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49:29
Architecture & Design Follow 2528 Followers

Complex Event Flows in Distributed Systems

Posted by Bernd Ruecker  on  Sep 14, 2018 Posted by Bernd Ruecker Follow 1 Followers  on  Sep 14, 2018

Bernd Ruecker demonstrates how the new generation of lightweight and highly-scalable state machines ease the implementation of long running services.

51:29
Architecture & Design Follow 2528 Followers

Designing Events-First Microservices

Posted by Jonas Bonér  on  Sep 13, 2018 1 Posted by Jonas Bonér Follow 12 Followers  on  Sep 13, 2018 1

Jonas Bonér explores the nature of events, what it means to be event-driven, how to unleash the power of events and commands by applying an events-first DDD to microservices-based architectures.

53:39
Architecture & Design Follow 2528 Followers

Latency and Event Tracing with Spring Cloud Data Flow

Posted by Tom Martin  on  Jun 17, 2018 Posted by Tom Martin Follow 0 Followers , Henri van den Bulk Follow 0 Followers , Craig Duero Follow 0 Followers  on  Jun 17, 2018

Presenters discuss how Charles Schwab used Sleuth/Zipkin with SCDF to provide latency and event tracing.

53:46
Architecture & Design Follow 2528 Followers

How Events Are Reshaping Modern Systems

Posted by Jonas Bonér  on  Jun 15, 2018 3 Posted by Jonas Bonér Follow 12 Followers  on  Jun 15, 2018 3

Jonas Bonér explores the nature of events, what it means to be event-driven, and how to unleash the power of events.

25:10
Development Follow 746 Followers

High Performance Data Mart Using Event Plots

Posted by Chaitanya Chalasani  on  Mar 31, 2018 Posted by Chaitanya Chalasani Follow 0 Followers  on  Mar 31, 2018

Chaitanya Chalasani presents a case study and demonstration of near real-time asynchronous event processing-based plotting of events and states of FSMs.

38:15
Architecture & Design Follow 2528 Followers

Custom, Complex Windows @Scale Using Apache Flink

Posted by Matt Zimmer  on  Jan 23, 2018 Posted by Matt Zimmer Follow 0 Followers  on  Jan 23, 2018

Matt Zimmer discusses Apache Flink, how to use it to aggregate events into windows customized along varying definitions of a session, handling out-of-order events, and more.

53:32
JavaScript Follow 455 Followers

Adventures in Elm: Events, Reproducibility, and Kindness

Posted by Jessica Kerr  on  Aug 02, 2016 Posted by Jessica Kerr Follow 2 Followers  on  Aug 02, 2016

Jessica Kerr introduces Elm, focusing on its architecture: how it overturns what is essential in object-oriented and even back-end functional programming.

36:31
Java Follow 1154 Followers

RxJava and SWT: Out with Events, in with FRP

Posted by Ned Twigg  on  Apr 28, 2016 2 Posted by Ned Twigg Follow 0 Followers  on  Apr 28, 2016 2

Ned Twigg discusses using RxJava to wrap SWT events, looking at a few simple SWT UI's, and coding them using raw SWT and then again using RxJava.

42:29
Architecture & Design Follow 2528 Followers

Reactive Stream Processing at Netflix

Posted by Neeraj Joshi  on  Sep 06, 2015 Posted by Neeraj Joshi Follow 0 Followers , Justin Becker Follow 0 Followers  on  Sep 06, 2015

Justin Becker & Neeraj Joshi describe Mantis, discuss the challenges associated with designing for the cloud, processing billions of events, all while being cost sensitive.

01:07:29
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So You Think You Know Pub/Sub?

Posted by Udi Dahan  on  Apr 24, 2015 1 Posted by Udi Dahan Follow 3 Followers  on  Apr 24, 2015 1

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.

01:08:08
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Spring Integration Done Boot-ifully

Posted by Glenn Renfro  on  Apr 18, 2015 Posted by Glenn Renfro Follow 0 Followers  on  Apr 18, 2015

Glenn Renfro discusses how to create an application with a scheduler that will retrieve data from a web service, cleanse and emit the data via MQTT, by utilizing Spring Boot and Spring Integration.

01:03:48
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Not Just Layers! What Can Pipelines and Events Do for You?

Posted by Ian Cooper  on  Feb 25, 2015 Posted by Ian Cooper Follow 0 Followers  on  Feb 25, 2015

Ian Cooper takes a look at two architectural patterns: pipelines for dealing with streams of data effectively, and events which provide significant advantages for loose coupling.

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