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Foglight Evolve 6.0.0 - Foglight For IBM Cloud Migration User Guide

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The IBM Cloud Migration Assessment dashboard includes the following elements:

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IBM Cloud Server Pricing
Click the link IBM Cloud for VMware Solutions to popup an IBM Cloud server list dialog box. The default server pricing list has been pre-defined. Users can import a new IBM Cloud pricing.
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Compute Price Plan and Storage Price Plan
The price plans are used to define the VMware VMs on-premises cost. Click the links and bring you to the Compute Price Plans and Storage Price Plans tabs under On-Premises > Administration in Foglight Cost Director dashboard.
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Performance Impact
Performance Impact helps ensure a balance between costs and performance. Impact is measured by understanding how often a virtual machine exceeds the proposed destinations available resources. Users can input value for 0 – 100%. The default value is 5%. The higher the percentage the higher the impact. By choosing an impact, a cheaper server can be selected for the recommendation.
For example, by setting a value of 10%, the impact algorithm will assess how often a cloud cluster exceeds the proposed destination resources and count each breach of the available resources based on historic performance.
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Analysis Period
This period will be used to calculate the average usage of the needed resources (CPU, memory, and so on) in the consolidated environment. Users can define an Average Analysis Period. The default value is 7 days and other values, such as 1, 3, and 30 days, are supported.
* 
NOTE: Ensure that the chosen period is available in Foglight. If 30 days is chosen, while only 3 days of history data is available in the Foglight database, it will only use the 3 days of data for the average analysis period.
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IBM Cloud Cluster table
To create a new cloud cluster, do the following:
1
Click New Cloud Cluster and a VMware Solutions Dedicated dialog box will appear. Specify a cloud cluster name, make necessary changes, and click Save.
2
Click Add VMs to open a Manual Virtual Machines Migration dialog box. Select the VMs you want to add to the cloud cluster. The Memory Usage, CPU Demand, Storage Usage, and Storage IOPs for the selected VMs will be aggregated as Cloud Cluster metrics. Click Save.
3
The IBM Cloud Migration Assessment dashboard refreshes and the CPU, Memory, and Storage IOPs Metrics chart for selected IBM Cloud Cluster are displayed.
 
The IBM Cloud Cluster table also supports to edit or delete existing cloud cluster and save the exiting cloud cluster as configuration or load cloud clusters from configuration.
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Run Model button
Click the button to assess migration, the IBM Cloud server with lowest cloud cost will be recommended.

IBM Cloud Migration Modeling

After running model, a migration modeling result breakdown page will be displayed. It shows which IBM Server should be used for each Cloud Cluster. The system recommends the IBM Server with the lowest total cloud cost (server unit cost * quantity).

The migration modeling result page includes the following elements:

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Model result summary
Shows the Total Cloud Clusters, Total VMs, On-Premises Cost Total, and IBM Cloud Cost Total.
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Cloud Cluster list, including the following information:
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Cluster Name and Region. Click Cluster Name to display Cloud Cluster Details page.
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Recommended Server Information, including CPU Model, RAM, Network Interface, Server Quantity, Storage Type, and Storage Capacity.
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Compare Cloud Cost and On-Premises Cost.
Click Cloud Cost to display Pricing Details of Cloud Cluster page. The Pricing Details page displays the estimated total price for Bare Metal Servers, Additional Networks, License, Support and Services, and Active Directory.
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Pricing Details Report
In Pricing Details page, click Reports > Cloud Cluster Pricing Details Report to generate a Pricing Details report.
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Click the number of servers in All Available Servers column to open an All Cloud Servers dialog box. Users can select another server in the list. Once another available server is chosen, the system will update server information in the selected cloud cluster and recalculate the Cloud Cost (server unit cost * quantity).
 
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