Hands-On Python for DevOps

Auteur

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.

Texte du rabat

Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and AzureKey FeaturesIntegrate 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 Description Python 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 learnImplement 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 for This 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.Table of ContentsIntroducing 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