EAC FA1

Google Maps: Cloud Computing Behind Real-Time Navigation | Engineering a Cloud | FA-1 This video presents a real-world case study of Google Maps and explains how Cloud Computing enables scalable, reliable, secure, and real-time navigation services. The presentation covers the application of Engineering a Cloud – Unit 1 to Unit 4, including: 🔹 Unit 1 – Introduction to Cloud Computing Cloud deployment models IaaS, PaaS and SaaS Service provider Role of cloud computing in Google Maps 🔹 Unit 2 – Cloud Infrastructure & Networking Virtual Machines (VMs) Containers Load balancing Networking Data centers Scalability and availability 🔹 Unit 3 – Cloud Security & Compliance HTTPS/TLS API security API keys OAuth 2.0 Authentication & authorization Access control Security and compliance considerations 🔹 Unit 4 – Cloud Storage & Databases Geographic and map data Road and route information Traffic-related data Cloud storage Databases Data replication Backup and high availability The video also explains how cloud-based processing supports real-time, traffic-aware routing and how a simple route request involves computing, networking, data storage, security, and distributed infrastructure. 📍 Case Study: Google Maps 🎓 Subject: Engineering a Cloud 📚 Activity: Formative Assessment-1 🏫 Department: Information Technology 📅 Academic Year: 2026–27 👤 Presented by: [Your Name] 🆔 Roll No.: [Your Roll Number] Note: The architecture discussed in this presentation is a conceptual representation based on publicly available information. Google's proprietary internal infrastructure and exact database architecture are not publicly disclosed.