Apache CloudStack helps an administrator or devops engineer build an Infrastructure as a Service cloud. This talk provides a technical introduction to Apache CloudStack.
Cloud computing provides well-known benefits: potential for increased automation, elasticity, and better use of server hardware. But there are many challenges in deploying your own IaaS cloud. Which software to use? What features do you need? What deployment architecture will you need? And where will all this get you three or five years from now?
Apache CloudStack is one option for IaaS clouds. It includes many features layered on the virtualization, networking, storage, and hardware available in your data center. It includes an API and web UIs for administrators and end users.
CloudStack can support simple deployments or complex, multi-site ones. This talk presents decision points in the design of your CloudStack cloud and guidance on making those key decisions to build a successful cloud. A well designed cloud will also integrate with other open source projects, and several options are discussed for common use cases.
The CloudStack community and software capabilities are growing rapidly. There are many ways to join and contribute, and a brief introduction to the software architecture is provided to help developers understand where they could integrate their favorite projects or contribute to CloudStack’s core features. Some thoughts for potential future directions for open source cloud in the data center are presented as well.
Kevin is Vice President of Engineering at Elasticsearch, which he recently joined. Previously Kevin was at Citrix Systems where he was responsible for engineering of Citrix CloudPlatform, powered by Apache CloudStack. Prior to joining Citrix as part of the Cloud.com acquisition, Kevin was the Vice President of Engineering of Cloud.com , where he led all of the product development activities at Cloud.com. Kevin has also held senior engineering positions at several other start-ups and Sun Microsystems. Kevin has a B.S. and M.S. in Computer Science from Stanford University.
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