System Design: YouTube / Video Streaming Platform
Video streaming is one of the most infrastructure-intensive system design problems. YouTube streams 1 billion hours of video per day. […]
System Design
System Design
Learn to design scalable, reliable systems that handle millions of users. System design interviews test your ability to architect real-world applications, considering tradeoffs, scalability, and best practices.
Core Topics:
Scalability: Load balancing, horizontal vs vertical scaling
Storage: Databases (SQL vs NoSQL), caching (Redis, Memcached)
Reliability: Replication, failover, disaster recovery
Performance: CDNs, caching strategies, database indexing
Common Design Questions:
Design URL shortener (bit.ly)
Design rate limiter
Design Twitter/Instagram feed
Design messaging system (WhatsApp)
Design file storage (Dropbox)
Interview Level: Senior engineers (L5+) at FAANG companies. Requires 3-5+ years experience to tackle effectively.
Preparation: Study system design patterns, understand distributed systems fundamentals, and practice mock interviews.
System Design
System Design: Twitter / Social Media Feed
Designing a social media feed is one of the most nuanced system design problems you’ll encounter in interviews. It looks
System Design
System Design: Chat System (WhatsApp / Messenger Scale)
A chat system is a perennial system design interview question. It requires you to reason about real-time communication, persistent storage,
System Design
API Design: REST vs GraphQL vs gRPC
Every system you design needs an API. In system design interviews, choosing the right API style — and explaining why
System Design
SQL vs NoSQL: How to Choose the Right Database
“Which database would you use?” is one of the most common follow-up questions in system design interviews. Many candidates default
System Design
System Design: URL Shortener (TinyURL / bit.ly)
Designing a URL shortener is one of the most common system design interview questions, especially at the intern and new
System Design
Caching Strategies: Cache-Aside, Write-Through, and Beyond
Caching is the single highest-leverage optimization in most system designs. Before you reach for database sharding or complex infrastructure, a
System Design
Message Queues: Kafka, RabbitMQ, and Async Architecture
Message queues decouple the components of a distributed system so that producers and consumers can operate independently. They appear in
System Design
Load Balancing: Algorithms, Layers, and Failure Handling
A load balancer sits in front of a pool of servers and distributes incoming requests across them. It is one
System Design
CAP Theorem: Consistency, Availability, and Partition Tolerance
The CAP theorem comes up in almost every senior-level system design interview. Interviewers ask it because it forces you to
System Design
Database Sharding: Horizontal Partitioning at Scale
Database sharding is a core scaling technique you’ll need to explain in nearly any large-scale system design interview. The question
System Design
Consistent Hashing: How Distributed Systems Route Traffic
Consistent hashing is one of the most commonly asked system design concepts at big tech companies. You will almost certainly
Data Structures, System Design
Missing country code
Missing Country Code Imagine you get a data set from a client that contains addresses from 150 countries all around
System Design
Server to Process Fair Number of Functions
How would you design a server that has to process a fair number of functions of a requests in a