InfoQ Homepage Messaging Content on InfoQ
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Apache Kafka Event-streaming Platform for .NET Developers
Viktor Gamov reviews Kafka -internal architecture, fault-tolerance, message durability- and how the Confluent .NET client offers a framework for computation over streaming data.
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RabbitMQ and Kafka
Zoe Vance, Madhav Sathe discuss the architecture and design of RabbitMQ and Kafka, and how that impacts performance, scalability and app design.
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Practical DDD: Bounded Contexts + Events => Microservices
Indu Alagarsamy talks about the intersection of Domain Driven Design as a software discipline with Messaging as a technology counterpart.
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Global Event Streams Made Simple with Spring Cloud Stream & Cloud Pub/Sub
Artem Bilan, Kir Titievsky discuss the Google Cloud Pub/Sub binder for Spring Cloud Stream.
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Point-to-Point Messaging Architecture - The Reactive Endgame
Ryland Degnan, Stephane Maldini explore the current state of messaging architecture and provide an R&D perspective on the future of distributed systems.
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Modern Messaging with RabbitMQ, Spring Cloud and Reactor
Arnaud Cogoluègnes demos messaging apps built with RabbitMQ with Reactor on Spring Cloud. Code used in this talk is made available for download.
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Scaling Push Messaging for Millions of Devices @Netflix
Susheel Aroskar talks about Zuul Push - a massively scalable push notification service that handles millions of "always-on" persistent connections from all Netflix apps.
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What's New in Spring AMQP 2.0
Gary Russell discusses what was new in Spring AMQP 2 including listener container implementation, type-safe RabbitTemplate operations and more.
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Cloud Event-Driven Architectures with Spring Cloud Stream 2.0
Oleg Zhurakousky overviews various types of event-driven architectures, and how the different message-oriented components of the Spring portfolio fit into the picture.
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Bots & Messaging Application APIs
Jasmine Anteunis discusses integrating bots with messaging applications.
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I Can't Believe It's Not a Queue: Using Kafka with Spring
Joe Kutner talks about Kafka and where it fits in a Spring app and how to make it do things message queues simply can't.
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Cloud Platform Adoption: Lessons Learned
Philip Glebow discusses patterns, tools and processes used by Gap for integration, messaging, data, and scaling on Cloud Foundry, sharing lessons learned and plans for the future.
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