PY-304

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Formats: Asynchronous
Blended
Online
Onsite
Part-time
Level: Intermediate
Prerequisites:
Recommended Knowledge
Linux/Windows command line experience
Core Python

Formats: We offer our training content in a flexible format to suit your needs. Contact Us if you wish to know if we can accommodate your unique requirements.

Level: We are happy to customize course content to suit your skill level and learning goals. Contact us for a customized learning path.

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Python for DevOps (PY-304)

Target Audience: Aspiring DevOps engineers, Python developers transitioning to DevOps, system administrators.

Prerequisites: Python Fundamentals (PCEP level), basic Linux/Windows command-line knowledge.

Objective: Equip students with Python skills for automation, CI/CD, containerization, and cloud operations, preparing them for DevOps roles.

1: Python Automation and Scripting

Introduction to DevOps with Python

  • Role of Python in DevOps: automation, orchestration, monitoring.
  • Overview of DevOps tools (Jenkins, Docker, Kubernetes, AWS).

Automation Basics

  • Writing scripts with os, sys, subprocess for system tasks.
  • File handling: reading/writing logs, config files (configparser).
  • Practical: Automate file cleanup and log parsing.

Command-Line Interfaces

  • Building CLI tools with argparse and click.
  • Practical: Create a CLI for system monitoring (e.g., disk usage).

2: CI/CD Pipelines with Python

CI/CD Fundamentals

  • Concepts: continuous integration, delivery, deployment.
  • Tools: Jenkins, GitHub Actions, GitLab CI.

Python in CI/CD

  • Writing scripts to automate build/test/deployment tasks.
  • Interacting with Git using gitpython.
  • Practical: Script a pipeline to build and test a Python app.

Testing Automation

  • Unit testing with unittest and pytest.
  • Practical: Automate test suite execution in a CI pipeline.

3: Containerization and Orchestration

Docker with Python

  • Docker basics: containers, images, Dockerfiles.
  • Using docker-py to manage containers programmatically.
  • Practical: Write a script to build and run a Docker container.

Kubernetes with Python

  • Kubernetes basics: pods, deployments, services.
  • Using kubernetes Python client for cluster operations.
  • Practical: Automate pod scaling with a Python script.

Configuration Management

  • Managing config files with yaml or json.
  • Practical: Script dynamic configuration updates for containers.

 4: Cloud Integration and Monitoring

Cloud Automation with Python

  • Introduction to AWS, Azure, GCP SDKs (focus on boto3 for AWS).
  • Automating cloud resources: EC2 instances, S3 buckets.
  • Practical: Script deployment of an S3 bucket and file upload.

Monitoring and Logging

  • Using logging for DevOps pipelines.
  • Integrating with monitoring tools (e.g., Prometheus via prometheus-client).
  • Practical: Create a script to monitor CPU usage and log alerts.

Capstone Project

  • Build an end-to-end DevOps pipeline: automate build, test, containerize, deploy to cloud, and monitor.
  • Example: Deploy a Flask app with Docker, Kubernetes, and AWS, with automated monitoring.

Learning Outcomes

  • Automate system tasks and build CLI tools.
  • Implement CI/CD pipelines with Python.
  • Manage containers and Kubernetes clusters programmatically.
  • Integrate Python with cloud platforms for resource management.
  • Monitor and log DevOps workflows effectively.