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53:39
Architecture & Design Follow 2024 Followers

Latency and Event Tracing with Spring Cloud Data Flow

Posted by Henri van den Bulk  on  Jun 17, 2018 Posted by Henri van den Bulk Follow 0 Followers , Craig Duero Follow 0 Followers , Tom Martin 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 2024 Followers

How Events Are Reshaping Modern Systems

Posted by Jonas Bonér  on  Jun 15, 2018 3 Posted by Jonas Bonér Follow 3 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 576 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 2024 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 367 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 894 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 2024 Followers

Reactive Stream Processing at Netflix

Posted by Justin Becker  on  Sep 06, 2015 Posted by Justin Becker Follow 0 Followers , Neeraj Joshi 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 2 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.

54:51
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Asynchronous Programming at Netflix

Posted by Jafar Husain  on  Jan 04, 2015 Posted by Jafar Husain Follow 0 Followers  on  Jan 04, 2015

Husain shows the Reactive Extensions (Rx) library which allows one to treat events as collections, how Netflix uses Rx on the client and the server, allowing it to build end-to-end reactive systems.

49:40
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Samza in LinkedIn: How LinkedIn Processes Billions of Events Everyday in Real-time

Posted by Neha Narkhede  on  Dec 05, 2014 Posted by Neha Narkhede Follow 2 Followers  on  Dec 05, 2014

Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.

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