This is an add-on to the earlier published Sustainability dashboards in the blog: https://blogs.vmware.com/management/2019/06/sustainability-dashboards-in-vrealize-operations-find-how-much-did-you-contribute-to-a-greener-planet.html in which you will get two dashboards - Environmental Savings and Environmental Impact. These dashboards were focused on showcasing power savings and CO2 emission with compute virtualization. Also, shows how much power is wasted by Idle VMs and number of trees to plant to offset this CO2 emissions by Idle VMs. ( Refer to https://code.vmware.com/samples/5937/ )
I have added two more dashboards to the above :
Dashboard#1 : Green Datacenter dashboard - showcase the power savings and CO2 emissions avoided by virtualization
Dashboard#2 :Identify Green options to host workload - Give options for Cluster, Host or datacenter or Host model based on lowest power usage.
Steps to deploy dashboards:
Pre-requisite: Make sure all the dashboards are deployed and fully functional from above blog post - https://blogs.vmware.com/management/2019/06/sustainability-dashboards-in-vrealize-operations-find-how-much-did-you-contribute-to-a-greener-planet.html
1. Extract the attached custom content to get below six files:
2. Import Super Metrics (Sus-SM-DBII.json ) and enable in the relevant policy(s) for objects - vSphere World and Function
3. Import the sample custom groups (CG for Hosts Model-sample.json) and edit based on Hosts model available ( Refer to Edit Custom Group for Host Model.png)
4. Import custom views (Sustainability Views II.zip)
5. Import Custom dashboards (Green dashboards.json)
Two widgets in Dashboard#2 will need additional configurations:
Disclaimer: In the above dashboards, "green" hosts and clusters are identified based on Power usage metrics ONLY which are collected by vRealize Operations. Also, power savings are calculated only for compute, the actual savings could be even more as virtualizing more workloads will result in lesser Storage and Network devices requirements, and this further lowering the power consumption in the datacenter.