Testing and interacting with free & open operating systems using Python3
What you will learn
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
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- Elevate Your Python Prowess to System-Level Mastery: Transition from application development to robust system interaction, learning to command the underlying operating system directly from your Python scripts.
- Bridge the Dev-Ops Divide with Fluent Automation: Seamlessly integrate developer-centric Python logic with operational command-line power, creating efficient, automated workflows that span the entire software lifecycle.
- Architect Cross-Platform Automation Solutions: Design and implement automation scripts that reliably execute across various POSIX-compliant environments, including Linux, macOS, and even Windows with its evolving POSIX tools.
- Unlock the Full Potential of the Command Line: Move beyond basic shell usage to leverage the advanced capabilities of system commands for file manipulation, process management, network configuration, and more β all orchestrated by Python.
- Develop Resilient Infrastructure-as-Code Practices: Apply Python to define, provision, and manage your infrastructure, leading to reproducible environments and simplified deployments.
- Craft Sophisticated Monitoring and Reporting Tools: Build custom Python-driven utilities to monitor system health, collect performance metrics, and generate insightful reports, enhancing visibility into your operational landscape.
- Streamline CI/CD Pipelines with Pythonic Control: Discover how to use Python to script complex build, test, and deployment stages within continuous integration and continuous delivery workflows, making your pipelines more adaptable and intelligent.
- Gain Deeper Insights into Operating System Internals: Understand how various system components interact and how to inspect, control, and manipulate them programmatically, deepening your understanding of low-level system behavior.
- Harness Python for Advanced File and Process Management: Utilize Python to automate intricate file system operations, manage running processes, and handle inter-process communication, pushing the boundaries of what your scripts can achieve.
- Future-Proof Your Automation Skills with Industry Standards: Learn to interact with foundational system utilities and emerging de-facto standards that are critical for modern system administration and cloud engineering.
- Empower Your Development with Operational Agility: Equip yourself with the skills to rapidly diagnose system issues, automate routine administrative tasks, and deploy solutions with greater confidence and speed.
- Cultivate a Mindset for Scalable and Maintainable Automation: Learn best practices for structuring your automation code, ensuring readability, reusability, and maintainability as your systems grow in complexity.
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Pros:
- Accelerated Career Growth: Gain highly sought-after skills directly applicable to DevOps, Site Reliability Engineering (SRE), and advanced system administration roles.
- Enhanced Problem-Solving Capabilities: Equip yourself to tackle complex system-level challenges, automate sophisticated workflows, and debug issues more effectively across diverse operating environments.
- Future-Proof Skillset: Master the foundational tools and concepts that underpin modern cloud infrastructure, containerization, and infrastructure-as-code paradigms.
- Cross-Platform Portability: Develop automation scripts that are not tied to a single operating system, making your work more adaptable and efficient across different environments.
- Empowerment Through Automation: Transform manual, repetitive tasks into reliable, scalable, and auditable automated processes, freeing up valuable time and reducing human error.
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Cons:
- Significant Prerequisite Knowledge: This course assumes a robust understanding of Python programming (as implied by ‘Python 4000’), and familiarity with basic command-line concepts will be beneficial.
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