Are you building distributed storage systems that quietly fall apart under load — hot spots silently choking throughput, nodes drowning in uneven data, and rebalancing jobs that cost more than they save?
Most engineers learn chunk management the hard way: by debugging a production cluster at 2 AM, watching data nodes tip into overload while others sit idle. The theory is buried in academic papers. The real implementation details are scattered across changelog entries and closed-source systems. What's missing is a single, coherent resource that takes you from first principles to production-ready implementation — covering not just what chunks are, but how to place, replicate, monitor, tune, and rebalance them at scale.
Chunk Management and Balancing is the definitive technical guide for storage engineers, distributed systems developers, and infrastructure architects who need to design and operate chunk-based storage systems that perform reliably under pressure. Whether you're working with HDFS, GFS-inspired architectures, Ceph, or building your own chunk server from scratch, this book gives you the mental models, algorithms, and practical techniques to get it right.
Inside, you will find:
This book draws on real system design principles from production-grade distributed storage — the same concepts underlying the infrastructure that powers cloud platforms serving billions of users daily. Every chapter pairs conceptual depth with operational guidance so you can apply what you learn immediately.
Stop guessing your way through chunk management — grab your copy and build storage systems that scale without breaking.
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