Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilize Azure Virtual Machine Scale Sets to develop expansive services for batch processing, big data, and containerized workloads, allowing you to establish and oversee a collection of diverse load-balanced virtual machines (VMs). You can effortlessly adjust the quantity of VMs automatically in response to fluctuating demand or according to a predetermined schedule. This centralized management enables you to configure and update thousands of VMs while enhancing the availability and security of your applications. By leveraging availability zones and availability sets, you can further improve application uptime by systematically distributing VMs within a scale set across a single data center or multiple data centers. Scale sets support the operation of numerous VM instances for your application, ensuring that if one instance encounters an issue, your customers experience minimal service interruption. Additionally, Azure Virtual Machine Scale Sets offer robust service-level agreements (SLAs) for your VMs, guaranteeing up to 99.99 percent reliability. This level of assurance not only fosters user trust but also enhances the overall performance and resilience of your applications.
Description
QEMU serves as a versatile and open-source machine emulator and virtualizer, allowing users to operate various operating systems across different architectures. It enables execution of applications designed for other Linux or BSD systems on any supported architecture. Moreover, it supports running KVM and Xen virtual machines with performance that closely resembles native execution. Recently, features like complete guest memory dumps, pre-copy/post-copy migration, and background guest snapshots have been introduced. Additionally, there is new support for the DEVICE_UNPLUG_GUEST_ERROR to identify hotplug failures reported by guests. For macOS users with Apple Silicon CPUs, the ‘hvf’ accelerator is now available for AArch64 guest support. The M-profile MVE extension is also now integrated for the Cortex-M55 processor. Furthermore, AMD SEV guests can now measure the kernel binary during direct kernel boot without utilizing a bootloader. Enhanced compatibility has been added for vhost-user and NUMA memory options, which are now available across all supported boards. This expansion of features reflects QEMU's commitment to providing robust virtualization solutions that cater to a wide range of user needs.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
Fedora CoreOS
Mayan EDMS
Microsoft Azure
RT-Thread
VxWorks
american fuzzy lop
Integrations
Azure Marketplace
Fedora CoreOS
Mayan EDMS
Microsoft Azure
RT-Thread
VxWorks
american fuzzy lop
Pricing Details
$6.1320 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/virtual-machine-scale-sets
Vendor Details
Company Name
QEMU
Website
www.qemu.org
Product Features
Virtual Machine
Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server
Product Features
Virtual Machine
Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server
Virtualization
Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring