- Windows 365 Cloud Apps is now in Public Preview
- A license covers unlimited users (but one at a time)
- Early testers call for some pretty big improvements
Microsoft has launched the public preview of Windows 365 Cloud apps, so if you are not prepared for a full cloud -PC -Desktop yet, you can now choose to stream individual apps like Outlook or Word on the go.
Windows 365 Cloud Apps runs on Windows 365 Frontline Cloud PCS in shared mode, so they are targeted at task -based roles in industries such as retail, healthcare and governments where shift -based and part -time workers would otherwise raise costs.
The license model allows “unlimited users per license with one active session at a time,” explained software engineer Serena Zhang.
Microsoft launched W365 Cloud Apps
“Since Windows 365 Cloud apps only stream essential applications such as Outlook or Word without loading a full desk, it’s ideal for task-based roles,” Zheng added.
By providing only the important apps, administrators can save resources and simplify management.
Previously available in private preview, the public preview launch comes with some improvements, such as a Windows 365 filter within the Windows app and OneDrive Auto launch.
However, general accessibility and a really smooth process can still be out of reach for now. Private Preview users complained that the requirement of creating custom images of Windows 365 Cloud apps was outdated.
Looking ahead, Microsoft plans to integrate cloud apps with Intune for lighter and more modern app implementation.
“As requested by customers, we are working to make Intune the only window of glass for app implementation,” Zheng noted.
On the same day, Fellow Micrositter Go Komatsu announced the general availability of Windows 365 Frontline in a dedicated state of US government customers, with a license covering up to three (non-current) workers.
Microsoft also chose the same day to launch Copilot in Intune for Windows 365 hoping to make that control simpler and faster, making September 17 a great day for cloud -based computing.
