Kill It with Fire (No Starch Press)
Friday, 16 April 2021

The subtitle of this book explains what it covers - Manage Aging Computer Systems (and Future Proof Modern Ones). “Kill it with fire,” the typical first reaction to a legacy system falling into obsolescence, is a knee-jerk approach that often burns through tons of money and time only to result in a less efficient solution. In this book Marianne Bellotti offers a far more forgiving modernization framework, laying out smart value-add strategies and proven incremental techniques that work equally well for ancient systems and brand-new ones.

<ASIN:1718501188>

Bellotti distills key lessons and insights from her experience restoring some of the world’s oldest, messiest computer networks into practical, research-backed guidance on topics from “chaos” testing solutions to building momentum-driven teams and effective communication structures.

Author: Marianne Bellotti
Publisher: No Starch Press
Date: March 2021
Pages: 248
ISBN: 978-1718501188
Print: 1718501188
Kindle: B08CTFY4JP
Audience: Developers renovating aging systems
Level: Introductory/Intermediate
Category: Methodology

  • Tips and best practices for assessing architecture and testing assumptions
  • How to avoid trends and pick the right modernization solutions for your specific needs
  • How to determine whether your migrations will add value before you invest in them
  • Critical considerations every organization should weigh before moving data to the cloud
  • Team-based strategies and motivational tricks for keeping modernization plans on track
  • Key outcomes and checklists for determining when a project is finished

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Software Mistakes and Tradeoffs (Manning)

Author: Tomasz Lelek and Jon Skeet
Publisher: Manning
Date: June 2022
Pages: 426
ISBN: 978-1617299209
Print: 1617299200
Audience: C# developers
Rating: 4
Reviewer: Mike James
We all make mistakes - do you want to read about them?



Python All-in-One, 2nd Ed (For Dummies)

Authors: John Shovic and Alan Simpson
Publisher: For Dummies
Date: April 2021
Pages: 720
ISBN: 978-1119787600
Print: 1119787602
Kindle: B091DGDLK8
Audience: People wanting to learn Python
Rating: 2
Reviewer: Mike James
All-in-one refers to the fact that this is seven books put together - why?


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