A 12-part series for developers to learn the core principles of designing scalable and reliable systems — covering architecture patterns, trade-offs, real-world examples, and interview preparation.
Learn the foundational concepts of system design including scalability, reliability, and availability. Explore the importance of system architecture patterns.
Delve into the key aspects of scalability in system design such as horizontal and vertical scaling, load balancing, and distributed systems.
Discover how redundancy plays a crucial role in ensuring system reliability. Learn about active-active and active-passive redundancy configurations.
Dive into the concept of availability in distributed systems including CAP theorem, fault tolerance, and strategies for high availability.
Explore various data management strategies for scalable systems such as relational databases, NoSQL databases, caching, and sharding.
Learn how to design microservices architectures for scalability and flexibility. Understand service decomposition, communication patterns, and containerization.
Discover the challenges of maintaining consistency in distributed systems. Explore approaches like eventual consistency, strong consistency, and distributed transactions.
Learn the importance of monitoring and alerting in scalable systems. Explore tools and best practices for monitoring system performance and detecting issues.
Explore techniques for building fault-tolerant architectures including redundancy, failover mechanisms, circuit breakers, and graceful degradation.
Understand best practices for securing scalable systems against common security threats. Explore strategies for authentication, authorization, encryption, and network security.
Analyze real-world examples of system design implementations in large-scale applications. Learn from successful architectures and lessons learned.
Prepare for system design interviews with tips, common questions, and strategies for effectively communicating your design decisions. Ace your next interview!