Kill It With Fire

Author: Marianne Bellotti
Publisher: No Starch Press
Pages: 248
ISBN: 978-1718501188
Print: 1718501188
Kindle: B08CTFY4JP
Audience: Developers renovating aging systems
Rating: 4.5
Reviewer: Kay Ewbank

The subtitle of this book is "Manage aging computer systems and future proof modern ones". This sounds a tall order - can the author go beyond amusing anecdotes to provide useful advice?

The book title comes from the initial kneejerk reaction many of us have felt when faced with an old system that we've been asked to modernize. In the introduction, Bellotti admits many software engineers regard legacy modernization as slow-moving career suicide, but is clear that in her opinion there are better ways.

 

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The initial chapters of the book look at modern computing trends and best practices, and considers how we decided to develop the legacy systems that the reader is being asked to modernize.

Chapter three uses the example of real (anonymous) computer systems to illustrate three kinds of common problems - technical debt, performance issues and system stability. By technical debt, Berllotti means existing problems such as earlier partial migrations, 'quick patches' that fixed a specific problem in the past, and out-of-date or unnecessary dependencies.
 

The next chapter discusses why it's hard to modernize legacy systems, and why the process fails so often. Bellotti then moves on to look at how to gain momentum for the modernization task, and how to keep things going. A useful part of this chapter is various conditions that can either bring a project to a halt or speed things up. 

In a tacit acknowledgement of how things go wrong, Bellotti next considers what to do if you have to come into a modernization project that is under way and stalled. This is followed by a chapter on design, and how to incorporate it into a modernization project.

Chapter 8 discusses the benefits of breaking systems, and not being afraid of failure, with a look at chaos testing and how to make these ideas palatable to reluctant managers.

A chapter on how to recognize success and how to define the criteria for when a project is 'finished' is followed by a final chapter on strategies to make the software you design more maintainable and hopefully future proof.

I enjoyed reading this book. The author makes the subject accessible and at times amusing, though some descriptions made me feel very glad I'm not responsible for the work of getting that system modernized. There are some good ideas that a reader could implement when working on modernizing legacy systems, but the reality remains that this is a tough task. Perhaps the best use of this book would be to make sure your managers read it so they don't think they can just say 'modernize it' and you'll be able to wave a magic wand.

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Expert Performance Indexing in SQL Server 2019

Author: Jason Strate
Publisher: Apress
Pages: 615
ISBN: 978-1484254639
Print: 1484254635
Kindle: B0825PBF8R
Audience: Performance DBAs/Developers
Rating: 4.5
Reviewer: Ian Stirk 

This book discusses indexes, a primary means of improving performance in SQL Server, how does it fare? 



Mathematics for Machine Learning

Authors: Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong
Publisher: Cambridge University Press
Pages: 398
ISBN: 978-1108455145
Print: 110845514X
Kindle: B083M7DBP6
Audience: Developers interested in machine learning
Rating: 3.5
Reviewer: Mike James
Lots of people need to learn the math behind mach [ ... ]


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