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Ari Zilka, Founder, Terracotta

 Ari  Zilka, Founder

Prior to founding Terracotta in 2003, Ari was an Entrepreneur-in-Residence at Accel Partners. Before joining Accel, Ari was the Chief Architect at Walmart.com, where he led the innovation and development of the company's new engineering initiatives. At Walmart.com, he built and led a team of core engineers focused on performance management, and operations cost-saving measures.

Prior to Walmart.com, Ari worked as a consultant at Sapient and before that at PriceWaterhouseCoopers. During these years, he managed development and advised businesses on high technology strategy and deployment. His accomplishments at Sapient include the successful launch of Walmart.com, as well as successful engagements with Gap.com and Nike.com. At PriceWaterhouseCoopers, he worked with Harrod's of London, Siemens, Intel, Compaq, Barnes & Noble, and others.

Ari's career started as a software engineer for a subsidiary of Motorola, where he wrote groundbreaking wireless paging software. Since then, his software development accomplishments also include projects revolving around statistical analysis and data warehousing. In the mid 1990's, Ari invented a new object relational database that still exceeds the capabilities and performance of database technology today.

Ari holds a B.S. in Electrical Engineering Computer Science as well as in Mechanical Engineering from University of California, Berkeley.

Presentation: "Panel Discussions: Architecting for Performance and Scalability"

Time: Thursday 11:00 - 12:00

Location: Rutherford Room

Abstract: TBA

Presentation: "Clustered Architecture Patterns: Delivering Scalability and Availability"

Time: Thursday 13:00 - 14:00

Location: Rutherford Room

Abstract:

Developing enterprise apps that run on server clusters is hard. Current approaches are hard on the application developer, demanding on the application infrastructure, and suffer from serious performance and scalability limits.

This session introduces Network-Attached Memory, a technology that transparently extends Java heap and the Java Memory Model across multiple JVMs, and shows how to use it to develop simple, yet scalable applications.

The talk will also discuss actual deployments where Network-Attached Memory is currently delivering HA and scale, dramatically reducing load on expensive databases.