读过《Designing Data-Intensive Applications》 🌕🌕🌕🌕🌑
老早就买了读了两章然后在吃灰，这次借准备找工作趁机一鼓作气读完了。前面收获颇多，不过中后期有点失去耐心了，外加前面很多概念已经熟悉所以草草翻过。不禁再次感叹，在亚麻时候从 architecture 到 tools & metrics 都符合 best practice，做为一个什么都不懂的 new grad 就被规整的工作潜移默化。而在你脸真是一锅乱炖拼接起来每个人每个组各自追求短期 impact，反复造轮子，能继续运行也许底层大神写的架构真的牛逼，但大多数应用层面接触到的东西毫无章法并且互相累加，无法想象普通 new grad 如果不特地去寻找信息学习的话怎么样对 system design 有一丝一毫成长。
Designing Data-Intensive Applications [Book] Douban Goodreads Skybridge
9.4 (22 ratings)
author:
Martin Kleppmann
publishing house:
O'Reilly Media
2017
- 4
other title:
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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
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