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Announcing the Public Preview of the Guest Health feature of Azure Monitor for Virtual Machines, that monitors the health of your virtual machines and fires an alert when any of the parameters being monitored are outside the acceptable range.
The latest memory optimized Azure VM series Esv4, Edsv4, and Easv4 now offer new constrained vCPU VM sizes.
You can now access the price history of Spot Virtual Machines and the eviction rate for the past 28 trailing days in the Azure portal.
Increase control over maintenance operations and ensure higher availability for your business-critical applications with two new features now in preview. You can now schedule host maintenance operations in addition to the already available manual updates. Additionally, we are adding the ability for you to control when guest OS image updates on Virtual Machine Scale Sets are rolled out.
Azure can now select the dedicated host to which your VM is deployed. Additionally, Azure Virtual Machine Scale Sets can be deployed in conjunction with Dedicated Hosts.
The new D v4 and E v4 series Azure Virtual Machines feature the Intel Xeon Platinum 8272CL custom processor, can achieve up to 3.4 Ghz all-core turbo frequency and offer up to 504 GiB of RAM.
Virtual machine scale sets now provide the ability to automatically deploy new versions of custom images to scale set virtual machines.
You now have the ability to store ephemeral OS disks on the VM temp or resource disk in addition to the VM cache (in preview).
Azure Monitor for Virtual Machines is now available in preview in US Gov Arizona. It’s also available in an additional eighteen public regions around the world.
The new D v4-series and E v4-series Azure Virtual Machines feature the Intel® Xeon® Platinum 8272CL custom processor, which can achieve up to 3.4 Ghz all core turbo frequency. The D v4-series and E v4-series virtual machines (VMs) don’t provide any temporary storage. The D v4-series and Ds v4-series virtual machine sizes can meet the requirements associated with most general-purpose workloads. The E v4-series and Es v4-series VMs offer up to 504 GiB of RAM and are ideal for various memory-intensive enterprise applications.
The new Dd v4-series and Ed v4-series Azure Virtual Machines feature the Intel® Xeon® Platinum 8272CL custom processor. The Dd v4-series and Dds v4 virtual machine (VM) sizes are well suited for applications that benefit from low-latency, high-speed local storage (up to 2,400 GiB.) The Edv4-series and Edsv4-series VM sizes are ideal for various memory-intensive enterprise applications and feature up to 504 GiB of RAM, in addition to high-performance local SSD storage (up to 2,400 GiB.)
Azure Monitor for Virtual Machines is now available in US Gov Virginia. It’s also available in an additional eighteen public regions around the world.
Virtual machine scale sets now provide the capability to automatically repair unhealthy instances based on application health status.
Virtual machine scale sets now provides the ability to automatically deploy new versions of custom images to scale set virtual machines.
Buy unused compute capacity at deep discounts and run interruptible workloads at scale with Azure Spot Virtual Machines.
Azure Virtual Machine Scale Sets now provide the capability to automatically repair unhealthy instances based on application health status.
Manage virtual machine scale sets more effectively by specifying the order in which virtual machines (VMs) are deleted, or by protecting one or more VMs in a scale set from specific actions or by receiving notifications regarding VM deletions.
Azure Bastion is now generally available in two more Azure public cloud regions – East US 2 and West US 2. We’ll continue to add more regions going forwards.
Serial console is now available in preview in the Azure US Government Cloud, allowing customers in the government-only clouds to access the serial console of their VMs or virtual machine scale set instances.
Azure Monitor for virtual machines (VMs) now stores computer-related and process-related data in dedicated data types, making it simpler to query against as well as offering quicker data ingestion.
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