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Tuesday, May 13 • 5:30pm - 6:10pm
Optimizing OpenStack for Large Scale Cloud Foundry Deployments

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OpenStack is the world's most popular open source Infrastructure-as-a-Service, and Cloud Foundry has become the world's most popular open source Platform-as-a-Service. Deploying them together is a natural fit for your next generation systems of engagement.
This session will describe our approach when deploying Cloud Foundry on OpenStack for our various private and public clouds over the past eighteen months. We have managed Cloud Foundry deployments of over one hundred virtual machines.
We will share our recommendations for OpenStack infrastructure selection (virtual and physical resources), OpenStack configuration (service instance distribution and tuning guidance), and Cloud Foundry/BOSH topologies for hosting the core fabric and brokered services components.
After this presentation, you will have a strong grasp of what it takes to optimize OpenStack for Cloud Foundry and a starting point for deploying your own massively scalable PaaS clusters.

Speakers
avatar for Jason Anderson

Jason Anderson

Cloud Architect, IBM
Jason Anderson is a Cloud Architect for IBM Cloud Labs in Silicon Valley, California. For the past three years, Jason has been engaging customers with IBM Cloud technologies including IBM PureApplication System. His previous roles have included product development and solution enablement... Read More →
KB

Kalonji Bankole

Software Engineer, IBM
Kalonji Bankole is a software engineer for the IBM IoT/Mobile team based in Los Angeles, California. He has been with IBM for approximately 3 years. During his time at IBM, Kalonji has worked with several customers to enhance their day to day business operations by adopting cutting... Read More →
avatar for Daniel Krook

Daniel Krook

Software Engineer & Developer Advocate, IBM
Daniel Krook is a New York area Software Engineer and Developer Advocate at IBM. He works with customers and the community to create first-of-a-kind solutions based on open source cloud technology, most recently building serverless applications with IBM Cloud Functions (powered by... Read More →
avatar for Animesh Singh

Animesh Singh

STSM and Program Director, IBM, IBM
Animesh Singh is a senior technical staff member (STSM) and program director for IBM Watson and Cloud Platform, where he leads machine learning and deep learning initiatives on IBM Cloud and works with communities and customers to design and implement deep learning, machine learning... Read More →


Tuesday May 13, 2014 5:30pm - 6:10pm
Room B102

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