InfoQ Homepage Event Driven Architecture Content on InfoQ
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Event Processing at Massive Scale
Uri Cohen discusses several types of queues with their pros and cons used in financial and trading industries for highly parallelized data processing.
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A Simple EventStore on both Amazon Web Services and Windows Azure
Yves Reynhout discusses event sourcing and storage, demoing implementing a conceptual event storage model on top of AWS Storage and Azure Storage Services.
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Event Sourced Architectures for High Availability
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.
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Events Are Not Just for Notifications
Greg Young discusses how to use events to store data, and how testing, versioning and performance are impacted by an event-centered model.
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Complex Event Processing: DSL for High Frequency Trading
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.
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Futures Trade Flow
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.
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Domain Event-Driven Architecture
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.
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Financial Transaction Exchange at BetFair.com
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.
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RESTful Enterprise Development
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.
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Event Patterns
Ian Cartwright presents some of his work (developed with Martin Fowler) on event patterns: Event Sourcing, Event Collaboration, Parallel Model, and Retroactive Event.
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