System Design Tutorial Series

Every tutorial in the series, in order.

• Understanding Latency: A Beginner's Guide to System Design Fundamentals

  Learn what latency is, why it matters, and how it impacts your digital experience. A fundamental concept every system designer must understand.

• System Design Fundamentals: Introduction to Scalable Architecture

  Learn the fundamentals of system design and how to build scalable, reliable systems from the ground up.

• Scalability Patterns: Horizontal vs Vertical Scaling

  Understand the difference between horizontal and vertical scaling, and when to use each approach in your system design.

• Throughput Explained: A Beginner’s Guide to System Design Scale (2026)

  Understand throughput (RPS), why it matters for scaling, and how vertical vs horizontal scaling and load balancers help systems handle massive traffic.

• Load Balancing: Distributing Traffic Across Servers

  Learn about load balancing algorithms and how to distribute incoming requests efficiently across multiple servers.

• Caching Strategies: Improving Performance with Smart Data Storage

  Master caching techniques including cache-aside, write-through, write-behind, and refresh-ahead patterns.

• Database Design: Replication, Sharding, and Consistency

  Learn about database replication strategies, sharding techniques, and how to maintain data consistency in distributed systems.

• Microservices Architecture: Building Distributed Systems

  Explore microservices architecture, service communication patterns, and how to design loosely coupled, independently deployable services.

• Designing a URL Shortener: Complete System Design Case Study

  Put your system design knowledge to practice by designing a URL shortener like bit.ly from scratch, covering all aspects from requirements to implementation.

• Consistent Hashing Explained: A System Design Interview Guide (2026)

  Consistent hashing explained for system design interviews: why modulo hashing fails, how the hash ring and virtual nodes work, and what to say when asked.

• Master-Slave Replication: Database Architecture Explained (2026)

  Master-slave replication explained: read/write splits, replication lag, failover, and when to shard instead. What interviewers really want to hear.

• Social Bookmarking System Design: del.icio.us Case Study (2026)

  A complete social bookmarking system design walkthrough: requirements, capacity math, API, data model, caching, and what breaks at 10M users.

• Design a Coding Contest Platform like LeetCode: System Design Interview (2026)

  Learn LeetCode system design for interviews: contest traffic spikes, sandboxed judge queues, and Redis leaderboards. Master the answer that impresses.

• Design Facebook News Feed: System Design Interview Guide (2026)

  Learn Facebook news feed system design: fanout-on-write vs read, the celebrity problem, feed caching, and ranking. Ready to nail the classic question?

• Typeahead System Design: How Google Autocomplete Works (2026)

  Learn typeahead system design step by step: tries, precomputed top-k suggestions, sharding, and caching to serve autocomplete in under 100ms. Master it here.

• System Design Interview Framework: Step by Step (2026)

  Use this system design interview framework to structure requirements, estimates, APIs, architecture, and trade-offs without getting lost under pressure.

• Back-of-the-Envelope Estimation for System Design (2026)

  Learn back-of-the-envelope estimation for system design interviews with QPS, storage, bandwidth, cache math, and a worked example you can reuse.

• System Design Interview Preparation: Complete Guide (2026)

  A complete system design interview preparation roadmap covering requirements, estimation, core components, case studies, practice, and a free checklist.

• CAP Theorem Explained for System Design Interviews (2026)

  CAP theorem explained with network partitions, CP versus AP choices, real examples, common mistakes, and a concise System Design interview answer.

• SQL vs NoSQL for System Design Interviews (2026)

  Compare SQL vs NoSQL for System Design interviews using access patterns, transactions, scale, consistency, indexing, and practical decision examples.

• Latency vs Throughput in System Design (2026)

  Understand latency vs throughput in System Design, including percentiles, bottlenecks, batching, queues, backpressure, Little's Law, and interview examples.

• CDN Explained: How Content Delivery Networks Work (2026)

  How a CDN works, why physics forces you to use one, cache-control and invalidation traps, and exactly how to bring up CDNs in a system design interview.

• Message Queues Explained: Kafka vs RabbitMQ (2026)

  What a message queue does, when to go async, delivery guarantees, idempotent consumers and dead letter queues — plus how to explain queues in an interview.

• Design a Rate Limiter: System Design Interview (2026)

  Token bucket, leaky bucket, fixed and sliding windows compared — where to enforce limits, how to make them distributed, and how to answer rate limiter questions.

• Database Indexing Explained: Why Queries Are Slow (2026)

  How B-tree indexes work, why the leftmost prefix rule decides if your composite index is used, covering indexes, and the write cost nobody mentions.

• 15 LeetCode Patterns That Cover Most Coding Interviews (2026)

  The 15 LeetCode patterns behind most coding interview questions, each paired with the recognition signal that tells you when to reach for it.

• Google Coding Interview Questions: How to Prepare (2026)

  How Google coding interview questions differ from the standard lists, what General Cognitive Ability actually scores, and an eight-week preparation plan.