06-22-2026, 02:23 PM
System design interviews trip a lot of people up because there's no definitive "correct" answer and the scope feels enormous. Here's a curated list of resources that are actually worth your time, free or nearly free.
Books
Free online resources
YouTube
Practice
Ask yourself: how would I design [Twitter / YouTube / URL shortener / ride sharing / Google Drive]? Work through it out loud or on paper. Then look up how they actually do it.
The components worth understanding first: load balancers, CDNs, SQL vs NoSQL trade-offs, caching strategies (read-through/write-through/write-behind), message queues, horizontal vs vertical scaling, CAP theorem.
Books
- Designing Data-Intensive Applications (Martin Kleppmann) - not free but worth every penny. The most useful technical book I've read. Covers databases, replication, consensus, stream processing properly.
- System Design Interview Vol 1 & 2 (Alex Xu) - more interview-focused, covers the walk-through format well. Available as PDFs online if you look.
Free online resources
- ByteByteGo newsletter - Alex Xu's weekly system design breakdowns. Excellent diagrams, free archive.
- High Scalability blog - real architecture breakdowns from actual companies (Slack, Twitter, Netflix). Aged but the fundamentals are evergreen.
- The System Design Primer (GitHub, donnemartin) - comprehensive open-source guide covering all the major components. Good reference doc.
- roadmap.sh/system-design - structured learning path with free content.
YouTube
- ByteByteGo channel - animated explainers of system design concepts
- Gaurav Sen - good for understanding distributed systems concepts
- Hussein Nasser - deep dives on specific technologies (databases, proxies, protocols)
Practice
Ask yourself: how would I design [Twitter / YouTube / URL shortener / ride sharing / Google Drive]? Work through it out loud or on paper. Then look up how they actually do it.
The components worth understanding first: load balancers, CDNs, SQL vs NoSQL trade-offs, caching strategies (read-through/write-through/write-behind), message queues, horizontal vs vertical scaling, CAP theorem.
