Python 4000: Linux Commands & DevOps Automation


Testing and interacting with free & open operating systems using Python3

What you will learn


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Understand what “DevOps” is, as well as how to perform “OpsDev,” “O2,” “D2,” R&D activities

Learn how to use vital Linux / POSIX inspired operating system (“Ops”) commands

Discover how to re-use operating system commands from Python (“Dev”)

Discover key differences between POSIX tooling on Microsoft Windows, macOS, and Linux

Use Python to automate powerfull POSIX shells, commands, & tools

Learn de-facto standard utilties & commands that are not yet part of POSIX

Add-On Information:

  • Strategic Command-Line Mastery: Elevate your command-line proficiency beyond basic execution, learning to strategically integrate powerful system commands into automated Python workflows for maximum operational impact.
  • Architecting Scalable Automation: Design and implement robust, scalable automation frameworks with Python as the orchestrator, building sophisticated systems for continuous integration, deployment, and operational task management.
  • Advanced OS Interaction: Master programmatic interaction with the underlying operating system, encompassing process management, inter-process communication, file system manipulation, and network diagnostics through Python.
  • Transforming Operations: Convert manual, error-prone operational procedures into meticulously engineered, repeatable, and auditable Python-powered automation routines, significantly boosting efficiency and reducing human error.
  • Cross-Environment Automation: Develop highly portable automation solutions that seamlessly adapt to specific command-line environments across Linux, macOS, and Windows (via WSL), ensuring broad applicability and versatility.
  • Proactive System Health: Implement intelligent Python scripts to monitor system health, collect performance metrics, and automate proactive responses, fostering more resilient and self-healing infrastructure.
  • Secure Infrastructure with Code: Leverage Python and the command line to automate security best practices, including configuration auditing, vulnerability scanning, and incident response, integrating security deeply into your DevOps pipelines.
  • Unlocking DevOps Synergy: Understand the symbiotic relationship between development and operations by actively building and deploying Python applications that manage, monitor, and scale infrastructure components.
  • Custom CLI Utility Development: Gain skills to develop powerful custom command-line interface (CLI) tools in Python, extending existing system utilities and precisely tailoring them to your specific project needs.
  • Integrating Open Source Ecosystems: Discover how to effectively automate and integrate a wide array of industry-standard and emerging open-source command-line tools foundational to modern cloud-native and on-premise DevOps practices.
  • Pros: Highly practical, hands-on skills directly applicable to real-world job roles in SRE, DevOps, and Cloud Engineering.
  • Pros: Develops a powerful “automation first” mindset crucial for modern IT infrastructure management.
  • Pros: Equips learners with the ability to bridge the gap between application development and operational stability.
  • Pros: Fosters a deep understanding of core operating system principles through practical application.
  • Pros: Builds a strong foundation for advanced topics like container orchestration and cloud automation.
  • Cons: Requires a solid existing understanding of Python fundamentals and basic programming logic to fully benefit.
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