Posted by David Swenson on Thu, 2012-04-26 11:55
We do a lot of interoperability and performance testing, and this often involves schlepping a bunch of equipment to the partner or OEM site. Here in Silicon Valley, the facility may be just a few miles away so we drive, and that means packing up a bunch of moving cartons with servers, WAN emulators, and of course the two DMS systems. Today we were packing up after completing some tests and one of their QA guys who was helping commented on how light the DMS was, especially compared with all the servers that we needed to generate the +40Gbps flows.
“RAM,” I told him. “Our algorithm is really efficient.”
Huh? What does a little math formula have to do with the weight of our network deduplication switch?
Here’s the backstory...
Posted by Ashwath Kakhandiki on Fri, 2012-01-27 10:26
Data growth is clearly out of control. A stupendous 1.8 zettabytes of digitized information exists today –a 9x increase in stored data within the last 5 years alone. With data growing at ever-increasing rates, the question being asked is: How is all this data to be stored and moved around? Is current technology up to the task, or does it need a major overhaul?
Our CEO, Raj Kanaya, considers these questions in a phenomenal guest blog on Silicon Angle. The entire post is available here. Happy reading!
Ashwath Kakhandiki is Director of Marketing at Infineta Systems
Posted by Umair Hoodbhoy on Fri, 2011-12-30 13:12
2011 has been a memorable year here at Infineta. Here are a few things that come to the top of my mind:
Posted by David Swenson on Tue, 2011-12-13 15:53
Big Data implementations such as Hadoop are becoming more common, and as they do, organizations are discovering that Big Data drives Big Traffic. Ashish Shah has written a great piece on this subject, available here: Wikibon.
Over the next five years, machine-to-machine traffic between data centers (over Data Center Interconnects, or DCIs) is expected to increase faster than traffic within data centers, forcing organizations to respond by implementing multiple 10 Gbps WAN links. In most cases, however, simply scaling up the WAN infrastructure is a weak long-term strategy. Instead, keeping pace with DCI traffic requires a new class of WAN optimization technologies that can scale to 10Gbps speeds while introducing minimum latency to the end-to-end workflow.
Posted by Ashwath Kakhandiki on Tue, 2011-12-13 10:40
“Big Data” is one of the hottest buzzwords in IT today, with its promise of deriving previously-untapped business value from unstructured data stored throughout the enterprise. How Big Data’s unique scale-out architecture enables unprecedented pricing and storage is well understood, but what has not been understood as well are the implications for the WAN. Infineta worked with IRG to test the following hypothesis: The adoption of Big Data will bring the enterprise WAN to its knees. The research – announced today - led to a number of eye-opening findings around how companies are thinking about, and implementing, Big Data.
Posted by Ashwath Kakhandiki on Wed, 2011-11-16 16:44
What a busy couple of weeks at Infineta! Between tons of analyst briefings and ongoing marketing programs, we sponsored two phenomenal technology conferences close to home – Storage Decisions in SF last week, and IT Roadmap in San Jose yesterday.
In talking to a number of attendees from some large enterprises at these conferences, I noticed a very interesting commonality: Even though these enterprises already use branch WAN optimization solutions, most of them are actively looking at alternative solutions to optimize their inter-data center WANs. These organizations had concluded that the same WAN opt solutions that are effective in accelerating branch traffic do a pretty poor job of accelerating inter-data center WAN traffic.
Posted by Haseeb Budhani on Wed, 2011-10-19 09:35
Big Data is hot. A number of startups have been funded to explore Big Data opportunities. Even Oracle recently announced its entry into the Big Data ring.
Giants such as Oracle and EMC don’t enter a new category unless they can sell their solutions to large enterprises and make obscene profits. In return for all the money that enterprises pay out for these solutions, they expect them to scale and be highly available.
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