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.
Nicolas Spiegelberg discusses Facebook Messages built on top of HBase, the systems involved and the scaling challenges for handling 500TB of new data per month.
Todd Montgomery discusses messaging: application level batching, UDP datagram size’s impact on performance, sendmmsg/recvmmsg, implementing asynchronous calls.
Frank Greco investigates WebSocket and how trading systems can be designed to leverage it for reliability, security and performance for desktop, mobile, datacenter and cloud environments.
Tom McCuch and Oleg Zhurakousky explain and demo providing messaging for distributed systems with Spring AMQP, Spring Integration and RabbitMQ.
Trisha Gee introduces the Disruptor - a parallel messaging framework -, explains how to use it in code, and shows how it was used to solve an application’s messaging needs.
Robin Zimmermann lays out the broad architectural details of server applications with a web-based client exchanging messages over WebSockets and JMS.
Richard Tibbetts presents a three-tier architecture for real-time data staging analysis, storing the results and delivering them to clients as a service accessible through a variety of interfaces.
Paul Fremantle discusses the evolution of EAI, comparing the latest approaches, suggesting using Async Messaging, EDA, APIs, and doing high volumes, and underlining that evolution is not monotonic.
Kevin Houstoun and Rupert Smith discuss the creation of Java and .NET libraries for a FIX Protocol implementation without generating garbage in order to avoid the latency spikes associated with GC.
Todd Montgomery discusses messaging and how peer-to-peer messaging has changed capital markets, then takes a peek into its future pointing out that queuing is dead.