This organization contains simplified “production-style” system design projects inspired by real-world large-scale applications. Each repository focuses on modeling the core architecture and key engineering challenges behind well-known systems at a reduced scale.
The goal is to build intuition for how large systems are structured, how they scale, and what tradeoffs exist between simplicity, performance, and reliability.
This organization exists to:
- Practice end-to-end system design thinking
- Understand how large-scale applications are architected
- Break down complex systems into core components
- Explore scalability, reliability, and performance tradeoffs
- Build strong system design intuition for backend engineering roles
A simplified content aggregation system focusing on posts, comments, voting, and feed ranking. Explores feed generation and read-heavy scaling.
A collaborative document editing system exploring real-time updates, concurrency control, and conflict resolution.
A real-time messaging system focusing on low-latency communication, presence, and channel-based chat architecture.
A video hosting and streaming system exploring upload pipelines, storage, and content delivery patterns.
A file storage and synchronization system focusing on file versioning, sync logic, and distributed storage concepts.
A ride-matching system exploring geo-indexing, real-time matching, and dispatch optimization.
A social feed system focusing on high write throughput, fanout strategies, and timeline generation.
Projects in this organization emphasize:
- Breaking large systems into core services
- Understanding scaling bottlenecks early
- Tradeoffs between consistency and performance
- Read-heavy vs write-heavy system design
- Real-time vs batch processing decisions
- Fault tolerance and graceful degradation
- Distributed Systems (queues, locks, caching concepts)
- Databases & SQL (data modeling for large systems)
- Backend Engineering (service design and APIs)
- Cloud Infrastructure (deployment and scaling strategies)
- Performance Engineering (latency and throughput constraints)
🟡 Active system design exploration space