What is Web-scale?
A good percentage of those of us out there in the trenches of enterprise IT have probably heard the term “Web-scale” thrown around. It, like many IT terms, is equal parts marketing term and technical term, hence, not-so-well-defined… and as a result, open for interpretation. My take on Web-scale is that it’s, first and foremost, a way to architect IT systems for enterprise, incorporating the best elements of public clouds. While it is very hard to mimic the architectural scale and resiliency of public and private clouds from AWS, Google, Facebook and others, one can easily see the benefits of distributed, shared-nothing architectures, API-driven automation and orchestration, self-healing application stacks… and in Coho‘s case, closer integration of the network with the storage.
The Coho approach to Web-scale has some unique elements that separate us from the other vendors that purport to do it. Hyperconverged vendors are for the most part confined to growing all datacenter resources simultaneously. Scaling all datacenter resources at the same time doesn’t necessarily make sense, unless your environment has very uniform workloads. My guess is that if you are a typical small/medium or enterprise, your compute, network and storage requirements don’t scale at an identical rate, thus performance gets left on the table, or you end up licensing software that you don’t need in order to grow your footprint. With Coho, we allow the customer to scale the compute independent of the network and storage. As you add building blocks to a Coho scale-out cluster, you add 40Gbps (or more) of network bandwidth along with multiple TBs of PCIe NVMe flash. This is a hard requirement if you expect the cluster to exhibit linear performance scaling as you add capacity. Adding flash without the adequate network bandwidth to push the bits over the wire is a lost war before the battle even begins!
This brings us to the economics part of the discussion as it relates to Web-scale…
Converged (non-hyperconverged) systems that incorporate increased network capacity along with the storage, such as Coho, give customers the ability to incorporate the best elements of public clouds with the security and performance that can only be achieved with on-premises infrastructure. This simple fact has afforded us an opportunity to talk to customers in the terms of $/GB/mo that they are likely to see quoted from Amazon and others. The shift toward OPEX pricing is already top of mind for a great many CIOs, so it serves as a convenient reference point for us when we talk with customers. Even with operational costs figured into the economics, we often talk about prices that are 1/2 to 1/3 the cost of AWS. Now let’s put a qualifier here… we’re not talking Amazon Glacier or the cheapest of the cheap that Amazon offers, but rather AWS EFS (Elastic File System) service which is advertised at around $.30/GB/mo, all-the-while preserving the jobs of the internal IT teams, and preserving corporate IP (intellectual property) security and providing better performance! Don’t even get me started on the costs associated with getting data into/out of AWS once it’s in their cloud. You ever heard of data gravity?
But wait, there’s more…
Since Coho is innovating by creating unique storage services directly on the array, by leveraging Docker, Kubernetes, VXLAN and other cutting edge technologies, we are able to offer alternatives to AWS, without the need to move to the public cloud. This is the move toward “microservices” that you may have heard about. As a matter of fact, not only will Coho be demoing these technologies, in the form of on-the-fly transcoding, a search appliance and more, but our CTO, Andy Warfield will also present a breakout session discussing this very topic. Why bother going to AWS for services that you can get as free upgrades with a paid support contract?
In my opinion, Coho is not only at the forefront of what Web-scale was intended to deliver, but taking it to a whole new level. Look for us at VMworld (booth 1713) to find out more… we’re looking forward to talking with you!
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