Pure Storage FlashArray with VDI workloads
Saikrishna Koganti | TrustRadius Reviewer
February 07, 2019

Pure Storage FlashArray with VDI workloads

Score 7 out of 10
Vetted Review
Review Source

Overall Satisfaction with Pure Storage FlashArray

> Proactive alerting from the support team to address the potential issue and verify the system health checks.
> Remote firmware upgrade installation during the scheduled windows with customer approvals.
The pure storage M20 R1 & R2 array models are being used for managing the VDI workloads in our organization. The arrays are being used by my department and the whole organization as well. We have addressed the VDI performance issues with pure arrays, but the data reduction is drastically varying from 10x to 5x -7x which is a concerning factor. The data dedup factor needs to be considered based on throughput utilization, which is a key factor in sizing point of view
  • Up to 10x initial Data reduction,
  • Sub ms latency with VDI workloads
  • Easy to manage and real-time monitoring in the mobile app
  • Data reduction varying drastically sometimes based on the workloads like patches and schedule rollouts.
  • Capacity sizing is one of the key factors to handle the new workloads considering the data reduction variation.
  • OpEx cost increases as the data reduction changes based on the newer workloads, which require one to buy additional capacity.
The organization doesn't require any specialized skill resources to manage the Pure Storage Arrays as it is easy to manage and implement by system administrators.
Better data reduction up to 10x
Better data reduction and sub ms latency with VDI workloads
The Pure Storage array is well suited for initial VDI workloads, and it provides the data reduction up to 13x but later point of time due to new workloads like patches and other rollouts the data reduction can be considered as 5x - 7x. Based on the new workloads and data reduction changes, you need to size the array initially or add additional capacity.