Learn backend systems
the right way
Deep dives into papers, open source projects, and system design problems. Built for senior engineers.
What you'll learn
Comprehensive curriculum covering distributed systems, system design interviews, and production-grade engineering.
Whitepapers
15 courses- MapReduce: Simplified Data Processing on Large Clusters
- The Log-Structured Merge-Tree (LSM-Tree)
- In Search of an Understandable Consensus Algorithm (Raft)
- TAO: Facebook's Distributed Data Store for the Social Graph
- + 11 more
Open Source
10 courses- Redis: In-Memory Data Structure Store
- Apache Cassandra: Distributed Wide-Column Store
- Envoy Proxy: Modern L7 Proxy and Communication Bus
- Apache Hadoop: Distributed Storage and Processing
- + 6 more
System Design Fundamentals
11 courses- Latency, Throughput & Performance
- Scalability Fundamentals
- Database Fundamentals
- Load Balancing Deep Dive
- + 7 more
System Design Masterclass
58 courses- Cluster Health Monitoring System
- User Analytics Dashboard & Event Pipeline
- WhatsApp / Messenger
- API Rate Limiter
- + 54 more
Patterns
35 courses- Sharding Pattern
- Queue-based Load Leveling Pattern
- Replication Pattern
- Conflict Resolution Pattern
- + 31 more
What you get
Every course is designed to help you deeply understand complex systems.
1
TL;DR summaries
Quick overview of key concepts and takeaways for busy engineers.
2
Architecture diagrams
Visual representations of system designs using Mermaid diagrams.
3
Trade-offs analysis
Understand what systems gained and what they sacrificed.
4
AI-powered Q&A
Ask Claude questions about any paper or system design concept.