Book Image

Azure Strategy and Implementation Guide, Fourth Edition - Fourth Edition

By : Aaditya Pokkunuri, Jack Lee, Greg Leonardo, Jason Milgram, David Rendón
Book Image

Azure Strategy and Implementation Guide, Fourth Edition - Fourth Edition

By: Aaditya Pokkunuri, Jack Lee, Greg Leonardo, Jason Milgram, David Rendón

Overview of this book

Microsoft Azure is a powerful cloud computing platform that offers a multitude of services and capabilities for organizations of any size moving to a cloud strategy. This fourth edition comes with the latest updates on cloud security fundamentals, hybrid cloud, cloud migration, Microsoft Azure Active Directory, and Windows Virtual Desktop. It encapsulates the entire spectrum of measures involved in Azure deployment that includes understanding Azure fundamentals, choosing a suitable cloud architecture, building on design principles, becoming familiar with Azure DevOps, and learning best practices for optimization and management. The book begins by introducing you to the Azure cloud platform and demonstrating the substantial scope of digital transformation and innovation that can be achieved with Azure's capabilities. The guide also acquaints you with practical insights into application modernization, Azure Infrastructure as a Service (IaaS) deployment, infrastructure management, key application architectures, best practices of Azure DevOps, and Azure automation. By the end of this book, you will have acquired the skills required to drive Azure operations from the planning and cloud migration stage to cost management and troubleshooting.
Table of Contents (10 chapters)
8
8. Conclusion
9
Index

Achieving cloud scale and maximizing performance

Here, we will look at how to achieve cloud scale and maximize performance once you have migrated your workload to Azure. We will start by looking at Azure scale and how autoscaling can help achieve this goal. We will then discuss the options available for compute and storage performance optimization.

Azure autoscaling

Autoscaling enables a system to adjust the resources required to meet the varying demand from users while controlling the costs associated with these resources. You can use autoscaling with many Azure services, such as Azure Virtual Machine Scale Sets. Autoscaling requires you to configure autoscale rules that specify the conditions under which resources should be added or removed.

Suppose you run an online specialty store. During holiday seasons, your website might experience a short-term increase in traffic. Such spikes can happen at any time, which makes it difficult to plan for potential spikes in traffic....