Hi Parveen Rohilla,
Thanks for your question on the Microsoft Q&A portal!
I see you're looking to Increase Memory of Virtual Appliance.
In addition to Michele Arii comment, I'd like to contribute a few more details for clarity
Yes, you can make your Cisco 8000v router run better in Azure—but it’s not like changing settings on a regular computer because Your router runs as a special app (called a Network Virtual Appliance) inside Azure’s Virtual WAN hub. You don’t change memory or CPU directly. Instead, you pick a bigger version of the app in Azure.
Here are some more steps and process you can follow as well :
Sign in to the Azure Portal
1.Go to https://portal.azure.com and Use your Azure account credentials to log in.
- Navigate to “Virtual machines” and select the VM hosting the 8000v appliance.
- Stop (deallocate) the VM then Click “Stop” and Wait for the VM state to show “Stopped (deallocated)”
- Under the VM’s Settings blade, select “Size.”
- In the available sizes list, filter on “Memory optimized” (e.g., E-series, M-series) and compare RAM and vCPU specs.
- Select a size with higher memory (for example, Standard_E8s_v3 has 64 GiB RAM).
- Click “Resize” and confirm.
- Start the VM by clicking “Start.”
Here are the commands to Deallocate, Resize and to start the vm
- Azure CLI
1. Deallocate the VM:
az vm deallocate --resource-group MyResourceGroup --name MyRouterVm
2. Resize to a larger memory-optimized size:
az vm resize --resource-group MyResourceGroup --name MyRouterVm --sizeStandard_E8s_v3
3. Start the VM:
az vm start --resource-group MyResourceGroup --name MyRouterVm
- PowerShell
Stop-AzVM -ResourceGroupName MyRG -Name MyRouterVm -Force
Update-AzVM -ResourceGroupName MyRG -Name MyRouterVm -Size Standard_E8s_v3
Start-AzVM -ResourceGroupName MyRG -Name MyRouterVm
Please refer to this document for more information:
Resize a virtual machine - Azure Virtual Machines | Microsoft Learn
About Network Virtual Appliances - Virtual WAN hub - Azure Virtual WAN | Microsoft Learn
Please let us know if that works for you.
Thanks,
Pranitha