Alvaro Videla shows how to build a system that can ingest data produced at separate locations and replicate it across regions using RabbitMQ.
Alvaro Videla presents the more advanced features of RabbitMQ: federated brokers, HA queues and support for many protocols and languages.
Steve Pember discusses creating Grails applications integrating message broker technologies, especially RabbitMQ, and applying SOA principles.
Mike Hadlow explains why RabbitMQ makes a compelling solution for building scalable systems, overviewing its exchange-binding-queue routing topology and showing how to build messaging patterns with it.
Tom McCuch and Oleg Zhurakousky explain and demo providing messaging for distributed systems with Spring AMQP, Spring Integration and RabbitMQ.
Jeremy Grelle demoes patterns for building desktop or mobile applications leveraging WebSockets and Push-to-Device services with SockJS, RabbitMQ and Spring.
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.
Tom McCuch discusses the current trends in modern applications, how they can use messaging, how Spring Integration provides a messaging DSL, and the architecture of AMQP and RabbitMQ.
Rob Harrop demoes how to use RabbitMQ from a variety of languages (Java, Python, Ruby and Erlang) and different environments using AMQP and STOMP to achieve for multi-platform communication.
Matthias Radestock introduces messaging, AMQP and RabbitMQ. Mark Fisher and Mark Pollack present and demo Spring AMQP, an abstraction layer for using AMQP independently from the broker implementation.
Jon Brisbin tells the story of how his company of 30,000 employees moved from an ancient system to making their own private cloud based on vSphere, tcServer, RabbitMQ, and a REST framework over the period of one year. He presents the minimum requirements needed to create such a cloud, underlining the advantages brought by virtualization, parallelism, and asynchronicity.
Adam Wiggins believes that now is the time of horizontal scalability achieved by using resources that are transient, shardable and share nothing with other resources. He gives as example several applications and a language: memcached, CouchDB, Hadoop, Redis, Varnish, RabbitMQ, Erlang, detailing how each one applies those principles.