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System Design Interview Prep

Practise structured, defensible design conversations: a repeatable interview framework, back-of-envelope maths, the core building blocks and classic case studies, with the key numbers computed by small Python simulations you can run.

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आप क्या सीखेंगे

  • Run a system design interview with a clear structure: requirements, estimates, high-level design, deep dives and trade-offs.
  • Produce quick back-of-envelope estimates for traffic, storage, cache size and availability.
  • Explain and justify core building blocks: load balancing, consistent hashing, caching, sharding, replication and queues.
  • Design for reliability with idempotency, rate limiting, retries with backoff and unique ID generation.
  • Work through classic problems such as a URL shortener, news feed, web crawler, proximity service and chat system.
  • Communicate trade-offs and bottlenecks confidently and follow a practice plan.

पाठ्यक्रम

The Interview Framework

  1. What Interviewers Look For
  2. A Four-Step Framework
  3. Functional and Non-Functional Requirements

Back-of-Envelope Estimation

  1. Traffic and Storage Estimates
  2. Latency Numbers and Their Implications
  3. Availability Maths

Core Building Blocks

  1. Load Balancers and Stateless Services
  2. Consistent Hashing
  3. Caching Strategies

Data Storage at Scale

  1. SQL or NoSQL
  2. Sharding and Shard Keys
  3. Replication and Consistency
  4. Generating Unique IDs

Asynchrony and Reliability

  1. Message Queues and Worker Sizing
  2. Idempotency
  3. Rate Limiting

Case Studies: Shortener, Feed, Crawler

  1. Design a URL Shortener
  2. Design a News Feed
  3. Design a Web Crawler

Case Studies: Proximity, Chat, Notifications

  1. Design a Proximity Service
  2. Design a Chat System
  3. Design a Notification System

Delivering a Strong Interview

  1. Trade-offs and Bottlenecks
  2. Communication and Time Management
  3. A Practice Plan and Checklist