System Design Foundations: Trade-offs, CAP Theorem, Kafka, and Saga Patterns

Designing resilient, scalable distributed systems requires a deep understanding of trade-offs rather than searching for perfect solutions. This text-based course breaks down complex architectural patterns into clear, structured concepts that prepare you to make confident design decisions and articulate them clearly. You will learn how to evaluate system constraints and choose the right tools for high-availability and consistency. By reading through structured explanations and real-world scenarios, you will transition from writing basic code to thinking like a system architect. The course starts with foundational definitions, core terminology, and fundamental architectural principles before moving into advanced communication patterns and data consistency strategies. What you'll learn: - Understand the CAP theorem, PACELC theorem, and how to balance consistency against availability in distributed environments. - Implement reliable event-driven communication using Kafka and manage message delivery guarantees. - Apply transaction patterns like Saga and Outbox to maintain data consistency across distributed microservices. - Configure secure communications using mTLS and modern zero-trust security principles. - Analyze database trade-offs with Postgres, including replication strategies, partitioning, and connection pooling. - Evaluate real-world system design scenarios by identifying trade-offs and defending your architectural choices. This comprehensive text guide walks you through the theoretical foundations of system design, transitions into practical database and messaging patterns, and concludes with scenario-based architectural trade-offs. It is designed for software engineers, developers, and aspiring system architects who want to build a solid foundation in distributed systems. No prior architecture experience is required to start learning.