Ben Stopford, Farzad Pezeshkpour and Mark Atwell discuss: the Manhattan processor – avoiding GC pauses-, beyond messaging with ODC, Risk, data virtualization and collaboration in banking.
Joe Feser discusses how to enhance a legacy application into a disconnected hybrid app using Pub/Sub capabilities of the Windows Azure Service Bus.
Trisha Gee introduces Disruptor, a concurrency framework based on a data structure – a ring buffer – that enables fast message passing in a parallel environment.
Jeff Lindsay discusses creating distributed and concurrent systems using ZeroMQ – a lightweight message queue-, and gevent – a coroutine-based networking library.
Matthew Arrott considers that messaging is at the heart of distributed computing transforming the network into a destination through process choreography and cooperation.
Sid Anand presents the architecture set in place at LinkedIn and the data infrastructure running Java and Scala apps on top of Oracle, Voldemort, DataBus and Kafka.
Robert Godfrey discusses the requirements set at AMQP’s foundation: Applicability, Reliability, Fidelity, Interoperability, Manageability, Ubiquity, explaining how AMQP was designed for the future.
Marc Borbas discusses the importance of Application Performance Monitoring, explaining how it can be done with AMQP.
Alexis Richardson discusses how messaging is performed in the cloud from a Management, Integration, Scale and Federation perspective, demoing vFabric RabbitMQ’s implementation of AMQP.
Ross Cooney presents a case study of how Smith Electric Vehicles uses StormMQ in production. StormMQ is a cloud-based provider of secure AMQP services.
Carl Trieloff, Kim Palko and John Camilleri present how AMQP was born and how it has been embraced by various industries, and how it is used by RedHat and Green Energy.
David Ingham previews the support provided by Windows Azure Service Bus for AMQP.