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In this session, you will gain real insights into real solution alternatives, using WebSphere Extreme Scale, for resolving existing customer pain points with their pre-existing caching solution.
A caching solution is not a one-size-fits-all approach. We will explore the various techniques used to in a customer POC to resolve issues with performance, scalability, cache preloading, database synchronization, and the importance of data placement in the Extreme Scale cache for optimal performance. The customer options for caching alternatives will be presented in context of the primary caching scenarios to choose from: JPA L2, Side Cache, In-Line Cache, and Extreme Processing. The importance of understanding the main customer requirements, tolerance of code modifications, and use cases effectively determine the optimal solution.
Kevin Postreich:
Kevin Postreich is a Sr. IT specialist / consultant with IBM. He joined the World Wide Application Infrastructure technical sales team in April 2012 supporting customer deployments of WebSphere Application Server, WebSphere eXtreme Scale, PureApplication System, and WebSphere Service Registry and Repository. Kevin also has a strong background in in SystemZ and middleware / application performance engineering and troubleshooting methodologies.
Kevin is certified with the following IBM technologies: PureApplication System, WebSphere Application Server, and SOA technologies. He is also a Master Certified I/T Specialist through the Open Group.
During his tenure in IBM Software lab services (ISSW), Kevin worked with clients to architect, design, and implement SOA Governance solutions with WSRR, WMB, and WESB. Kevin is familiar working with the IBM SOA Policy Gateway pattern for PureApplication System, which leverages WSRR, DataPower for SLA enforcement in the SOA architecture.
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