🏗️ System Design Guides for FAANG Interviews

In-depth walkthroughs of the most common system design problems asked at Google, Meta, Amazon, Apple, and Microsoft. Each guide covers requirements gathering, capacity estimation, data modeling, scalability trade-offs, and architecture decisions — with answers calibrated from L3 to L8.

• URL Shortener System Design

  URL shortener system design walkthrough: requirements, encoding, caching, data model, scalability. Level-calibrated answers from L3 to L8 at FAANG companies.

• Rate Limiter System Design

  Design a rate limiter for a system design interview. Covers token bucket vs leaky bucket, sliding window, distributed counters, Redis Lua scripts, failure modes.

• Twitter/X Feed System Design

  Design a Twitter/X news feed for your system design interview. Covers fan-out strategies, timeline generation, ranking, caching, and real-time delivery. Used at Meta, Twitter, LinkedIn interviews.

• Key-Value Store & Distributed Cache System Design

  Design a distributed key-value store or cache (Redis, Memcached). Covers consistent hashing, eviction policies, replication, partitioning, and failure modes for FAANG interviews L3–L8.

• Search Autocomplete System Design

  Design a Search Autocomplete system: trie vs inverted index, prefix ranking, typeahead at scale. Full FAANG/MAANG interview guide covering Google, Amazon, Twitter, LinkedIn — L3 to L8.

• Web Crawler System Design

  Design a Web Crawler for your system design interview. Covers BFS frontier, politeness, URL deduplication, and distributed crawl at Google/Bing scale.

• Notification Service System Design

  Design a Notification Service: push, email, and SMS fan-out at scale. Priority queues, delivery guarantees, rate limiting, and multi-channel routing.