Enterprise-scale AWS customers often ask me for advice on how to connect their existing on-premises compute and storage infrastructure to the AWS cloud. They are not interested in all-or-nothing solutions that render their existing IT model obsolete. Instead, they want to enhance the model by taking advantage of the security, scale, performance, and cost-effectiveness of the cloud.
One of the most interesting connection points is storage. With enterprise storage requirements growing at a rapacious pace, the seemingly limitless capacity of the cloud, coupled with the pay-as-you-go cost model, becomes a very attractive option.
In order to meet this need, we have worked with AWS storage competency partner Avere Systems to create a solution bundle. This bundle will enable enterprises to quickly deploy and evaluate an end-to-end hybrid storage “on-ramp” with a minimal investment.
Special Offer from Avere and AWS
As part of a limited-time offer, new Avere customers in the US and the UK who meet the qualifications can purchase a three-pack (for high availability) of Avere’s FXT 3200 Edge filer appliances (15 TB total capacity) for $60,000. The package includes unlimited capacity NAS core software, the FlashMove data migration software, one year of FlashCloud capacity-based software, one year of hardware and software support, and Avere installation services.
To make this offer even sweeter, qualified customers are also eligible for up to $10,000 in Amazon Simple Storage Service (S3) storage credits.
If you are interested in learning more, click here.
Avere & ITMI at re:Invent
At last year’s AWS re:Invent conference, Avere, AWS, and the Inova Translational Medical Institute (the largest health care system in Northern Virginia) discussed their use of this system to bring about their vision of precise, personalized medicine using a hybrid cloud. Here’s the video:
As part of their treatment model for at-risk newborns, they routinely sequence and analyze the genes of the infant and the parents (which they call trio-based data). This allows them to enhance and customize their treatment, while generating terabytes of data. Some of this data is archived and used to build predictive models and to inform longitudinal studies that can look back up to 18 years.