Storage Mobility

Big Traffic Networking

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.

In the SF Bay Area? Come See Us!

You are a key member of a network team managing a critical set of data centers, and are constantly dealing with replication, backup or virtualization related issues across the WAN. You would like to learn more about WAN optimization but simply don’t have time for some slick sales guy to come in and talk about “the importance of WAN optimization solution agility” or “how you can accelerate ALL your applications.” You just want something that addresses the inter-data center WAN issues you are dealing with today and want to ask very specific questions without all the “So when will you have budget for this project?” pressure.

If you live in the SF Bay Area, there are two awesome shows that Infineta will be participating in, where our technical experts will be present to answer all your questions. The events are:

 

Transport-Level Optimizations For Inter-Data Center WAN Traffic

Recently, I had the opportunity to pitch our inter-data center WAN acceleration solution to the crème-de-la-crème of the Internet networking community a few weeks ago. These are the guys who run the infrastructure for household names in e-commerce, social networking, SaaS, and mobile ad platforms. Many of these folks buy bulk bandwidth (in a few cases, in the 10s of lambdas) for their larger data centers and, for these specific cases, will not expect to benefit in any significant way fromour solution’s data reduction capabilities.

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