I have been a CTO for ten years for companies big and small and have had to face the “legacy architect refactoring” challenge outlined in this book multiple times. This book would have saved us a lot of pain. While the tech and tooling for distributed architectures has gotten better and better the process for getting there hasn’t. The playbook outlined here is a must have for anyone facing the architecture modernization challenge.
A few things that would make this book even better
- Integrating DDD concepts especially around aggregates
- Adding additional and/or more detailed decision dimensions for the people aspect (skills, org size and ability to grow, org design, etc), operations architecture, and development architecture. When making decisions these things have to be accounted for and these aspects seemed underplayed a bit.
Overall though this is one of the most pragmatic books on tech I have read in a long time. A must read.
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From the brand
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Sharing the knowledge of experts
O'Reilly's mission is to change the world by sharing the knowledge of innovators. For over 40 years, we've inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
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From the Publisher
From the Preface
When two of your authors, Neal and Mark, were writing the book Fundamentals of Software Architecture, we kept coming across complex examples in architecture that we wanted to cover but that were too difficult. Each one offered no easy solutions but rather a collection of messy trade-offs. We set those examples aside into a pile we called “The Hard Parts.” Once that book was finished, we looked at the now gigantic pile of hard parts and tried to figure out: why are these problems so difficult to solve in modern architectures?
We took all the examples and worked through them like architects, applying trade-off analysis for each situation, but also paying attention to the process we used to arrive at the trade-offs. One of our early revelations was the increasing importance of data in architecture decisions: who can/should access data, who can/should write to it, and how to manage the separation of analytical and operational data.
To that end, we asked experts in those fields to join us, which allows this book to fully incorporate decision making from both angles: architecture to data and data to architecture.
The result is this book: a collection of difficult problems in modern software architecture, the trade-offs that make the decisions hard, and ultimately an illustrated guide to show you how to apply the same trade-off analysis to your own unique problems.
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| Fundamentals of Software Architecture | Building Evolutionary Architectures | |
| Related Titles: | An Engineering Approach | Support Constant Change |
the book arrived with some damages such as folded page tips, some stains, the cover mistreated.
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