Hands-On Python for DevOps: Leverage Python's native libraries to streamline your workflow and save time with automation
by: Ankur Roy (Author)
Publisher:Packt Publishing - ebooks Account
Publication Date: 9 April 2024
Language:English
Print Length:196 pages
ISBN-10:1835081169
ISBN-13:9781835081167
Book Description
Unleash DevOps excellence with Python and tools built using it to elevate skills for seamless orchestration on local or cloud platforms (GCP, AWS, Azure)
Key FeaturesIntegrating Python into DevOps to streamline workflows, automate tasks, and enhance collaborationMerge the philosophies behind Python and DevOps into one coherent problem-solving methodLearn Python’s place in Infrastructure as Code (IaC), MLOps, Networking and many other realms
Book DescriptionPython as a language excels in DevOps with unparalleled libraries and support, preferred by problem solvers worldwide for a diverse array of tasks. This book will help you to understand the true flexibility of Python and its ability to be used in a variety of incredibly useful devops workflows and workloads along with examples of how to use them. In this book, you'll start by learning how the Python and DevOps philosophies intertwine with each other. You'll then explore how Python can be used to provision and manipulate VMs and other resources on the cloud to facilitate DevOps activities. With a few examples along the way, you will learn to automate DevOps tasks using Python. Later, you will learn where and how Python can be used to enhance and support CI/CD pipelines. You will discover how Python has been used in the development of the IaC process and how it relates to tools like Ansible, SaltStack and Terraform . In the concluding chapters, this book covers more advanced concepts such as MLOps, DataOps, Python’s integrations with generative AI along with more advanced concepts that the reader can begin to explore further in areas such as monitoring, logging, Kubernetes and many more. By the end of this book, you will know how to leverage Python in your DevOps-based workloads to make your life easier and to save your time.
What you will learnRelate and implement DevOps practices and principles using Python.Leverage Python to enhance your DevOps workloads.Create DevOps solutions using Python that enhance your workload.Understand the aims of DevOps and the mentality to achieve them.Use Python to automate DevOps tasks and increase productivityThe details and concepts behind DevSecOps, MLOps, DataOps and others.To use Python for containerized workloads in Docker and Kubernetes.
Who this book is forThis book is for individuals venturing into the DevOps sector, 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 resource to enhance their understanding of development practices and communicate more effectively with developers. Additionally, solutions architects, programmers, and anyone regularly engaging with DevOps solutions and Python will benefit from this hands-on guide.
Table of contentsDevOps core principlesQuick overview of PythonThe simplest ways to start using DevOps in Python immediatelyProvisioning resourcesManipulating resourcesSecurity and DevSecOps with PythonCreating efficient pipelines with Workflow rulesUnderstanding Event-driven architectureUsing Python for CI/CD PipelinesUse cases of Python in DevOps in major companiesMLOps and DataOpsHow Python integrates with IaC conceptsThe tools to take your DevOps to the next level
About the Author
Unleash DevOps excellence with Python and tools built using it to elevate skills for seamless orchestration on local or cloud platforms (GCP, AWS, Azure)
Key FeaturesIntegrating Python into DevOps to streamline workflows, automate tasks, and enhance collaborationMerge the philosophies behind Python and DevOps into one coherent problem-solving methodLearn Python’s place in Infrastructure as Code (IaC), MLOps, Networking and many other realms
Book DescriptionPython as a language excels in DevOps with unparalleled libraries and support, preferred by problem solvers worldwide for a diverse array of tasks. This book will help you to understand the true flexibility of Python and its ability to be used in a variety of incredibly useful devops workflows and workloads along with examples of how to use them. In this book, you'll start by learning how the Python and DevOps philosophies intertwine with each other. You'll then explore how Python can be used to provision and manipulate VMs and other resources on the cloud to facilitate DevOps activities. With a few examples along the way, you will learn to automate DevOps tasks using Python. Later, you will learn where and how Python can be used to enhance and support CI/CD pipelines. You will discover how Python has been used in the development of the IaC process and how it relates to tools like Ansible, SaltStack and Terraform . In the concluding chapters, this book covers more advanced concepts such as MLOps, DataOps, Python’s integrations with generative AI along with more advanced concepts that the reader can begin to explore further in areas such as monitoring, logging, Kubernetes and many more. By the end of this book, you will know how to leverage Python in your DevOps-based workloads to make your life easier and to save your time.
What you will learnRelate and implement DevOps practices and principles using Python.Leverage Python to enhance your DevOps workloads.Create DevOps solutions using Python that enhance your workload.Understand the aims of DevOps and the mentality to achieve them.Use Python to automate DevOps tasks and increase productivityThe details and concepts behind DevSecOps, MLOps, DataOps and others.To use Python for containerized workloads in Docker and Kubernetes.
Who this book is forThis book is for individuals venturing into the DevOps sector, 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 resource to enhance their understanding of development practices and communicate more effectively with developers. Additionally, solutions architects, programmers, and anyone regularly engaging with DevOps solutions and Python will benefit from this hands-on guide.
Table of contentsDevOps core principlesQuick overview of PythonThe simplest ways to start using DevOps in Python immediatelyProvisioning resourcesManipulating resourcesSecurity and DevSecOps with PythonCreating efficient pipelines with Workflow rulesUnderstanding Event-driven architectureUsing Python for CI/CD PipelinesUse cases of Python in DevOps in major companiesMLOps and DataOpsHow Python integrates with IaC conceptsThe tools to take your DevOps to the next level
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