Wow! eBook
Python for DevOps:Master automation, CI/CD pipelines, and containerization with Python DevOps strategies (English Edition)
by: Varghese Chacko (Author)
Publication Date: 2025-03-24
Language: English
Print Length: 648 pages
ISBN-10: 9365895391
ISBN-13: 9789365895391
Book Description
DescriptionPython has emerged as a powerhouse for DevOps, enabling efficient automation across various stages of software development and deployment. This book bridges the gap between Python programming and DevOps practices, providing a practical guide for automating infrastructure, workflows, and processes, empowering you to streamline your development lifecycle.This book begins with foundational Python concepts and their application in Linux system administration and data handling. Progressing through command line tool development using argparse and Click, package management with pip, Pipenv, and Docker, you will explore automating cloud infrastructure with AWS, GCP, Azure, and Kubernetes. The book covers configuration management with Ansible, Chef, and Puppet, and CI/CD pipelines using Jenkins, GitLab, and GitHub. You will also learn monitoring with Prometheus, Grafana, and OpenTelemetry, MLOps with Kubeflow and MLflow, serverless architecture using AWS Lambda, Azure Functions and Google Cloud Functions, and security automation with DevSecOps practices. The real-world project in this book will ensure the practical application of your learning.By mastering the techniques within this guide, you will gain the expertise to automate complex DevOps workflows with Python, enhancing your productivity and ensuring robust and scalable deployments, making you a highly competent DevOps professional.What you will learn● Automate DevOps tasks using Python for efficiency and scalability.● Implement infrastructure as code (IaC) with Python, Terraform, and Ansible.● Orchestrate containers with Python, Docker, Kubernetes, and Helm charts.● Manage cloud infrastructure on AWS, Azure, and GCP using Python.● Enhance security, monitoring, and compliance with Python automation tools.● Monitor with Prometheus/Grafana/OpenTelemetry, implement MLOps using Kubeflow/MLflow, and deploy serverless architecture.● Apply real-world project skills, and integrate diverse DevOps automations using Python.● Ensure robust code quality, apply design patterns, secure secrets, and scale script optimization.Who this book is forThis book is for DevOps engineers, system administrators, software developers, students, and IT professionals seeking to automate infrastructure,deployments, and cloud management using Python. Familiarity with Python, Linux commands, and DevOps concepts is beneficial, but the book is designed to provide guidance to all.Table of Contents1. Introduction to Python and DevOps2. Python for Linux System Administration3. Automating Text and Data with Python4. Building and Automating Command-line Tools5. Package Management and Environment Isolation6. Automating System Administration Tasks7. Networking and Cloud Automation8. Container Orchestration with Kubernetes9. Configuration Management Automation10. Continuous Integration and Continuous Deployment11. Monitoring, Instrumentation, and Logging12. Implementing MLOps13. Serverless Architecture with Python14. Security Automation and Compliance15. Best Practices and Patterns in Automating with Python16. Deploying a Blog in Microservices Architecture
Editorial Reviews
DescriptionPython has emerged as a powerhouse for DevOps, enabling efficient automation across various stages of software development and deployment. This book bridges the gap between Python programming and DevOps practices, providing a practical guide for automating infrastructure, workflows, and processes, empowering you to streamline your development lifecycle.This book begins with foundational Python concepts and their application in Linux system administration and data handling. Progressing through command line tool development using argparse and Click, package management with pip, Pipenv, and Docker, you will explore automating cloud infrastructure with AWS, GCP, Azure, and Kubernetes. The book covers configuration management with Ansible, Chef, and Puppet, and CI/CD pipelines using Jenkins, GitLab, and GitHub. You will also learn monitoring with Prometheus, Grafana, and OpenTelemetry, MLOps with Kubeflow and MLflow, serverless architecture using AWS Lambda, Azure Functions and Google Cloud Functions, and security automation with DevSecOps practices. The real-world project in this book will ensure the practical application of your learning.By mastering the techniques within this guide, you will gain the expertise to automate complex DevOps workflows with Python, enhancing your productivity and ensuring robust and scalable deployments, making you a highly competent DevOps professional.What you will learn● Automate DevOps tasks using Python for efficiency and scalability.● Implement infrastructure as code (IaC) with Python, Terraform, and Ansible.● Orchestrate containers with Python, Docker, Kubernetes, and Helm charts.● Manage cloud infrastructure on AWS, Azure, and GCP using Python.● Enhance security, monitoring, and compliance with Python automation tools.● Monitor with Prometheus/Grafana/OpenTelemetry, implement MLOps using Kubeflow/MLflow, and deploy serverless architecture.● Apply real-world project skills, and integrate diverse DevOps automations using Python.● Ensure robust code quality, apply design patterns, secure secrets, and scale script optimization.Who this book is forThis book is for DevOps engineers, system administrators, software developers, students, and IT professionals seeking to automate infrastructure,deployments, and cloud management using Python. Familiarity with Python, Linux commands, and DevOps concepts is beneficial, but the book is designed to provide guidance to all.Table of Contents1. Introduction to Python and DevOps2. Python for Linux System Administration3. Automating Text and Data with Python4. Building and Automating Command-line Tools5. Package Management and Environment Isolation6. Automating System Administration Tasks7. Networking and Cloud Automation8. Container Orchestration with Kubernetes9. Configuration Management Automation10. Continuous Integration and Continuous Deployment11. Monitoring, Instrumentation, and Logging12. Implementing MLOps13. Serverless Architecture with Python14. Security Automation and Compliance15. Best Practices and Patterns in Automating with Python16. Deploying a Blog in Microservices Architecture
