Five Ways Automation Speeds Up Big Data Deployments
The trouble with deriving value from data as it traverses the network in real time is often simply getting at it. The number of analytics tools that process this data at scale is fairly limited.
To address that issue, Corvil this week announced an upgrade to its Giga+ software that can now be deployed as an appliance that is significantly less expensive.
Corvil CEO Donal Byrne says that with a software-defined appliance, Corvil has decided to offer the underlying hardware appliance that runs its software at cost. In addition, customers now have the option of transferring a Giga+ software license to third-party white-box appliances, or to virtual machines in a private or public cloud without incurring additional costs. Finally, Corvil is making its software available based on an annual subscription fee that reduces the cost of acquiring the technology.
In the Big Data era, Byrne notes that organizations are looking for ways to cost effectively get at raw data moving across their networks at high speeds. As a technology that cut its teeth in trading applications on Wall Street, Byrne says Giga+ makes use of a 40Gb/s analytics engine that can support multiple 10Gb/s network links using buffering technology that can handle bursts of network data with no loss of fidelity.
While there is no shortage of sources of Big Data these days, the most valuable data may very well be on the network. After all, in terms of immediacy, there’s no more current data than what is moving across the network in real time. It’ll be interesting to see how the convergence of Big Data analytics and networking transforms not only how IT is managed in the years ahead, but also the very business itself.
