Optimizing Microsoft Azure Workloads

Optimizing Microsoft Azure Workloads

eBook Details:

  • Paperback: 240 pages
  • Publisher: WOW! eBook (August 11, 2023)
  • Language: English
  • ISBN-10: 1837632928
  • ISBN-13: 978-1837632923

eBook Description:

Optimizing Microsoft Azure Workloads: Master Azure Well-Architected Framework and improve your optimization skills by enhancing the quality of your workloads

It’s easy to learn and deploy resources in Microsoft Azure, without worrying about resource optimization. However, for production or mission critical workloads, it’s crucial that you follow best practices for resource deployment to attain security, reliability, operational excellence and performance. Apart from these aspects, you need to account for cost considerations, as it’s the leading reason for almost every organization’s cloud transformation.

In this book, you’ll learn to leverage Microsoft Well-Architected Framework to optimize your workloads in Azure. This Framework is a set of recommended practices developed by Microsoft based on five aligned pillars; cost optimization, performance, reliability, operational excellence, and security. You’ll explore each of these pillars and discover how to perform an assessment to determine the quality of your existing workloads. Through the book, you’ll uncover different design patterns and procedures related to each of the Well-Architected Framework pillars.

  • Dive deep into the Azure Well-Architected Framework
  • Explore the differences between Cloud Adoption Framework and Well-Architected Framework
  • Understand the pillars of the Well-Architected Framework (WAF)
  • Discover varied techniques to improve the cost profile of your workload
  • Optimize your workflows using Azure Advisor and its score
  • Plan and prioritize the implementation of security recommendations from WAF assessments

By the end of this Optimizing Microsoft Azure Workloads book, you’ll be well-equipped to collect and assess data from an Azure environment and perform the necessary upturn of your Azure workloads.

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