At the recent Disaster Recovery Journal Fall World conference, I gave a presentation of the state of BC readiness. I had some great discussions with the audience (especially about where BC should report), but one of the statistics that really stood out for me and I made it a point to emphasize with the audience, is the state of partner BC readiness.
According to the joint Forrester/Disaster Recovery Journal survey on BC readiness, 51% of BC influencers and decision-makers report that they do not assess the readiness of their partners. If this doesn’t shock you, it should. Forrester estimates that the typical large enterprise has hundreds of third-party relationships – everyone from supply chain partners to business process outsourcers, IT service providers and of course cloud providers. As our reliance on these partners increases so does our risk – if they’re down, it greatly affects your organization’s business performance. And with the increasing availability of cloud services, the number of third parties your organization works with only increases, because now, business owners can quickly adopt a cloud service to meet a business need without the approval of the CIO or CISO and sometimes without the approval of any kind of central procurement organization.
Even among those organizations that do assess partner BC readiness, their efforts are superficial. Only 17% include partners in their own tests and only 10% conduct tests specifically of their critical partners.
According to our survey data dating back to 2008, despite year after year of high profile security breaches from Heartland Payment Systems to Wikileaks to Sony, security budgets have only increased by single digits. This is hardly enough to keep up with the increasing sophistication of attacks, the avalanche of breach notification laws and the changing business and IT environment.
The changing business and IT environment is perhaps the greatest concern. With a massive explosion of mobile devices and other endpoint form factors and an ever expanding ecosystem of customers, partners, clouds, service providers and supply chains, you increasingly have less and less direct control over your data, your applications and end-user identities. We refer to this expanding ecosystem as the “extended enterprise.” An extended enterprise is one for which, a business function is rarely, if ever, a self-contained workflow within the infrastructure boundaries of the company. We believe that the extended enterprise is such a major shift for CISOs and security professionals that we dedicated our upcoming Security Forum to it as well as a significant stream of research.
NVIDIA recently shared a case study involving risk calculations at a JP Morgan Chase that I think is significant for the extreme levels of acceleration gained by integrating GPUs with conventional CPUs, and also as an illustration of a mainstream financial application of GPU technology.
JP Morgan Chase’s Equity Derivatives Group began evaluating GPUs as computational accelerators in 2009, and now runs over half of their risk calculations on hybrid systems containing x86 CPUs and NVIDIA Tesla GPUs, and claims a 40x improvement in calculation times combined with a 75% cost savings. The cost savings appear to be derived from a combination of lower capital costs to deliver an equivalent throughput of calculations along with improved energy efficiency per calculation.
Implicit in the speedup of 40x, from multiple hours to several minutes, is the implication that these calculations can become part of a near real-time business-critical analysis process instead of an overnight or daily batch process. Given the intensely competitive nature of derivatives trading, it is highly likely that JPMC will enhance their use of GPUs as traders demand an ever increasing number of these calculations. And of course, their competition has been using the same technology as well, based on numerous conversations I have had with Wall Street infrastructure architects over the past year.
My net take on this is that we will see a succession of similar announcements as GPUs become a fully mainstream acceleration technology as opposed to an experimental fringe. If you are an I&O professional whose users are demanding extreme computational performance on a constrained space, power and capital budget, you owe it to yourself and your company to evaluate the newest accelerator technology. Your competitors are almost certainly doing so.