Performance and Scalability Revisited: In-Memory Data Grids

Building scalable, highly-available applications that perform well is not an easy task. These features cannot be simply “bolted” onto an existing application – they have to be architected into it. Unfortunately, the things we need to do to achieve them are often in conflict with each other, and finding the right balance is crucial.

In this session we will discuss why scaling web applications is difficult and will look at some of solutions we have come up with in the past to deal with the issues involved. We will then look at how in-memory data grids can make our jobs easier by providing a solid architectural foundation to build our applications on top of.

If you are new to in-memory data grids, you are guaranteed to leave the presentation eager to learn more. However, even if you are already using one you will likely walk out with a few ideas on how to improve performance and scalability of your applications.

About Aleksandar Seovic

Aleksandar Seović is founder and managing director at S4HC, Inc., where he leads professional services practice. He works with customers throughout the world to help them implement innovative solutions to complex business and technical problems.

Aleksandar lead the implementation of Oracle Coherence for .NET, a client library that allows applications written in any .NET language to access data and services provided by Oracle Coherence data grid. He was also one of the key people involved in the design and implementation of Portable Object Format (POF), a platform-independent object serialization format that allows seamless interoperability of Coherence-based Java, .NET and C++ applications.

Aleksandar is the author of Oracle Coherence 3.5 (Packt Publishing, 2010) and Oracle ACE Director for Fusion Middleware. He frequently speaks about and evangelizes Coherence at conferences, Java and .NET user group events, and Coherence SIGs.

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