Cost Optimization
  • 11 Nov 2022
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Cost Optimization

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Introduction

The main goal of Cost Analyzer is to provide an effective cost management service that helps users in minimzing the Azure subscription cost based on the resource utilization.

The next step towards cost management is to allow users to optimize the resource cost by scheduling them to deallocate/ scale down based on the up and down hours of the business.

Cost Optimization

Cost Optimization in Cost Analyzer is a feature that enables users to create optimization schedules with resources associated by defining the tiers, throughput values and the resource state with respect to Up and Down hours of a week.

Optimization.png

Additionally, the optimization schedules display a chart, showing the costs that can be saved when resources are scheduled.

Cost Optimization supports the following resource types:

1. App Service Plan

The Up and Down config values determine the tiers that should be set to the resources in the Up and Down hours respectively.

2. Cosmos SQL Container

The Up and Down config values determine the throughput values that should be set to the resources in the Up and Down hours respectively.

3. Cosmos SQL Database

The Up and Down config values determine the throughput values that should be set to the resources in the Up and Down hours respectively.

4. Cosmos Table

The Up and Down config values determine the throughput values that should be set to the resources in the Up and Down hours respectively.

5. Virtual Machine

The virtual machine will be started and stopped (deallocated) during the Up and Down hours respectively.

6. Virtual Machine Scale Set

The virtual machine scale set will be started and stopped (deallocated) during the Up and Down hours respectively.

The optimization scheduler runs only once in every hour irrespective of the Up and Down hours specified and performs the necessary action.


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