Foundations of Cloud Computing and Distributed Systems

Behind every major cloud platform lies a complex web of distributed systems working in harmony to handle massive amounts of data. Understanding these underlying concepts is essential for anyone looking to build or manage modern software at scale. This course transforms your understanding of internet services into a deep grasp of how distributed systems achieve reliability and performance. You will learn to think like a systems architect by exploring the technical trade-offs involved in data storage, consistency, and fault tolerance. What you'll learn: - Understand the fundamental principles of distributed systems and cloud architecture - Apply core distributed algorithms for consensus, synchronization, and leader election - Master data processing patterns using MapReduce and modern batch processing concepts - Analyze NoSQL database models and key-value stores for high-availability requirements - Evaluate scalability strategies and the trade-offs between consistency and availability - Explore modern observability and tracing concepts to monitor health in complex environments The course begins with foundational terminology and the evolution of cloud infrastructure before diving into specific algorithms and storage paradigms. You will progress through written explanations and conceptual exercises that mirror real-world system design challenges. This course is designed for beginners in cloud architecture and software engineering; no prior experience with distributed systems is required. Start building your technical foundation in cloud systems today.