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Mastering DevOps on Microsoft Power Platform

Mastering DevOps on Microsoft Power Platform

By : Uroš Kastelic, József Zoltán Vadkerti
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Mastering DevOps on Microsoft Power Platform

Mastering DevOps on Microsoft Power Platform

By: Uroš Kastelic, József Zoltán Vadkerti

Overview of this book

Mastering DevOps on Microsoft Power Platform is your guide to revolutionizing business-critical solution development. Written by two Microsoft Technology Specialists with extensive experience in enterprise-scale Power Platform implementations and DevOps practices, this book teaches you how to design, build, and secure efficient DevOps processes by adapting custom software development practices to the Power Platform toolset, dramatically reducing time, cost, and errors in app modernization and quality assurance. The book introduces application life cycle management (ALM) and DevOps-enabled architecture, design patterns, and CI/CD practices, showing you why companies adopt DevOps with Power Platform. You'll master environment and solution management using Dataverse, Git, the Power Platform CLI, Azure DevOps, and GitHub Copilot. Implementing the shift-left approach in DevSecOps using GitHub Advanced Security features, you’ll create a Power Platform tenant governed by controls, automated tests, and backlog management. You’ll also discover advanced concepts, such as fusion architecture, pro-dev extensibility, and AI-infused applications, along with tips to avoid common pitfalls. By the end of this book, you’ll be able to build CI/CD pipelines from development to production, enhancing the life cycle of your business solutions on Power Platform.
Table of Contents (18 chapters)
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1
Part 1:Understanding DevOps on Microsoft Power Platform
5
Part 2:Implementing DevOps on Microsoft Power Platform
11
Part 3:Exploring DevOps Best Practices and the Road Ahead

Looking Ahead with Copilots, ChatOps, and AI-Infused Applications

We are currently living in times wherein building applications augmented with artificial intelligence (AI) has become very straightforward. The ability to plug in large language models (LLMs) to our applications and enrich them with AI is unlocking new options and allowing organizations to innovate and redefine their business processes. This chapter will close this book by talking about the AI-infused low-code/no-code development approach. With the introduction of LLMs, such as OpenAI’s Generative Pre-trained Transformer (GPT) models, we have seen a massive shift in the tools that help makers and developers be more productive with their work and achieve outcomes faster. Microsoft Copilot is infusing AI into every Microsoft product, which helps makers and developers build even more apps with the no-code approach by using natural language to describe the desired state. We will dive into Copilot for Power Platform...

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