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Microsoft Copilot in Azure (eBook)

AI-powered cloud automation and optimization
eBook Download: EPUB
2025 | 1. Auflage
258 Seiten
Packt Publishing (Verlag)
978-1-83620-024-6 (ISBN)

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Microsoft Copilot in Azure -  Steve Miles,  David Rendon
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Master Microsoft Copilot in Azure, the intelligent assistant transforming how you design, deploy, and manage cloud infrastructure. This practical guide empowers Azure architects, DevOps engineers, and cloud consultants to optimize resource usage, enhance security, and reduce costs with AI-powered support across the Azure platform.
Starting with a solid foundation in concepts like LLMs (large language models) and the architecture of Copilot in Azure, you'll quickly progress to advanced use cases-from automated deployments and AKS cluster management to real-time monitoring, database optimization, and compliance enforcement using Microsoft Defender for Cloud and Azure Policy.
The book uses step-by-step examples and best practices to guide you in utilizing Copilot across services such as Azure Functions, App Service, Storage Accounts, and SQL/MySQL databases. By the end of this book, you'll have gained the expertise to scale cloud operations seamlessly, improve uptime, and accelerate secure delivery pipelines, all powered by AI-driven insights.


Optimize Azure cloud operations with Microsoft Copilot by using natural language to automate deployments, cut costs, and resolve issues efficiently with AI-driven insightsKey FeaturesImplement AI-powered infrastructure management with Microsoft Copilot to deploy, scale, and optimize AzureEnable DevOps workflow acceleration using Copilot code suggestions, automation, and real-world scenariosEnsure security and compliance using AI insights, Azure Policy, and Defender for Cloud integrationGet with your book: PDF copy, AI assistant, and next-gen reader freeBook DescriptionMaster Microsoft Copilot in Azure, the intelligent assistant transforming how you design, deploy, and manage cloud infrastructure. This practical guide empowers Azure architects, DevOps engineers, and cloud consultants to optimize resource usage, enhance security, and reduce costs with AI-powered support across the Azure platform. Starting with a solid foundation in concepts like LLMs (large language models) and the architecture of Copilot in Azure, you ll quickly progress to advanced use cases from automated deployments and AKS cluster management to real-time monitoring, database optimization, and compliance enforcement using Microsoft Defender for Cloud and Azure Policy. The book uses step-by-step examples and best practices to guide you in utilizing Copilot across services such as Azure Functions, App Service, Storage Accounts, and SQL/MySQL databases. By the end of this book, you'll have gained the expertise to scale cloud operations seamlessly, improve uptime, and accelerate secure delivery pipelines, all powered by AI-driven insights.What you will learnSet up and configure Microsoft Copilot in the Azure PortalDeploy and manage Azure Kubernetes Service (AKS) and App Services using CopilotIntegrate Copilot with Azure Functions, Blob Storage, and Azure SQLSecure resources using Microsoft Defender for Cloud and compliance policiesMonitor cloud workloads and troubleshoot issues using Copilot diagnosticsLeverage AI-driven cost optimization and performance recommendationsStrengthen cloud security posture using AI-enhanced threat detection and remediationMaster prompt engineering techniques to get the most accurate and effective results from CopilotWho this book is forThis book is for Azure architects, engineers, administrators, and consultants looking to enhance their Azure environments using AI. You ll discover how Microsoft Copilot simplifies complex tasks, improves efficiency, and helps manage resources more intelligently. A basic understanding of Azure services and cloud infrastructure is recommended to get the most from this guide.]]>

Preface


This book provides you with a clear and structured path to working with Copilot in Azure. Throughout its chapters, you will acquire the knowledge and skills to partner with Copilot in Azure effectively.

We will start with foundational concepts and build up to advanced topics to fully understand Copilot in Azure. This book empowers you to fully comprehend Copilot in Azure through practical examples and step-by-step instructions, ensuring a hands-on and immersive learning experience.

By the time you reach the final pages of this book, you will have acquired the knowledge and expertise needed to leverage Copilot in Azure and its integrations with other services.

Operating a cloud environment with the assistance of AI has become indispensable for organizations of all sizes, and Copilot in Azure is at the forefront of this revolution. You will discover techniques and best practices for utilizing Copilot in Azure to foster innovation and organizational success. Ultimately, this book will equip you with the tools and knowledge needed to leverage Copilot Azure in your daily workflow.

Who this book is for


This book is targeted toward Azure architects and developers who build cloud-based computing services or focus on deploying and managing applications and services in Microsoft Azure, responsible for various IT operations, including budgeting, business continuity, governance, identity, networking, security, and automation. It’s for people with experience in operating systems, virtualization, cloud infrastructure, storage structures, and networking, who want to learn how to implement best practices in the Azure cloud using Copilot in Azure.

What this book covers


Chapter 1, Understanding Microsoft Copilot in Azure, provides a foundational understanding of Microsoft Copilot in Azure. It starts by covering the impact of AI and automation in cloud operations, emphasizing the importance of these technologies in modern IT environments

Chapter 2, Getting Started with Microsoft Copilot in Azure, explains how to start with Microsoft Copilot in the Azure portal. It provides a step-by-step walk-through on the initial setup and configuration settings for optimal use.

Chapter 3, Managing Access to Microsoft Copilot in Azure, explores the access management features of Microsoft Copilot in Azure and explains how to manage user permissions securely through role-based access control.

Chapter 4, Deploying and Managing Cloud Infrastructure – Part 1, guides you through the process of starting with Microsoft Copilot in Azure to deploy and manage infrastructure, including storage and virtual machines.

Chapter 5, Deploying and Managing Cloud Infrastructure – Part 2, guides you through the process of managing Azure Kubernetes and Azure App Service.

Chapter 6, Improving Development Efficiency, focuses on how Microsoft Copilot in Azure and AI Shell can help you enhance development workflows.

Chapter 7, Advanced Data Management with Microsoft Copilot in Azure, focuses on enhancing data management for Azure Database for MySQL and Azure SQL Database using Microsoft Copilot. Topics include data optimization, performance tuning with AI-driven insights, and practical data management examples.

Chapter 8, Exploring Real-Time Monitoring and Troubleshooting, explores the capabilities of Microsoft Copilot in Azure for real-time monitoring and diagnostics of Azure resources. It covers the utilization of AI-driven insights for proactive management and optimization of cloud infrastructure, detailing troubleshooting techniques and the use of Copilot for ensuring high availability and reliability.

Chapter 9, Scaling and Optimizing Cloud Operations, discusses strategies for scaling and optimizing cloud infrastructure to handle growing and fluctuating business demands using Microsoft Copilot. It provides insights into resource management techniques and the application of AI-driven recommendations from Copilot to make strategic decisions regarding scaling and optimization.

Chapter 10, Integrating AI-Driven Insights for Cost Management, focuses on leveraging Microsoft Copilot to manage and optimize cloud costs effectively. It covers topics such as interpreting cost metrics, forecasting and budgeting, and setting cost alerts using AI-driven insights.

Chapter 11, Implementing Security Measures with Microsoft Copilot in Azure, focuses on how to meet compliance and organizational standards using Copilot in Azure. This chapter will also provide practical examples of Copilot in Azure to improve your organization’s security posture by getting recommendations on security policies.

Chapter 12, Putting It All Together, provides you with a summary of the previously revised chapters and encourages you to continue learning and experimenting with Copilot in Azure. We will also share additional reading materials, tools, and online resources to improve your learning experience.

To get the most out of this book


You will need to have an understanding of the basics of Azure and its main services, such as Azure App Service, Azure storage accounts, Azure Kubernetes, databases, and tools such as Azure PowerShell, Azure CLI, and the Azure portal.

Download the example code files


The code bundle for the book is hosted on GitHub at https://github.com/PacktPublishing/Microsoft-Copilot-in-Azure. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing. Check them out!

Conventions used


There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. For example: “Is my East US resource group running smoothly?"

Any command-line input or output is written as follows:

Invoke-Expression "& { $(Invoke-RestMethod 'https://aka.ms/installaishell.ps1') }"

Bold: Indicates a new term, an important word, or words that you see on the screen. For instance, words in menus or dialog boxes appear in the text like this. For example: “In the left-hand menu pane, select Access control (IAM)

Warnings or important notes appear like this.

Get in touch


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Erscheint lt. Verlag 12.9.2025
Vorwort Peter De Tender
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 1-83620-024-2 / 1836200242
ISBN-13 978-1-83620-024-6 / 9781836200246
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