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 Haseeb Budhani on Fri, 2012-03-30 13:44
As Ashwath mentioned in his blog a few days ago, we were scheduled to present to Tech Field Day delegates yesterday (March 29). The event was streamed live from our site, and snippets of the presentations will be made available on the same page within a few days.
In looking through the Twitter feed for #NFD3 yesterday, I saw some quotable and humorous quotes that I’m reproducing below:
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 Ashish Shah on Wed, 2011-10-26 01:55
A large healthcare firm we recently talked to had an upcoming data migration project, where the IT team planned on moving 800TB of data from a to-be-decommissioned data center to a larger data center 1,100 miles away. The WAN connectivity between the two sites consisted of 2x1Gbps MPLS links. The storage and network team concluded that the migration would take four months to complete, making it operationally cost-prohibitive. The network team considered leasing a 10Gbps WAN link, but came to the conclusion that the significantly higher WAN expenditure would in no way guarantee faster migration. Interestingly enough, one-time or periodic migrations are becoming quite common for medium to large enterprises.
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.
Posted by Haseeb Budhani on Sat, 2011-10-08 19:13
I had the privilege of participating in a debate-style session titled “What are the Next Steps for WAN Optimization?” at Interop earlier this week. Jim Metzler, an independent industry analyst, hosted the event and kept the other panelists and me on our toes. A very engaged and tech-savvy audience enriched the discussion through relevant questions.
The way the debate played out, plus my subsequent conversations with some folks from the audience, underscored two key points:
Posted by Raj Kanaya on Sun, 2011-06-05 21:33
It’s been more than two years since we started Infineta Systems. In those early days, we looked carefully at the state of the WAN optimization market and compared that with the needs of the market, today and in the future. What we discovered was a disconnect – the market was changing fast and existing vendors were “locked in” to architectures which would struggle to keep up. And to make matters worse, this disconnect was going to be greater in the future.
From a market perspective, we talk about a myriad of growth drivers for Hyperscale WAN optimization – replication, backup, virtualization, scale-out applications, cloud computing. But even more fundamentally, the growth in the market is anchored by the explosion in data. And for that data to be useful, it needs to be moved, which puts the network front and center.
Posted by John Oh on Thu, 2011-04-21 18:05
After reading about the Open Compute Project, I couldn’t help but think that “engineers ain’t the only thing Facebook’s poaching from Google.” A few years ago, Google attracted quite a bit of attention for its paper, “The Datacenter as a Computer.” In the paper, Urs Holzle and a colleague wrote about building modular data center containers to perform warehouse-scale compute jobs efficiently while being as ‘cool as the other side of the pillow’ (both literally and figuratively).
After Google published its paper, you didn’t really hear about some company going out and scrapping their large data centers in favor of these modular containers. Nope. But, with this Open Compute Project, the entire world gets its hands on a web-scale computing platform without having to pray at the altar of modular containers.
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