Azure Resize Vm Without Reboot
I had a few customers ask me if they could really move up and down in Azure VM SKU types dynamically so I put together a quick FAQ and Best practices to help make this clear:Best practices:1) Build big and start small - Determine what size of VM you may need in the future. For example, if you feel you may need DS14 series VM in 12 months than build a DS14 series VM now and than scale it back to an A series. This way you have set a clean scale up pathway to DS series VMs in the future since it you started large and this placed the VM on a HW cluster that supports a DS14 VM size.2) Region and HW Cluster – Both of these variables determine upgrade size path. Some regions may not support the new desired VM size so you may have to move regions. Mangafreak one piece. For example, if you require a N series or F series VM in the future, you may start with a region that supports your upgrade path so you don’t have to move regions later on.For HW Cluster, the physical HW underneath the VM may not allow the new size to be selected as the physical HW may not support large CPU VMs or may not have a GPU card for example. Follow the best practice in Step 1.Here is how a HW Cluster typically groups VM size families:4) Plan - Determine how many VMs of a particular type you may need and if you have an.
Understand you may either have to reboot to resize the VM or deallocate the VM to move to a different hardware cluster.FAQ:What are all the VM SKU types/sizes available?Here is a nice graphic showing the VM SKUs choices:For more details on the Azure VM skus/sizes seeDo I have to stop/deallocate the VM to change size?It depends if you are moving within a VM hardware cluster or to a different VM hardware cluster that support the new VM SKU size. For example, moving from a D1 to a D8 series you can switch VM sizes with a simple reboot (see chart above for HW Cluster grouping). However, if you are, for example, moving from a A7 VM to an DS14 VM then you may have to deallocate VM and move to a new HW Cluster. In addition, if multiple VMs are in an availability set they must all be deallocated at the same time to move to a new HW cluster family.Can I move from Premium Storage VMs to non premium storage VMs skus or vice versa?You cannot downgrade a Premium (SSD) VMs to non-Premium (spinning disk) VMs. In going from non-Premium VM skus to Premium VMs skus, it will allow you to move the VM however all your non-SSD disks will not be converted to SSD storage.
The Azure VM Data Disk Resize. To resize the Azure VM Data Disk you pretty much follow the same process. The only difference is the command used to retrieve the Azure Disk Name. To resize Azure Data Disk you'll require the Diskname. Note that this time I run Get-AzureDataDisk. In this case I want to extend the 10 GB disks. So if you are running an app or service on IaaS it can automate work loads without having to resize virtual machines. In Azure, it's cheaper and more efficient to scale out versus up. For example if you were currently running an app on a D16 v3 (16 vCPU, 64GB RAM) at $1.69 an hour you could instead have 2-4 D4 v3 (4 vCPU, 16GB RAM) running in a scale set at $0.84 - $1.69 an hour.
Azure Resize Vm Without Reboot Software
This will have to occur as a post move step where you move the data to a Premium (SSD) storage account. See more on migrating to Premium Storage.How long end to end when you move to a size on different hardware?The whole process is estimated to take around 10 minutes end to end when you move to a size on different hardware.Do I lose data with a VM resize?You only lose any data that is stored on the temporary disk and the other data disks will be retained.Do you have Infiniband/RDMA HPC ready Azure VMs?For RDMA with Infiniband, we have three VM series that have certain VMs that support RDMA over Infiniband with 32Gbps throughput with 3 microsecond latency:, and VMs. All of these should be targeted as VM families for HPC compute needs.Can I resize from non-compute intensive VMs to compute intensive VMs?Currently, this is not supported.