🚀Case Study #2 System Design & Capacity Planning WhatsApp like application for 100 Million Users

In this video, we design WhatsApp for 100 Million Users and perform complete capacity planning from scratch. We estimate: ✅ Daily Active Users (DAU) ✅ Messages per Day ✅ Read RPS ✅ Write RPS ✅ Peak Traffic Estimation ✅ Storage Requirements ✅ Bandwidth Consumption ✅ Database Sizing ✅ CDN Requirements ✅ Backup & Disaster Recovery Strategy ✅ Future Growth Planning ✅ AI-Powered Features and Infrastructure Impact We start with realistic assumptions, validate estimates using modern AI tools such as ChatGPT, Claude, Gemini, and EURI, and then build a scalable architecture capable of serving hundreds of millions of users. Topics Covered: • User Traffic Estimation • Read/Write Scaling • Database Selection (Cassandra, PostgreSQL, Redis) • Kafka Message Queue Design • Media Storage using S3 • CDN Optimization • High Availability & Disaster Recovery • Kubernetes-based Scaling Strategy • WhatsApp Architecture Walkthrough This video is perfect for: ✔ System Design Interview Preparation ✔ Software Engineers ✔ Solution Architects ✔ Backend Developers ✔ Cloud Engineers ✔ Tech Leads If you enjoy large-scale system design content, subscribe for more real-world architecture case studies. #WhatsApp #SystemDesign #CapacityPlanning #SoftwareArchitecture #DistributedSystems #Scalability #BackendEngineering #Kafka #Cassandra #Redis #CloudArchitecture #Microservices #Kubernetes #TechInterview #FAANG #SolutionArchitecture #HighLevelDesign #LowLevelDesign #100MillionUsers #TechExplained