Master the core components of modern distributed systems and learn to approach any system design interview with confidence and structured thinking.
Learn when and how to use different storage solutions, from relational databases to NoSQL, caching strategies, and data partitioning approaches.
Master the principles of effective API design and communication patterns between services, from synchronous REST to asynchronous event-driven architectures.
Explore how to design systems that handle high traffic volumes, balance loads effectively, and maintain reliability even during failures.
Follow this structured approach to tackle any system design interview question with confidence. This framework helps you organize your thoughts and demonstrate your technical knowledge effectively.
Top tech companies look for engineers who can design scalable, reliable, and maintainable systems. This structured approach demonstrates your ability to think systematically about complex problems, make informed trade-offs, and communicate technical decisions clearly.
Clarify functional and non-functional requirements, scale expectations, and performance targets.
Design the core APIs and data models that will satisfy the functional requirements.
Create a high-level design showing key components and data flow through the system.
Address how the system scales, bottlenecks, and optimizations to meet performance requirements.
Discuss key trade-offs made, potential improvements, and summarize the design.
Design a service like bit.ly that takes long URLs and creates shorter, unique URLs that redirect to the original.
Design a scalable real-time chat application supporting one-on-one and group conversations.
Design a rate limiting system to protect APIs from excessive use and potential abuse.
Learn how these examples incorporate concepts from all three fundamental areas of system design.
Dive into any section to learn the core concepts, or follow our comprehensive approach to build your system design skills from the ground up.