Vertical & Horizontal Scaling
Scaling Azure VMs
The VM can be scaled up or down by simply changing the VM size which may first require deallocating it. It only happens when a new size is not available on the hardware cluster that is hosting the VM currently which in turn also leads to the deallocation of all the VMs in the availability set to resize them. After that you may also have to update the size of the other VMs in the availability set after the resizing of one VM.
The resizing can be done from the Azure portal, via PowerShell, Azure CLI, Azure Resource Manager templates, or programmatically (including REST API).
Storage
As the size of the virtual machine controls the number of data disks you can attach, you can detach a data disk without stopping the Azure VM by using PowerShell or Azure CLI after confirming that the particular disk is not being in use currently. You can also expand the attached Azure VM disks.
Scaling SAP HANA on Azure (Large Instances)
You can easily choose from many sizes of servers that are categorized as Type I or Type II and tailored for different workloads, available for HANA Large Instances to scale up or down. You can select a size that can grow with your workload for the next three years.
A multi-host scale-out deployment is usually used for BW/4HANA deployments as a kind database partitioning startegy. The multiple hosts can be connected to a shared storage volume, allowing a quick takeover by standby hosts in case one of the compute worker nodes in HANA system fails,from an infrastructure standpoint.
The SAP Quick Sizer is available for greenfield scenarios to easily calculate the memory requirements of the implementation of the SAP software on top of HANA which may increase with the data volume. you can use you current memory consumption as a basis to predict future consumption, and then plan your demand into one of the HANA Large Instances sizes.
Storage
Storage can be added by buying additional storage in 1-TB units which can also be added as an additional volume. You can't decrease the sizes of the volumes as originally deployed or change the names of the volumes or mount names as they are already attached to the HANA Large Instance units as NFS4 volumes.
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