Designing Data Intensive Applications

Discover new ways of thinking about your distributed data system challenges.

In this practical and comprehensive guide, Martin Kleppmann helps you navigate the diverse and fast-changing landscape of approaches to processing and storing data for data-intensive applications.

Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
Make informed decisions by identifying the strengths and weaknesses of different approaches and technologies
Understand the distributed systems research upon which modern databases are built
Go behind the scenes of major online services and learn from their architectures

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This 145 page book excerpt contains the following 3 chapters: Storage and Retrieval, Replication, and The Trouble with Distributed Systems.

Storage and Retrieval: How databases lay out data on disk. Different storage engines are optimized for different workloads; choosing correctly has a huge effect on performance.

Replication: How strategic replication can reduce access latency, increase availability, and increase read throughput, plus the advantages and disadvantages of different replication approaches.

The Trouble with Distributed Systems:The wide range of distributed system problems that arise in practice, the challenge of detecting faults, and ways to make the system fault tolerant.