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Storage Engine Design: Building High-Performance Data Systems from the Ground Up
Paperback
Publisher: Independently Published
Published: Aug 23 2026
Pages: 184
Weight: 0.67
Height: 0.39 Width: 6.69 Depth: 9.61
Language: English
For years, I treated databases like magic boxes. I would send a SELECT query into the void, cross my fingers, and celebrate when the data came back. But then, production broke. I stared at a freezing server at 3:00 AM, totally paralyzed. The database was choking, and I had no idea why.
I realized that blindly trusting abstractions wasn't enough. I needed to know exactly what the machine was doing in the dark. How does a database guarantee my data survives a power outage? What happens to the memory when two users update the exact same row at the exact same millisecond? I spent years digging through academic whitepapers, reading kernel source code, and breaking databases to find the answers. I wrote this book to save you from that grueling process. If you have ever wanted to peek behind the curtain and see the gears turning, you are in exactly the right place.
We won't just talk about theory-we are going to build, benchmark, and break things. Inside, you will discover:
- The OS Boundary: How to bypass standard filesystems and command physical silicon using direct I/O.
- Memory Architecture: Building a bulletproof Buffer Pool Manager that never leaks memory.
- Data Structures of the Gods: A deep dive into B-Trees for read-heavy workloads and LSM-Trees for massive write scalability.
- Time Travel (MVCC): How modern engines use Multi-Version Concurrency Control to let millions of users read and write simultaneously without locking up.
- Distributed Consensus: Demystifying the Raft algorithm to create a highly available, self-healing cluster.
- Hardcore Debugging: Using tools like strace, eBPF, and hex dumps to mathematically prove your engine is fast.
This book is written for the relentlessly curious. It is meant for backend developers, systems engineers, and computer science students who are tired of superficial tutorials. If you know how to write code in a systems language like C++, Rust, or Zig, and you are ready to transition from a developer who merely uses databases into an engineer who actually understands them, this is your roadmap.
You can spend the rest of your career treating databases as magic, hoping they don't break when it matters most. Or, you can finally master the machine. Grab your copy, open your favorite code editor, and let's start building the engine from the ground up.
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