InfoQ Homepage Event Driven Architecture Content on InfoQ
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Asychronous Design with Spring and RTI: 1M Events per Second
Stuart Williams takes a walk through the RTI architecture and explains how Spring performs at hundreds (and millions) of events/operations per second.
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Asynchronous Programming at Netflix
Husain shows the Reactive Extensions (Rx) library which allows one to treat events as collections, how Netflix uses Rx on the client and the server, allowing it to build end-to-end reactive systems.
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Applications of Enterprise Integration Patterns to Near Real-Time Radar Data Processing
Garrett Wampole describes an experimental methodology of applying Enterprise Integration Patterns to the near real-time processing of surveillance radar data, developed by MITRE.
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Samza in LinkedIn: How LinkedIn Processes Billions of Events Everyday in Real-time
Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.
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Mantis: Netflix's Event Stream Processing System
The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
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High Throughput Stream Processing with ACID Guarantees
Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.
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TSAR: How to Count Tens of Billions of Daily Events in Real Time Using Open Source Technologies
Gabriel Gonzalez introduces TSAR (TimeSeries AggregatoR), a service for real-time event aggregation designed to deal with tens of billions of events per day at Twitter.
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Going Reactive: Event-Driven, Scalable, Resilient & Responsive Systems
Jonas Bonér discusses four key traits of Reactive Apps: Event-Driven, Scalable, Resilient and Responsive, how they impact application design, how they interact, related technologies and techniques.
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Evolving REST for an IoT World
Todd Montgomery explains using WebSocket and reactive programming in an event driven RESTful architecture for the emerging IoT world.
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Going Reactive: Event-Driven, Scalable, Resilient & Responsive Systems
Jonas Bonér discusses how the four traits of reactive apps -Event-Driven, Scalable, Resilient and Responsive- impact app design, how they interact, and their supporting technologies and techniques.
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Event Store for Web Applications
Greg Young discusses unexpected use cases and possible usages of the Event Store.
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Application Architectures with Grails
Peter Ledbrook overviews several application architectures that can be done in Grails: MVC plus a DB back-end and a service layer, single-page, and event-based back-end.
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