InfoQ Homepage Event Driven Architecture Content on InfoQ
-
Taming Large State: Lessons from Building Stream Processing
Sonali Sharma and Shriya Arora describe how Netflix solved a complex join of two high-volume event streams using Flink.
/presentations/netflix-event-stream-flink/en/mediumimage/Doibig-1591272699493.jpg)
-
Internet of Tomatoes: Building a Scalable Cloud Architecture
Flavia Paganelli tells the story of 30MHz’s platform and how they ended up helping growers in 30 countries, deploying 3.5K sensors and process data at 4K events per second.
/presentations/iot-framework-farmers-sensors/en/mediumimage/Flabig-1589274492326.JPG)
-
From Batch to Streaming to Both
Herman Schaaf talks about Skyscanner’s journey to implement their data platform to stream and store millions of events per second.
/presentations/skyscanner-streaming/en/mediumimage/Herbig-1589190243234.JPG)
-
Getting Microservices and Legacy to Play Nicely Together with Event-Driven Architectures
Duston Mounts discusses how to use an event-driven architecture to connect microservices to legacy systems.
/presentations/microservices-event-driven-arch-legacy/en/mediumimage/Dusbig-1588930020150.JPG)
-
Getting Started with Azure Event Hubs
Chad Green shows how to create an event-processing pipeline in Azure.
/presentations/azure-event-pipeline/en/mediumimage/Chad-Green-m-1588252194610.jpg)
-
Event-Driven Java Applications with Redis 5.0 Streams
Mark Paluch takes a look at how to integrate Redis streams into applications, and how to consume and produce messages to build a message-oriented Java application with Redis the Spring way.
/presentations/event-driven-redis-spring/en/mediumimage/Markbig-1584660104509.JPG)
-
Opportunities and Pitfalls of Event-driven Utopia
Bernd Rücker goes over the concepts, the advantages, and the pitfalls of event-driven utopia. He shares real-life stories or points to source code examples.
/presentations/event-driven-benefits-pitfalls/en/mediumimage/bernd-rucker-event-driven-benefits-pitfalls-m-1570494534981.jpg)
-
The Events Must Flow: Lessons Learnt Evolving the Spotify’s Event Delivery System
Nelson Arape discusses the evolution of the Spotify’s Event Delivery System and the lessons learned along the way.
/presentations/spotify-event-system/en/mediumimage/Nelson-Arape-m-1564744282761.jpg)
-
Bootiful CQRS and Event Sourcing with Axon Framework
Allard Buijze discusses using Spring Boot's autoconfiguration and Axon's separation of business logic and infrastructure concerns to set up a CQRS and Event Sourcing application.
/presentations/cqrs-event-spring-boot-axon/en/mediumimage/All big-1555331004780.JPG)
-
Complex Event Flows in Distributed Systems
Bernd Ruecker demonstrates how the new generation of lightweight and highly-scalable state machines ease the implementation of long running services.
/presentations/event-flow-systems/en/mediumimage/Bernd-Ruecker-m-1554389288898.jpeg)
-
Building Cloud-Native Data-Intensive Applications with Spring
Sabby Anandan and Soby Chako discuss how Spring Cloud Stream and Kafka Streams can support Event Sourcing and CQRS patterns.
/presentations/spring-cloud-kafka-streams-cqrs/en/mediumimage/Doibig-1553787060966.JPG)
-
Event-Driven Architectures with Apache Geode and Spring Integration
Charlie Black deploys Spring Integration pipelines to react to changes of the data stored in Apache Geode.
/presentations/apache-geode-spring-integration-pipelines/en/mediumimage/Chabig-1553140295208.JPG)