The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.
The session covers various GC tuning techniques, in particular focusing on tuning large scale JVM deployments and showing how to optimally size a platform for enhanced memory consumption.
Ward Penney discusses a few tools, benefits and war stories surrounding Live Style Guides.
The authors discuss some of the unique challenges they've faced delivering highly personalized search over semi-structured data at massive scale.
Raymond Blum discusses some of the challenges, solutions and discarded alternatives in creating durable storage systems at Google scale.
Brittany Young discusses a framework for identifying the performance metrics that matter most to users, looking at improving the development life cycle by knowing common mobile performance blind spots
The authors discuss patterns and technologies needed to scale large enterprise mobile systems, covering handling network connectivity, data reliability and real-time communication.
Michael Bryzek shares lessons learned from startup to a leading ecommerce companies, starting with behavioral psychology and reflecting on the decisions made and tradeoffs considered as they scaled.
Ovidiu Dimulescu provides tips for working with local and remote JVMs, startup flags, analyzing and correlating thread dumps with CPU consumption, instrumentation, multi-tenant JVMs, memory games, etc
Brett Meyer demos using multiple-tenancy, geographic data, auditing/versioning, sharding, OSGi, and integration with Hibernate.