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In this session, I start by whiteboarding the deployment strategy for a Face Recognition application, breaking down the architecture visually before touching any code. This helps clarify design decisions, trade-offs, and system boundaries upfront — just like in real-world architecture discussions. Once the deployment strategy is clear, I move into implementing the architecture using Terraform (Infrastructure as Code), translating the whiteboard design into deployable cloud infrastructure — with Claude AI assisting throughout the process. This video focuses on how architects think and work — from whiteboard to production-ready infrastructure. 🧠 Who this is for: • Software Architects & Senior Developers • Cloud & DevOps Engineers • Terraform & IaC learners • Developers interested in AI-assisted system design 👉 Watch Part 1 for application context before diving into deployment strategy here: • Build a Face Recognition App with React, N... Tech Stack & Tools: • Terraform (Infrastructure as Code) • Cloud Architecture (AWS) • Face Recognition Application • Claude AI #SystemDesign #SoftwareArchitecture #CloudArchitecture #DeploymentStrategy #Terraform #InfrastructureAsCode #DevOps #AWS #LiveCoding #Whiteboarding #FaceRecognition #ClaudeAI