Master the frameworks, patterns, and communication strategies that top-tier tech companies expect.
Why System Design Interviews Are Different
System design interviews test your ability to think at scale — not just write code. FAANG and top tech companies use them to evaluate:
Scalability thinking Trade-off analysis Communication under pressure Real-world engineering experience
The 6-Step Framework
Step 1: Clarify Requirements (5 minutes)
Never start designing without asking:
Scale: How many users? Requests per second? Features: What's in scope for this interview? Constraints: Read-heavy or write-heavy? Latency requirements?
Step 2: Estimate Scale (3 minutes)
Back-of-envelope calculations show interviewers you understand scale:
1M daily users × 10 requests/day = ~116 requests/second 1KB per object × 1M objects = 1GB storage
Step 3: High-Level Design (10 minutes)
Sketch the core components:
Load balancer Web servers / API layer Databases (SQL vs NoSQL) Cache layer (Redis) Message queues CDN for static assets
Step 4: Deep Dive on Components (20 minutes)
The interviewer will guide you into specific areas. Common deep dives:
**Database sharding** — how do you distribute data? **Caching strategy** — what do you cache and when does it expire? **API design** — RESTful endpoints and rate limiting **Consistency vs availability** — CAP theorem decisions
Step 5: Address Bottlenecks (5 minutes)
Proactively identify where your system will fail:
Single points of failure Hot spots in the database Thundering herd problems
Step 6: Summary (2 minutes)
Recap what you built and highlight the key trade-offs you made.
Essential Topics to Study
Foundational:
Load balancing (L4 vs L7) Caching (Redis, Memcached, CDN) SQL vs NoSQL databases Message queues (Kafka, RabbitMQ) Microservices vs monolith
Advanced:
Consistent hashing Event sourcing and CQRS Distributed transactions (Saga pattern) Rate limiting algorithms (token bucket, sliding window)
Practice with AI Mock Interviews
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