Transitioning From The Enterprise To The Cloud

By George Gilbert

This post originally appeared on GigaOm here.

Moore’s Law has enabled new applications by powering computing on an exponential price/performance curve. But increasingly, the proliferation of a new generation of large-scale applications is being constrained by another price/performance curve that hasn’t shown much improvement: IT operations and the cost of delivery. To create ever more sophisticated applications that can be delivered from public or private clouds, we have to ride a delivery cost curve that looks more like Moore’s Law. Otherwise, we’ll choke on our systems.

Timothy Chou, ex-president of Oracle On Demand, has written a book (“Cloud: Seven Clear Business Models“) that takes a fresh perspective on cloud computing. To him, the key promise of the cloud is to reduce the cost of delivering applications by improving IT operations. Traditional legacy applications such as Oracle or SAP have a fully loaded cost of delivery of $1,000-$1,500 per user per month. Several years ago, Oracle On Demand got that cost down to $50-$100, whether it was Oracle-hosted or customer-hosted. SalesForce.com has squeezed that cost down even more to $7-$10, though admittedly just for the much lighter-weight CRM portion of the suite.

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Rumors of an alliance between Cisco and VMware have been swirling with varying levels of intensity for some time.

What’s the business problem that a potential alliance needs to address?

1) The most obvious one is that current VMware Distributed Resource Scheduling (DRS), Disaster Recovery (DR), and High Availability (HA) functionality built on core capabilities like VMotion are incomplete. It’s hard to move the Virtual Machine (VM) for spare capacity or to deal with downtime to any random server and maintain the connections to the same isolated data and storage area network (SAN). Instead, administrators either have to open up the network so any server can see any other server and any storage device, a security risk, or they have to manually remap the connections.

2) The less obvious and more speculative problem to be addressed is the management and automation of business services across resources and applications. It is still primitive, though the big 4, CA, BMC, HP Openview, and IBM Tivoli are all hard at work addressing this, and CIOs are looking for the provider of a strategic, new provider.

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By George Gilbert

This is our first set of hypotheses about how virtualization is impacting each of the layers of the IT stack. We will elaborate and refine them as we continue to collect insights from vendors and our upcoming survey of IT decision makers.

The Ultimate Objective

· It’s more than just the savings from server consolidation and more than just greater flexibility in managing planned (VMotion) and unplanned downtime (disaster recovery, high availability)

· Ultimately, it’s about automating the data center in order to make it easier for companies to deliver online business and consumer services. The iconic example of an online service that complemented a traditional business was the Sabre travel reservation system born in the ‘60s. It was based on purpose-built infrastructure that required intense collaboration between the customer, American Airlines, and the vendor, IBM. More recent examples include Fedex package tracking or the familiar dot.com services from Amazon, eBay, and Google. In order to make it easier for businesses to build or assemble end to end services from existing assets, technology vendors have to convert “assets” into “pools of services” using virtualization at every layer of the IT stack.

Looking at the IT Stack Layer by Layer

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