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Event Driven Architecture Content on InfoQ

Presentations about Event Driven Architecture

Event Sourcery by Sebastian von Conrad, James Ross Posted on Sep 17, 2016

Adventures in Elm: Events, Reproducibility, and Kindness by Jessica Kerr Posted on Aug 02, 2016

Server-Less Design Patterns for the Enterprise with AWS Lambda by Tim Wagner Posted on Jul 08, 2016

Handling Streaming Data in Spotify Using the Cloud by Neville Li, Igor Maravić Posted on Jul 06, 2016

Large-Scale Stream Processing with Apache Kafka by Neha Narkhede Posted on Jul 03, 2016

Staying in Sync: from Transactions to Streams by Martin Kleppmann Posted on May 20, 2016

Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year by Peter Bakas Posted on May 19, 2016

RxJava and SWT: Out with Events, in with FRP by Ned Twigg Posted on Apr 28, 2016 2

All presentations

News about Event Driven Architecture

Vaughn Vernon on Microservices and Domain-Driven Design by Jan Stenberg Posted on Jul 31, 2016

Neha Narkhede: Large-Scale Stream Processing with Apache Kafka by Ralph Winzinger Posted on Jun 19, 2016

Eric Evans: Is Domain-Driven Design Beneficial for Software Development? by Jan Stenberg Posted on Jun 16, 2016 1

Comparison of Event Sourcing with Stream Processing by Jan Stenberg Posted on May 25, 2016

Azure Stream Analytics Publishing to Power BI Reaches General Availability by Kent Weare Posted on May 11, 2016

A Whole System Based on Event Sourcing is an Anti-Pattern by Jan Stenberg Posted on Apr 26, 2016 4

Apache Storm Reaches 1.0, Brings Improved Performance, Many New Features by Sergio De Simone Posted on Apr 14, 2016

Microservices for a Streaming World by Jan Stenberg Posted on Mar 14, 2016

Moving from Transactions to Streams to Gain Consistency by Jan Stenberg Posted on Mar 13, 2016

Articles about Event Driven Architecture

High Load Trading Transaction Processing with Reveno CQRS/Event Sourcing Framework by Artem Dmitriev Posted on Mar 29, 2016 2

Big Data Processing with Apache Spark - Part 3: Spark Streaming by Srini Penchikala Posted on Jan 07, 2016 5

Reactive Messaging Patterns with the Actor Model Book Review and Q&A with Vaughn Vernon by Jan Stenberg Posted on Oct 06, 2015 2

Storm Applied Review and Q&A with the Authors by Sergio De Simone Posted on Jul 27, 2015

Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse by Kai Wähner Posted on Sep 10, 2014 8

Large Scale Event Tracking with RabbitMQ by Dr. Claire Fautsch Posted on Aug 13, 2014

Exchanging Industry Experiences with Agile Methodologies by Ben Linders Posted on May 23, 2014

Reactive Cloud Actors: An Evolvable Web of Events by Ali Kheyrollahi Posted on May 19, 2014

Exposing CQRS Through a RESTful API by Ali Kheyrollahi Posted on Dec 09, 2013 7

Interviews about Event Driven Architecture

Chris Richardson on Functional Programming in Scala and Java, Event Sourcing by Chris Richardson Posted on Oct 09, 2015

Martin Kleppmann on Using Logs for Building Data Infrastructure, CAP, CRDTs by Martin Kleppmann Posted on Jun 28, 2015

Barbara Fusinska on Building Offline Mobile Applications by Barbara Fusinska Posted on Feb 10, 2015

Chris Richardson Discusses CQRS and Event Sourcing via Docker by Chris Richardson Posted on Dec 08, 2014

Allard Buijze on CQRS, Event Sourcing and the Axon Framework by Allard Buijze Posted on May 13, 2014

Francesco Cesarini and Viktor Klang on the Reactive Manifesto by Francesco Cesarini and Viktor Klang Posted on Jan 16, 2014 1

Darach Ennis on CEP, Stream Processing, Messaging, OOP vs Functional Architecture by Darach Ennis Posted on May 09, 2013 2

The Larger Purpose of Big Data with Pavlo Baron by Pavlo Baron Posted on Jan 30, 2013

Stuart Williams on Vert.x by Stuart Williams Posted on Jan 22, 2013

Books about Event Driven Architecture

InfoQ eMag: Hadoop Apache Hadoop is proving useful in deriving insights out of large amounts of data, and is seeing rapid improvements. Hadoop 2 now goes beyond Map-Reduce; it is more modular, pluggable and flexible and it fits a variety of use cases better. We explore this as well as some tools that can help utilize Hadoop better.
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