The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Paperback, 611 pages
English language
Published Jan. 24, 2017 by O'Reilly Media, Incorporated.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
Peer under the hood of the systems you already use, and learn how to use and operate them more …
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern 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 tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
This is THE book if anybody wants to go deep about distributed, data-intensive application design. Unexpectedly not only it explains so deeply new database technologies and paradigms, but it also narrates and states the situation as-it-is, the future challenges that a software engineer will face, and what led to them. If you're looking for growth as a software engineer, this has to go into your library.
If you are working on distributed systems or data storage systems, then it is a must read book for you. To make the best use of the book, one will have to read it, re-read it and keep it at his desk to refer. It covers many topics which I use in my day to day work. Most of the books in this area are either too theoretical or focus on the details of one or few frameworks. In contrast, the book covers the basic concepts which makes the book really valuable.
