InfoQ Homepage Event Driven Architecture Content on InfoQ
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Mini-talks: Deterministic Testing, Typesafe Config, Spreads v Probe, & Real-Time Event-Driven
Small sessions on: Deterministic testing in a non-deterministic world. Hash Spreads and Probe Functions. Typesafe Config on Steroids. Real-Time Distributed Event-Driven Computing at Credit Suisse.
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Protocols - The Glue for Applications
Torben Hoffmann talks about how to design systems with asynchronous message passing between processes that do not share any memory.
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Building and Deploying Microservices with Event Sourcing, CQRS and Docker
Chris Richardson shares his experiences developing and deploying a microservices-based application.
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Reactive Application Design for High Volume Multi-dimensional Temporal Data Series
Stuart Williams examines some of the problems faced building an application processing billions of events/day with Spring Integration, Spring Expression Language, Reactor and the LMAX Disruptor.
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Building Event-Driven Microservices with Scala, Functional Domain Models and Spring Boot
Chris Richardson discusses an event-driven microservice architecture, it’s benefits and drawbacks and how Spring Boot can help, implementing business logic using domain models written in Scala.
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The Sweet Spot
Alberto Brandolini discusses how the Theory of Constraints, Kanban, CQRS, Domain-Driven Design, EventStorming and UX blend together to solve the real problems in software development.
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So You Think You Know Pub/Sub?
Udi Dahan takes a look at why different kinds of pub/sub need to be used for specific domains like healthcare, finance, “internet of things”, and some kinds of retail.
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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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