James Lewis tells the story of building a resource oriented, event driven system out of applications about 1000 lines long.
Uri Cohen discusses several types of queues with their pros and cons used in financial and trading industries for highly parallelized data processing.
Yves Reynhout discusses event sourcing and storage, demoing implementing a conceptual event storage model on top of AWS Storage and Azure Storage Services.
Martin Thompson discusses achieving high availability by using an event sourced architecture in which changes of the system’s state is captured as a sequence of events.
Donald Belcham presents the Event Aggregator pattern and the event problems it solves: tight coupling, refactoring difficulty, object chaining, memory leak, showing how to build one.
Greg Young discusses how to use events to store data, and how testing, versioning and performance are impacted by an event-centered model.
Richard Tibbetts discusses Complex Event Processing in the context of High Frequency Trading and the advantages of using high level DSLs, followed by the case study of a system built with StreamBase.
Ian Bond presents the development of a trade flow event-driven architecture, providing the background of futures trade, the domain and the solution, sharing some of the lessons learned along the way.
Stefan Norberg introduces Domain Event-Driven Architecture, how it helps SOA, and how it has been used by Unibet to make its architecture less coupled, resulting in better performance and scalability.
Our application runs over 10,000 sustained transactions per second with a rich model. The key? Modeling state transitions explicitly.
This presentation covers Betfair's efforts, e.g. Flywheel, that enables serving 50,000 low cost transactions per second. This technology has become the basis for the Tradefair financial exchange.
In this presentation, recorded at QCon San Francisco, ThoughtWorks' Ian Robinson explains how a RESTful HTTP approach, using many advanced Web concepts, can be applied in an Enterprise project.