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SRE Mastery
SRE Mastery

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Python for SRE and DevOps Engineers

Table of Content

  1. Python Introduction
  2. Python Installation & various ways to run Python Programming
  3. Python Language Fundamentals
  4. Python Operators
  5. Python Input and Output Statements
  6. Python Flow Control part 1
  7. Python Flow Control Part 2
  8. Python Strings
  9. Python Data structure-list
  10. Python Data structure-Tuple
  11. Python Data structure-Set
  12. Python Data structure-Dictionary
  13. Python Function
  14. Python Modules
  15. Python Packages
  16. Python Exception Handling
  17. Python Logging
  18. Python Assertions
  19. Python File Handling
  20. Python OOPS
  21. Python Project 1
  22. Python Project 2
  23. Python Project 3
  24. Python Project 4
  25. Python Project 5

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Jonathan Cole

Python for SRE and DevOps Engineers

1. Python Introduction

  • Overview of Python's role in DevOps and SRE
  • Key benefits: automation, scripting, infrastructure management
  • Why Python is preferred for DevOps/SRE tasks

2. Python Installation & Setup

  • Installation on different operating systems
  • Virtual environments (venv, virtualenv)
  • Package managers (pip, conda)
  • IDE selection (VSCode, PyCharm)

3. Python Language Fundamentals

  • Variables and data types
  • Comments and documentation
  • PEP 8 style guide
  • Basic syntax and indentation

4. Python Operators

  • Arithmetic operators
  • Comparison operators
  • Logical operators
  • Bitwise operators
  • Identity and membership operators

5. Input/Output Operations

  • Command-line arguments (argparse)
  • Reading/writing to console
  • Working with environment variables
  • Configuration file handling (JSON, YAML)

6. Flow Control Part 1

  • if/elif/else statements
  • for loops
  • while loops
  • Loop control statements (break, continue)

7. Flow Control Part 2

  • List comprehensions
  • Generator expressions
  • Context managers (with statement)
  • Error handling patterns

8. String Operations

  • String manipulation
  • Regular expressions
  • Text processing
  • Template strings
  • Unicode handling

9. Lists

  • List operations and methods
  • Sorting and searching
  • List as stack/queue
  • Common list patterns in DevOps

10. Tuples

  • Immutable sequences
  • Named tuples
  • Tuple unpacking
  • Use cases in configuration

11. Sets

  • Set operations
  • Mathematical set operations
  • Efficient lookups
  • Removing duplicates

12. Dictionaries

  • Dictionary methods
  • Nested dictionaries
  • DefaultDict and OrderedDict
  • Configuration management

13. Functions

  • Function definition and arguments
  • Lambda functions
  • Decorators
  • Generators and iterators
  • Function documentation

14. Modules

  • Module imports
  • Creating modules
  • Package structure
  • Common DevOps modules (os, sys, subprocess)

15. Packages

  • Creating packages
  • Package distribution
  • Requirements.txt
  • Poetry and modern packaging

16. Exception Handling

  • Try/except blocks
  • Custom exceptions
  • Exception hierarchy
  • Best practices for error handling

17. Logging

  • Logging levels
  • Log formatting
  • Log handlers
  • Rotating logs
  • Structured logging

18. Assertions

  • Assert statements
  • Debugging techniques
  • Pre/post conditions
  • Contract programming

19. File Handling

  • File operations
  • CSV/JSON processing
  • Working with paths
  • Temporary files
  • File system operations

20. Object-Oriented Programming

  • Classes and objects
  • Inheritance
  • Composition
  • Design patterns for DevOps

Projects

Project 1: System Monitoring Script

  • CPU/Memory monitoring
  • Process management
  • Alert generation
  • Metrics collection

Project 2: Automated Deployment Tool

  • Git integration
  • Docker container management
  • Configuration validation
  • Deployment workflows

Project 3: Log Analysis Tool

  • Log parsing
  • Pattern matching
  • Anomaly detection
  • Report generation

Project 4: Infrastructure as Code

  • AWS/Azure SDK usage
  • Infrastructure provisioning
  • Resource management
  • State handling

Project 5: CI/CD Pipeline Automation

  • Jenkins/GitHub Actions integration
  • Build automation
  • Test execution
  • Deployment orchestration

Each section includes:

  • Practical examples
  • Best practices
  • Common pitfalls
  • Real-world applications
  • Exercises and solutions