Python has been part of the standard toolkit for systems administrators since it was created. In recent years there has been a shift in how servers are deployed and managed, and how code gets released due to the rise of cloud computing and the accompanying DevOps movement. The increased need for automation and speed of iteration has been a perfect use case for Python, cementing its position as a powerful tool for operations. In this episode Moshe Zadka reflects on his experiences using Python in a DevOps context and the book that he wrote on the subject. He also discusses the difference in what aspects of the language are useful as an introduction for system operators and where they can continue their learning.
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- Your host as usual is Tobias Macey and today I’m interviewing Moshe Zadke about his recent book DevOps In Python
- How did you get introduced to Python?
- How did you gain experience in managing systems with Python?
- What is DevOps?
- What makes Python a good fit for managing systems?
- What is unique to the devops/sysadmin domain in terms of what software is used and what aspects of the language are useful?
- What are the main ways that Python is used for managing servers and infrastructure?
- What are some of the most notable changes in the ways that Python is used for server administration over the past several years?
- How has Python3 impacted the lives of operators?
- What was your motivation for writing a book about Python focused specifically on DevOps and server automation?
- What are some of the tools that have been replaced in your own workflow over the years?
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