Awhile back, I was asked to have a discussion with someone that was looking into virtualization and SAN storage to build out a traditional virtual environment. The customer – an Equallogic fan – had already settled on a VMWare and Equallogic solution, but was still willing to talk. He had sent us the following excerpt from an email:
“I will be looking feature-wise at snapshot features and integration with Windows and VMWare. I’m sure Jack filled you in so there isn’t a need to belabor the point but I was extremely impressed with features from other vendors and honestly disappointed by the snapshot features on the Scale platform. But I will happily give you another chance to show me something I may have missed.”
This customer’s take was based on demonstrations from Lefthand and his own experience on his Equallogic gear that showed him outstanding integration with Windows and VSS for snapshots as well as tight ESX storage API integration – creating snaps that are application-aware and consistent, creating and managing iSCSI LUNs through vSphere, these sorts of things. He had already mentally accepted that the complexity of such a solution was a foregone conclusion and a necessary evil to realize the benefits of virtualization.
There are a few moments in life when you look at the world around you and truly feel connected. That moment when you hold a newborn in your arms and marvel at the complexities and joys of a new being, all of the infinitesimal parts that had to have come together to make the perfect whole, like a well-oiled, natural machine, is one of those moments. At Scale Computing, we want that moment for you when you look at your new HC3™ cluster. We want you to step back with awe and hope for the future, because that is what we believe our software holds for small-to-midsize businesses. Continue reading →
Previous posts in this series have discussed the ease of use and high availability design goals of the HC³ platform, as well as the hardware and high level software architecture. Now, lets roll up our sleeves and walk through how ICOS (Intelligent Clustered Operating System) takes a set of independent compute nodes with independent storage devices and aggregates them into a single pool of compute and storage resources that are managed as a single, redundant, highly available system.
Once the Scale HC³ cluster nodes are racked and cabled and configured with physical network connectivity, the cluster formation process takes multiple nodes (currently 3 or more) and logically bonds them together to act as a single coordinated system in a process that completes in a matter of minutes. Continue reading →
I recently received an inbound call from a value-added reseller looking for virtualization solutions for his SMB customers. The conversation began as they normally do: he heard something bout Scale Computing and our technology, but really didn’t understand what we were doing. He said—and I quote:
“It looks like you’ve virtualized all the core functions in the rack: servers, storage, networking. But that’s not really possible. So what is it you do?”
The support team at Scale strives to provide a “best ever” experience for our end-users and partners. What exactly constitutes this best ever experience, though? How do we underscore and define what that means? Continue reading →
Over my past few posts, we have talked a lot about vendors’ reseller programs and their relevance in today’s business climate, as well as the need for missionaries to take your technical message and solution to market. Shifting gears today, let’s discuss how we all think about the most important of business processes: getting the sale.
I was young in technology sales at the time when technology sales were young too, and you didn’t get tossed into the water to see if you could swim or not. The analogy was that the young sales guys were like the ‘new dogs.’ We were sent to work with the ‘old dogs’ so that they could show us how to do it. Kind of makes sense, right?
Well, a lot of what the ‘old dogs’ taught us was complete BS. Or, maybe more appropriately, complete dog s$%&. Continue reading →
In my last post, I wrote about why we focus on midsize companies. I reminisced the Saturday mornings in the server room of the construction company where my dad worked, where I’d play with the data-entry station while my dad worked on whatever was the IT problem du jour.
If you missed that post, you might check out this video of our CTO, Jason Collier, and me talking about our midmarket focus, where we share a couple of stories about the roots of our market focus.
An interesting thing about the midmarket is this: It is the most often overlooked segment of the market by large vendors and startups alike. It’s a difficult market to reach, with layers of consultants and resellers, tight budgets, and small IT staffs. But, there are hundreds of thousands of companies in the US alone that fit this profile. Continue reading →
The first two reasons don’t need much explanation, but most people only read “Open Source” in the third reason and move on. I want to dig a bit deeper into the flexibility aspect, or specifically why other methods of convergence are inflexible and wasting your resources. Sherman, set the Way Back Machine to 1998. Continue reading →
The first two posts of this series discussed the high availability and ease of use requirements that went into the design of HC3. With those overarching user needs as a backdrop, we will now transition into a more technical look under the hood at the hardware and software aspects of the HC3 system.
HC3 and the ICOS (Intelligent Clustered Operating System) that it runs on were designed to put intelligence and automation into the software layer allowing the system to provide advanced functionality, flexibility and scalability using low cost hardware components, including the virtualization capabilities built into modern CPU architectures. Rather than “scaling up” with larger, more expensive hardware that also requires equally expensive idle “standby capacity” to operate in the event of a failure, HC3 was designed to aggregate compute and storage resources from multiple systems into a single logical system with redundancy and availability designed in. Continue reading →
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