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Offensive Security Using Python

You're reading from   Offensive Security Using Python A hands-on guide to offensive tactics and threat mitigation using practical strategies

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835468166
Length 248 pages
Edition 1st Edition
Languages
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Authors (2):
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Rejah Rehim Rejah Rehim
Author Profile Icon Rejah Rehim
Rejah Rehim
Manindar Mohan Manindar Mohan
Author Profile Icon Manindar Mohan
Manindar Mohan
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1:Python for Offensive Security
2. Chapter 1: Introducing Offensive Security and Python FREE CHAPTER 3. Chapter 2: Python for Security Professionals – Beyond the Basics 4. Part 2: Python in Offensive Web Security
5. Chapter 3: An Introduction to Web Security with Python 6. Chapter 4: Exploiting Web Vulnerabilities Using Python 7. Chapter 5: Cloud Espionage – Python for Cloud Offensive Security 8. Part 3: Python Automation for Advanced Security Tasks
9. Chapter 6: Building Automated Security Pipelines with Python Using Third-Party Tools 10. Chapter 7: Creating Custom Security Automation Tools with Python 11. Part 4: Python Defense Strategies for Robust Security
12. Chapter 8: Secure Coding Practices with Python 13. Chapter 9: Python-Based Threat Detection and Incident Response 14. Index 15. Other Books You May Enjoy

Ensuring reliability and resilience in automated workflows

Reliability and resilience are fundamental aspects of any automated workflow, especially in the context of DevOps, where CI/CD pipelines are prevalent. In this section, we will delve into various strategies and best practices that you can use to ensure the reliability and resilience of your automated workflows.

Robust error-handling mechanisms

Error handling is crucial in automated workflows to gracefully manage unexpected failures and errors. The following are some robust error-handling mechanisms:

  • Exception handling: Implement try-except blocks to catch and handle exceptions that may occur during script execution. This allows for graceful degradation and prevents the entire workflow from failing due to isolated errors.
  • Logging: Incorporate logging mechanisms to record errors, warnings, and informational messages. Detailed logs facilitate troubleshooting and provide valuable insights into the execution flow...
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