework in Practice
Last updated: Tuesday, August 25, 2026
Published in: CODE Magazine: 2026 - September/October
Vaibhav Gujral argues that moving to Azure only improves outcomes when teams design deliberately around the Well-Architected Framework’s five pillars: cost optimization, operational excellence, performance efficiency, reliability, and security. He emphasizes that cloud success is an ongoing discipline, not a one-time migration, and shows how practices like right-sizing, autoscaling, governance, and design patterns help organizations avoid simply relocating old inefficiencies to the cloud.
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Unlock Serverless Azure Functions
Last updated: Friday, December 26, 2025
Published in: CODE Magazine: 2025 - May/June
Vaibhav explores how serverless architecture transforms application development through Microsoft's Azure Functions. By delegating server management to cloud providers, developers can focus on coding and scaling. Azure Functions proves valuable for microservices, APIs, and event-driven workflows. The article guides readers through Azure Functions implementation, covering triggers, bindings, and service integration. Vaibhav addresses security considerations, performance optimization, and advanced scenarios, equipping developers with the framework to effectively harness serverless computing capabilities.

