Curated Roadmaps
Learning Paths
Choose a path and follow it from start to finish — each post builds on the previous so you develop real, lasting understanding.
New to System Design Interview Prep?
Follow this curated path — each post builds on the previous, helping you master System Design Interview Prep step by step.
- 1
The Ultimate Guide to Acing the System Design Interview
Don't panic. System Design interviews are open-ended discussions. This framework (Requirements, API, DB, Scale) will help you structure your answer.
Start Here13 min - 2
System Design Core Concepts: Scalability, CAP, and Consistency
The building blocks of distributed systems. Learn about Vertical vs Horizontal scaling, the CAP Theorem, and ACID vs BASE.
Core Concept12 min - 3
System Design Networking: DNS, CDNs, and Load Balancers
The internet's traffic control system. We explain how DNS resolves names, CDNs cache content, and Load Balancers distribute traffic.
Core Concept15 min - 4
System Design Protocols: REST, RPC, and TCP/UDP
How do servers talk to each other? This guide explains the key protocols: REST vs RPC for APIs, TCP vs UDP for transport.
Core Concept16 min - 5
System Design Databases: SQL vs NoSQL and Scaling
The eternal debate: SQL or NoSQL? We break down ACID vs BASE, Sharding vs Replication, and when to use MongoDB vs PostgreSQL.
Core Concept13 min
Curated Roadmaps
Learning Paths
System Design Interview Prep
Build intuition for designing scalable distributed systems from scratch.
- 1Fundamentals & CAP theorem
- 2Load balancing & caching
- 3Database sharding
- 4Microservices patterns
- 5Real-world case studies
Distributed Systems
Deep dive into the theory and practice of building reliable distributed systems.
- 1Consensus algorithms
- 2Replication strategies
- 3Fault tolerance
- 4Stream processing
- 5CDC & event sourcing
Python Engineering
From Python basics to production-ready engineering patterns.
- 1Python fundamentals
- 2Data structures & algorithms
- 3Async & concurrency
- 4Testing & tooling
- 5Performance optimization
ML & AI Engineering
Navigate the landscape of machine learning and modern AI systems.
- 1ML fundamentals
- 2Model training & evaluation
- 3LLM engineering
- 4MLOps & deployment
- 5Sparse MoE & advanced topics