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Demystifying the Azure Well-Architected Framework: Guiding Principles and Design Best Practices for Azure Workloads

Programming

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Use the Azure well-architected framework to deploy your workloads in Azure and align them with Microsoft recommended best practices. This book takes a deep dive into the five architecture elements (cost optimization, performance efficiency, operational excellence, reliability, and security) and provides practical guidance on incorporating them into your architecture. The book starts with an introduction to the relevance of the well-architectured framework and why it should form the baseline of your design decisions when deploying applications in Azure. You will learn how customers can optimize the cost of deployment in Azure and understand all aspects of implementation. The book takes you through the practices and processes to be followed to run applications smoothly and you will understand the end-to-end process of design, deployment, and monitoring. You will go through paradigms for designing environments to meet different performance demands. The book covers how to build resilient and highly available applications in Azure with a sample configuration for monitoring. And you will learn how to enable security to ensure confidentiality and integrity of workloads in Azure. After reading this book, you will know the practical nuances of designing high-performing applications in the Microsoft cloud. What You Will Learn Understand the five pillars of the well-architected framework Use tools and services to optimize cost Design for performance efficiency Deal with threat vectors in the cloud Who This Book Is For Solution architects and cloud teams in Azure

Product Specifications

Format: paperback
ASIN: 1484271181
Category: Books > Subjects > Computing & Internet > Microsoft Windows > Microsoft > Access > Programming
Domain: Amazon UK
Release Date: 29 May 2021
Listed Since: 07 April 2021

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Demystifying the Azure Well-Architected Framework: Guiding Principles and Design Best Practices for Azure Workloads

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