William Woods University Chooses Tintri for VDI
For VDI
This is a Press Release edited by StorageNewsletter.com on August 22, 2013 at 2:35 pm
Tintri, Inc. announced that William Woods University has
deployed Tintri VMstore to support its VDI, along with a portion of their
virtualized servers.
The university, which serves more than 3,300 students and faculty, had
previously relied on a legacy, general-purpose storage system, but ran into
significant performance and management issues when they began implementing VDI.
After evaluating a number of alternatives, William Woods chose Tintri. It reported that the Tintri per-VM insight, support and price point, as well
as the superior VDI performance it enabled, were all major factors in their
purchase decision, and noted that the all-flash vendors they looked at were all
much more expensive. Additionally, William Woods was able to configure its
Tintri system in 36s, compared to two-and-a-half hours and more for other
systems it tested.
"Time is always tight for our IT team;
everyone here wears multiple hats and we need products that are extremely
efficient and need minimal administrative overhead," said Steven
Goodson, network administrator, William Woods. "The Tintri rich feature set makes it extremely easy to use and troubleshoot,
which saves my team invaluable time. Whenever we have an issue with a vDisk or
VM, we go to Tintri and can pinpoint the problem in seconds – it’s essentially
zero management storage."
Tintri also reduced reboot time by 50%. Previously, lengthy
reboot times were one of the most frequently cited complaints from end users.
The IT team can also upgrade firmware during production hours with Tintri,
which was previously impossible with the university’s prior SAN solution.
"As more organizations begin to
virtualize their infrastructure, they are faced with storage complexities that
drain administrator time and suffer performance degradation," said
Geoff Stedman, VP marketing, Tintri. "Tintri eliminates both administrative and performance problems by
managing storage at the VM level and automatically ensuring that every VM has
optimal resources."