System Design Interview Prep: Architecture and API Design

Landing a software engineering role today requires more than just coding skills; you must be able to design scalable, reliable, and efficient systems under pressure. This text-based course helps you bridge the gap between theoretical software architecture and practical interview performance. Through this comprehensive guide, you will develop a structured approach to solving complex system design problems. By reading through real-world architectural scenarios and analyzing detailed system breakdowns, you will learn how to make calculated trade-offs, estimate scale, and justify your design decisions clearly to technical interviewers. What you'll learn: - Analyze functional and non-functional requirements to establish clear system constraints. - Design modern, scalable APIs using REST, gRPC, and GraphQL patterns. - Configure microservices and event-driven architectures for high availability and fault tolerance. - Apply software architecture design patterns to solve common scaling bottlenecks. - Understand big data processing pipelines, storage strategies, and database replication. - Implement modern observability practices, including distributed tracing and telemetry basics. The course begins with foundational definitions and core architectural concepts before moving into deep-dive scenarios, trade-off analyses, and written practice exercises designed to simulate real interview questions. This course is designed for aspiring software engineers, developers transitioning to system design roles, and anyone preparing for technical interviews with no prior architecture experience required. Start reading today to build the confidence needed to ace your next system design interview.