6th Annual Conference. June 04, 2014. San Francisco

Many enterprises from small business to the largest companies are incrementally moving to a model in which: 1) The business exploits multiple public and private clouds. 2) Use a mix of cloud services that include IaaS, SaaS, web callable APIs and PaaS. 3) View acquiring cloud services to be similar to a commerce experience for physical HW and SW.
The keynote presentation:
1. Enumerates and explains technical challenges for realizing the multi-cloud and cloud marketplace.

The paper is based on the work I have done while working as a Technology Principal and Cloud Innovation Lead at Global Technology Consulting Firm. It describes unique challenges encountered during the development of a Cloud Broker. Designed to provide seamless and uniform user experience as well as additional enterprise-level capabilities over a broad range of public and private cloud platforms, the broker had to work with a wide variety of diverse cloud APIs.

Having a modern IT infrastructure on the cloud doesn’t mean that you don’t need to measure the strategic key performance indicators in order to be in control.
There is today a big uncertainty about what these indicators should be. In this paper we will demonstrate our model that has been developed in the last year based on the experience in our startup.

How would you define "big data"? To Sonian, "big data" is a cloud-powered data repository designed to manage. But it took a long time to get to this point - "big data" has taken a significant journey over the past few years. We've seen it morph into various themes; a big career opportunity for data scientists; the system of record; how the cloud can be used to effectively solve the data problem; and many others. Regardless of the form "big data" takes, it seems as though there are endless possibilities to success.

Nimbula’s Director of Product Management will discuss Nimbula’s learnings over the last few years on how to build and operate a scalable and efficient IaaS cloud. The talk will explain how to design the datacenter, business operations, and applications around the cloud model of IT so that you can achieve an extreme improvement in IT’s scalability while also significantly lowering operational expenses.

Many organizations have turned to cloud-based Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) to optimize developer productivity and increase business agility. However for all the benefits that each of these solutions can bring an organization, each faces real—but avoidable—limitations when used in isolation. On one hand IaaS requires too much configuration to offer the greatest benefit for increasingly agile development teams. At the same time PaaS doesn’t offer the customization and granular management IT needs to manage highly complex or legacy systems.

The frenzy around cloud computing is analogous to the California gold rush of the 1849. As many gold prospectors discovered, without the right planning, provisions, and ability to execute, gold remained out of reach. For many organizations the same is true regarding cloud computing — they "rush to the cloud" and then try figure out how to manage it.

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