z - that's a cloud, right? well if a Vblock is.
It's not new to say the "cloud" is like a mainframe reimplemented for distributed IP-based networks, but I was a little surprised at a briefing event from EMC this week, to see it was positioning bundles from VMware, EMC and Cisco (VCE) as the basis for a private cloud. I wrote the post up over here.
I mean if Symmetrix + VMWare + Cisco networks and servers is a pre-tested, pre-integrated building block for a private cloud then, surely a mainframe is too?
It wasn’t clear how enterprise compute purchasing is actually simplified with Vblocks. Frankly an enterprise could buy an IBM System z mainframe and it would be just like a Vblock- a fully-virtualised, pre-tested, pretested solution based on IBM software and gear. IBM doesn’t have a TotalStorage, System p and WebSphere coalition.
My aim here is certainly not to criticize EMC
for making it easy for customers to purchase gear, but the Cloud should
be about purchasing compute, not gear. Vblocks will be sold by VARs and
integrators such as Accenture, CSC, and Capgemini.
If you’re digesting an elephant its not a cloud. I can see Vblocks being a solid channel play. Let hosting companies or SIs offer elastic hosting to their clients. It was notable that EMC’s customer reference for the day was the IT Services arm of Orange, the French telecommunications services company. EMC could perhaps deploy Vblocks to customers, with an agent for billing, and only charge per server image: some mix of local install, agent, and billing as a service. Not so different from IBM used to deploy mainframe to customers back in the day…
What is more - you can deliver z on a pickup, like this: ;-)
disclosure: IBM is a redmonk client.
|by James Governor||December 4, 2009 in z/OS |
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The Smart Analytics Cloud is a solution set and reference model based on an IBM-internal Business Intelligence (BI) project code-named Blue Insight, which IBM claims to be the largest private cloud built to date. Blue insight has allowed IBM to eliminate multiple BI systems that were all performing essentially the same extract-transform-load (ETL) processes for different user groups.
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