Hands-On Python for DevOps
Leverage Python's native libraries to streamline your workflow and save time with automation
Published on 23. September 2024
220 pages
978-1-83508-149-5 (ISBN)
Description
Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and Azure
Key Features
Integrate Python into DevOps for streamlined workflows, task automation, and improved collaboration
Combine the principles of Python and DevOps into a unified approach for problem solving
Learn about Python's role in Infrastructure as Code (IaC), MLOps, networking, and other domains
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples. You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you'll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python's role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python's integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more. By the end of this book, you'll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learn
Implement DevOps practices and principles using Python
Enhance your DevOps workloads with Python
Create Python-based DevOps solutions to improve your workload efficiency
Understand DevOps objectives and the mindset needed to achieve them
Use Python to automate DevOps tasks and increase productivity
Explore the concepts of DevSecOps, MLOps, DataOps, and more
Use Python for containerized workloads in Docker and Kubernetes
Who this book is forThis book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.
Key Features
Integrate Python into DevOps for streamlined workflows, task automation, and improved collaboration
Combine the principles of Python and DevOps into a unified approach for problem solving
Learn about Python's role in Infrastructure as Code (IaC), MLOps, networking, and other domains
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples. You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you'll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python's role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python's integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more. By the end of this book, you'll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learn
Implement DevOps practices and principles using Python
Enhance your DevOps workloads with Python
Create Python-based DevOps solutions to improve your workload efficiency
Understand DevOps objectives and the mindset needed to achieve them
Use Python to automate DevOps tasks and increase productivity
Explore the concepts of DevSecOps, MLOps, DataOps, and more
Use Python for containerized workloads in Docker and Kubernetes
Who this book is forThis book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.
More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
7,68 MB
ISBN-13
978-1-83508-149-5 (9781835081495)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Ankur Roy
Hands-On Python for DevOps
Leverage Python's native libraries to streamline your workflow and save time with automation
Book
03/2024
Packt Publishing
€46.40
Shipment within 3-4 weeks
Person
Roy Ankur :
Ankur Roy is a Solutions Architect at Online Partner AB in Stockholm, Sweden. Prior to this, he worked as a Software Engineer at Genese Solution in Kathmandu, Nepal. His areas of expertise include cloud-based solutions and workloads in a diverse range of fields such as development, DevOps, and security, among others. Ankur is an avid blogger, podcaster, content creator, and contributing member of the Python, DevOps, and cloud computing community. He has completed all the available certifications in Google Cloud and several others in AWS and Azure as well. Moreover, he is an AWS Community Builder.
Ankur Roy is a Solutions Architect at Online Partner AB in Stockholm, Sweden. Prior to this, he worked as a Software Engineer at Genese Solution in Kathmandu, Nepal. His areas of expertise include cloud-based solutions and workloads in a diverse range of fields such as development, DevOps, and security, among others. Ankur is an avid blogger, podcaster, content creator, and contributing member of the Python, DevOps, and cloud computing community. He has completed all the available certifications in Google Cloud and several others in AWS and Azure as well. Moreover, he is an AWS Community Builder.
Content
Table of Contents
Introducing DevOps Principles
Talking about Python
The Simplest Ways to Start Using DevOps in Python Immediately
Provisioning Resources
Manipulating Resources
Security and DevSecOps with Python
Automating Tasks
Understanding Event-Driven Architecture
Using Python for CI/CD Pipelines
Common DevOps Use Cases in Some of the Biggest Companies in the World
MLOps and DataOps
How Python Integrates with IaC Concepts
The Tools to Take Your DevOps to the Next Level
Introducing DevOps Principles
Talking about Python
The Simplest Ways to Start Using DevOps in Python Immediately
Provisioning Resources
Manipulating Resources
Security and DevSecOps with Python
Automating Tasks
Understanding Event-Driven Architecture
Using Python for CI/CD Pipelines
Common DevOps Use Cases in Some of the Biggest Companies in the World
MLOps and DataOps
How Python Integrates with IaC Concepts
The Tools to Take Your DevOps to the Next Level
