InfoQ Homepage Event Driven Architecture Content on InfoQ
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Building Microservices with Event Sourcing and CQRS
Michael Ploed talks about the distributed data management challenges that arise in a microservices architecture and how they can be solved using event sourcing in an event-driven architecture.
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Building Highly-resilient Systems at Pinterest
Yongsheng Wu talks about how to build highly-resilient systems at scale. Wu presents also failure cases that prompted engineers at Pinterest to build such systems, and how they test these systems.
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Light and Fluffy APIs in the Cloud
Shiva Narayanaswamy discusses event driven architectures, serverless architectures, identity management and security related to building APIs in the cloud.
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Richer Data History with Event Sourcing
Steve Pember presents the basic concepts of Event Sourcing, its role on analytics and performance, and the importance of storing historical events to get a view on data at any time.
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Demystifying Stream Processing with Apache Kafka
Neha Narkhede describes Apache Kafka and Samza: scalability and parallelism through data partitioning, fault tolerance, order guarantees, stateful processing, and stream processing primitives.
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Stream Processing at Scale with Spring XD and Kafka
Marius Bogoevici demoes how to unleash the power of Kafka with Spring XD, by building a highly scalable data pipeline with RxJava and Kafka, using Spring XD as a platform.
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Stream Processing in Uber
Danny Yuan discusses how Uber uses stream processing to solve a wide range of problems, including real-time aggregation and prediction on geospatial time series, and much more.
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Powering the Industrial Enterprise: Introducing the IOT Platform-as-a-Service
Jesus Rodriguez explores the characteristics of the IOT PaaS vs. predecessor PaaS architectures, focusing on device management, event driven integration, real-time analytics and offline communication.
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Pulsar: Real-time Analytics at Scale
Sharad Murthy & Tony Ng present Pulsar, a real-time streaming system which can scale to millions of events per second with high availability and 4GL language support.
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Reactive Programming at Cloud-Scale and Beyond
Bart de Smet discusses how the reactive programming paradigm can be used for event stream processing and how it can be applied from small devices all the way to cloud-scale infrastructures.
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Reactive Stream Processing at Netflix
Justin Becker & Neeraj Joshi describe Mantis, discuss the challenges associated with designing for the cloud, processing billions of events, all while being cost sensitive.
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Developing Functional Domain Models with Event Sourcing
Chris Richardson describes how to implement business logic using a domain model that is based on event sourcing. He compares and contrasts a hybrid OO/FP design with a purely functional approach.
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