Among the Solaris technologies included in the xVM Server are the ZFS file system and "predictive self-healing" technology, which enables Sun systems to predict component failures and hopefully mitigate serious problems. Along with Solaris, the Sun virtualization environment will support Windows and Linux operating systems. Microsoft has agreed to support Windows on Sun xVM Server, Hamilton said.
The xVM Ops Center will be an "end-to-end" system capable of managing hardware and software, Hamilton said. Capabilities include discover and inventory, checking and provisioning firmware, managing hypervisors, provisioning applications, automating software updates, and compliance reporting. Sun is marketing the software as doing "everything except unpack boxes and rack and cable systems."
Sun was not ready to discuss how the new software would be sold. However, Hamilton said it would be in line with Sun's pledge to make all its software open source, and charge for subscriptions. "There will be no reason to expect something different," he said.
Version 1.0 of Ops Center is expected to be available in December, with a preview of version 2.0 set for release in March 2008, and generally available in the second half of the year. A preview of version 1.0 of the xVM server is scheduled for release in January 2008, with a second preview version in March, and general availability in the second half of the year.
Sun intends to incorporate its virtualization technology across its desktop, storage, and networking product lines.
Subsea cable alternatives can provide a level of comfort for those concerned about disruptions. Realistically, they will continue to play a small, but critical role in the short term.
Maintaining existing network infrastructures often incurs huge technical debt before newer technologies are adopted over time.
Amid ongoing regional uncertainties, telecom infrastructure in the Middle East has expand to include terrestrial low-latency network infrastructure, which offers resilience and agility in navigating political complexities without relying solely on undersea networks.
