Book Image

The Road to Azure Cost Governance

By : Paola E. Annis, Giuliano Caglio
Book Image

The Road to Azure Cost Governance

By: Paola E. Annis, Giuliano Caglio

Overview of this book

Cloud teams and ICT cost controllers working with Azure will be able to put their knowledge to work with this practical guide, introducing a process model for structured cost governance. The Road to Azure Cost Governance is a must-read if you find yourself facing the harsh reality of monthly cloud costs gradually getting out of control. Starting with how resources are created and managed, everything you need to know in order to track, display, optimize, rightsize, and clean up cloud resources will be tackled with a workflow approach that will leave the choice of operation to you (be it the Azure CLI, automation, logic apps, or even custom code). Using real-world datasets, you'll learn everything from basic cost management to modeling your cloud spend across your technical resources in a sustainable way. The book will also show you how to create a recursive optimization process that will give you full control of spending and savings, while helping you reserve budget for future cloud projects and innovation. By the end of this Azure book, you'll have a clear understanding and control of your cloud spend along with knowledge of a number of cost-saving techniques used by companies around the world, application optimization patterns, and the carbon impact of your cloud infrastructure.
Table of Contents (14 chapters)
Section 1: Cloud Cost Management
Section 2: Cloud Cost Savings
Section 3: Cost- and Carbon-Aware Cloud Architectures

Optimizing your database for costs

We often see that customers migrate to cloud applications that rely on old databases. Sometimes, even cloud-native applications are developed using old patterns for data handling, mostly because companies have a history that needs to be retained and cannot be wiped out by a new database or application.

But an old and stratified database has its drawbacks: queries are slow and resource-intensive, so typically, the reaction is to add more resources and scale vertically, which is not what this section is about. You need to consider optimizing your database so that your application is leaner and faster, but mostly so that you will save money by downgrading the infrastructure. Database performance is commonly correlated to the following infrastructural parameters:

  • Read/write input/output operations per second (IOPS)
  • Disk throughput
  • Disk latency
  • CPU and RAM
  • Queue depth

This is true not only when you are dealing with IaaS...