Master designing scalable distributed systems
System Design is a critical skill for senior software engineers, focusing on designing large-scale distributed systems that handle millions of users. This skill is essential for technical interviews at top tech companies and for architecting real-world systems. As you master system design, you will learn to design systems like URL shorteners, social media platforms, video streaming services, ride-sharing apps, and more. This comprehensive roadmap covers scalability principles, load balancing, caching strategies, database sharding, CAP theorem, microservices architecture, message queues, CDNs, and real-world system design case studies. System design knowledge is crucial for senior engineers, tech leads, and architects. The skill requires understanding of distributed systems, databases, networking, and the ability to make tradeoffs between consistency, availability, and partition tolerance.
6-8 weeks
Horizontal vs vertical scaling, load balancing
Redundancy, failover, disaster recovery
Latency, throughput, bottlenecks
Strong, eventual, CAP theorem
8-10 weeks
Round robin, least connections, consistent hashing
Redis, Memcached, cache strategies, CDN
SQL vs NoSQL, sharding, replication, indexing
Kafka, RabbitMQ, pub-sub, event streaming
8-10 weeks
Consensus, Paxos, Raft, distributed transactions
Service decomposition, API gateway, service mesh
Sharding strategies, consistent hashing
Token bucket, leaky bucket, sliding window
10-12 weeks
Design bit.ly, hashing, database schema
Design Twitter, news feed, followers
Design Netflix, CDN, encoding, storage
Design Uber, geolocation, matching, routing
8-10 weeks
Design Amazon, inventory, payments, recommendations
Design WhatsApp, real-time messaging, encryption
Design Google, crawling, indexing, ranking
Design Dropbox, file sync, deduplication
6-8 weeks
Requirements, estimation, design, deep dive
Thinking aloud, asking questions, tradeoffs
LeetCode system design, mock interviews
Avoiding pitfalls, time management