🌐 Scalability
Design systems that can handle increasing loads gracefully. Understand horizontal vs. vertical scaling, load balancing techniques, and how to distribute traffic effectively.
💾 Databases
Know the differences between SQL and NoSQL databases, database sharding, indexing, and transaction management. Understand when to use each type based on system requirements.
🚀 Caching
Implement caching strategies to reduce latency and improve system performance. Familiarize yourself with caching layers like CDN, in-memory caches (Redis, Memcached), and client-side caching.
🔄 Consistency and Availability
Grasp the CAP theorem and how it applies to distributed systems. Learn about consistency models, replication strategies, and fault tolerance mechanisms.
🛠️ Microservices and Monoliths
Understand the pros and cons of microservices architecture versus monolithic architecture. Know how to design services, manage inter-service communication, and handle service discovery.
🕸️ Networking Protocols
Basic knowledge of networking protocols like HTTP/HTTPS, TCP/IP, and DNS is essential for designing robust systems.
📊 Data Structures and Algorithms
Strong foundational knowledge helps in optimizing system components and solving design challenges efficiently.
🔧 Pro Tip: Create mind maps for each core concept to visualize their interconnections and applications within system design.