The Architect's Ledger: DDIA Deep-Dive
Welcome to my journey through "Designing Data-Intensive Applications" by Martin Kleppmann. This series documents my technical deep-dives, visualizations, and hands-on implementations as I explore the principles that power the world's most scalable and reliable systems.
Roadmap and Progress
I am reading this book chapter-by-chapter, distilling complex concepts into architectural patterns and practical Go/C++ implementations.
Part I: Foundations of Data Systems
- [x] Chapter 1: Reliable, Scalable, and Maintainable Applications (Completed)
- [x] Chapter 2: Data Models and Query Languages (Completed)
- [/] Chapter 3: Storage and Retrieval (Reading...)
- [ ] Chapter 4: Encoding and Evolution
Part II: Distributed Data
- [ ] Chapter 5: Replication
- [ ] Chapter 6: Partitioning
- [ ] Chapter 7: Transactions
- [ ] Chapter 8: The Trouble with Distributed Systems
- [ ] Chapter 9: Consistency and Consensus
Part III: Derived Data
- [ ] Chapter 10: Batch Processing
- [ ] Chapter 11: Stream Processing
- [ ] Chapter 12: The Future of Data Systems
Implementation Corner
Theory is great, but code is better. Here are the projects I've built (or am building) to solidify these concepts:
| Chapter | Concept | Project / Implementation |
|---|---|---|
| Ch 3 | LSM-Trees | Go-LSM: A Persistent KV Store |
| Ch 5 | Replication | Planned: Distributed KV Store |
| Ch 11 | Stream Processing | Planned: Real-time Analytics Engine |
Design Philosophy
Each chapter deep-dive includes: - TL;DR: The "too long; didn't read" essence. - Visuals: Mermaid diagrams of architectures and data flows. - The "So What?": Why this matters for a Full-Stack Engineer. - Interview Essentials: High-frequency system design questions related to the chapter.