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Hands-On Python for DevOps

You're reading from   Hands-On Python for DevOps Leverage Python's native libraries to streamline your workflow and save time with automation

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835081167
Length 220 pages
Edition 1st Edition
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Author (1):
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Ankur Roy Ankur Roy
Author Profile Icon Ankur Roy
Ankur Roy
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Table of Contents (19) Chapters Close

Preface 1. Part 1: Introduction to DevOps and role of Python in DevOps
2. Chapter 1: Introducing DevOps Principles FREE CHAPTER 3. Chapter 2: Talking about Python 4. Chapter 3: The Simplest Ways to Start Using DevOps in Python Immediately 5. Chapter 4: Provisioning Resources 6. Part 2: Sample Implementations of Python in DevOps
7. Chapter 5: Manipulating Resources 8. Chapter 6: Security and DevSecOps with Python 9. Chapter 7: Automating Tasks 10. Chapter 8: Understanding Event-Driven Architecture 11. Chapter 9: Using Python for CI/CD Pipelines 12. Part 3: Let’s Go Further, Let’s Build Bigger
13. Chapter 10: Common DevOps Use Cases in Some of the Biggest Companies in the World 14. Chapter 11: MLOps and DataOps 15. Chapter 12: How Python Integrates with IaC Concepts 16. Chapter 13: The Tools to Take Your DevOps to the Next Level 17. Index 18. Other Books You May Enjoy

Validating and verifying container images with Binary Authorization

The amount of time I have now spent harping on about containers has probably clued you into the fact that containers may be somewhat important. Containers are, of course, an encapsulation of all the resource requirements and libraries that are specifically needed to run one service in an application. Containers being isolated from each other results in the elimination of conflict between the libraries required to run the services in each container, effectively creating an isolated system for each service in an overall large system or application.

However, this also presents a two-fold vulnerability: complexity and a larger threat vector in some circumstances. Handling all of these containers and the complex underlying libraries that lie within them (thus the need for Kubernetes) can be a difficult task. Managing these complex systems improperly can lead to the creation of structural and informational vulnerabilities...

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