SpringOne 2GX 2011

Chicago, October 25-28, 2011

Isaac Christoffersen

Contributor, inCommon, Inc

Isaac Christoffersen has over 15 years of experience in system integration and software solutions development for commercial and government clients. His expertise also encompasses relational database design and development, software and systems architecture and analysis, telecommunications management, and systems and software design.

Currently he is involved in the design, development, and implementation of Infrastructure and Platform as a service solutions for mission-critical systems using the latest SOA, JEE, Virtualization and open source standards and technologies.

Mr. Christoffersen is professional member of the Association for Computing Machinery (ACM). He is currently chairs the Historical and Membership committees of the Washington DC Chapter of the ACM (DC ACM). He is a frequent speaker on the use of open source and SOA technologies within the Federal Government.



Presentations

Monitoring and maintaining the IaaS and PaaS Using Hyperic HQ

With the heavy use of virtualization techonolgies in today's data centers, it has become increasingly easy to provision new servers to meet peak system demands. However, this new level of responsiveness has created new challenges for the operations management of the data center.

Using three customer case studies, this presentation will talk about how Hyperic HQ was used to greatly simplify the inventory management and system monitoring challenges. This presentation will also talk about how a monitoring solution must be a part of any Infrastructure and Platform as a Service solutions.

This session covers:

Today's data center challenges Leveraging Intelligent Data Center -Platform and Infrastructure as a Service -Aligning IT and Business Monitoring the Infrastructure Case Study – Commercial Internet Service Provider Case Study – US Army Case Study – US Intelligence Agency Demonstration -Creating a new virtual machine -Registering the VM in Hyperic Server -Configuring statistics collection Conclusion -The move towards the intelligent data center