📘 Phase 2: CAP Theorem in Distributed Systems

In this video, we explore the CAP Theorem—a foundational concept for understanding trade-offs in distributed systems. Whether you're diving into backend architecture or preparing for system design interviews, mastering CAP will give you a huge edge in designing scalable and reliable applications. 🔍 Topics Covered: What is the CAP Theorem? (Eric Brewer's Triangle) Deep dive into Consistency, Availability, and Partition Tolerance Why you can only pick two out of three in real-world systems CP vs AP vs CA: What do they mean and when to use them? CAP vs PACELC: The latency trade-off in distributed databases Design decisions: What should you prioritize for your app? 💻 GitHub Repository: 🔗 https://github.com/gyanavardhana/Tech_Basic_Coverage/tree/main/DBS 👉 Like, comment, and subscribe to support this journey into backend & systems design! #distributedsystems #captheorem #systemdesign #backenddevelopment #cassandra #mongodb #pacelc #scalability #devex