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56:38

How to Have Your Causality and Wall Clocks Too

Posted by Jon Moore  on  Apr 10, 2016

Jon Moore talks about distributed monotonic clocks (DMC) whose timestamps can reflect causality but which have a component that stays close to wall clock time.

38:27

Stream Processing with Apache Flink

Posted by Robert Metzger  on  Apr 07, 2016

Robert Metzger provides an overview of the Apache Flink internals and its streaming-first philosophy, as well as the programming APIs.

43:44

Rethinking Streaming Analytics for Scale

Posted by Helena Edelson  on  Apr 03, 2016

Helena Edelson addresses new architectures emerging for large scale streaming analytics based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) or Apache Flink or GearPump.

43:44

Monkeys in Lab Coats: Applying Failure Testing Research @Netflix

Posted by Peter Alvaro, Kolton Andrus  on  Mar 24, 2016

The authors present how lineage-driven fault injection evolved from a theoretical model into an automated failure testing system that leverages Netflix’s fault injection and tracing infrastructures.

51:04

#NetflixEverywhere Global Architecture

Posted by Josh Evans  on  Mar 23, 2016

Josh Evans discusses architectural patterns used by Netflix to enable seamless, multi-region traffic management, reliable, fast data propagation, and efficient service infrastructure.

01:20:48

Reactive Web Applications

Posted by Stephane Maldini, Rossen Stoyanchev  on  Mar 04, 2016 1

Stephane Maldini and Rossen Stoyanchev discuss building reactive web applications, the choice of runtimes, using reactive streams for network I/O and the reactive programming model.

01:30:26

Developing Real-time Data Pipelines with Apache Kafka

Posted by Joe Stein  on  Mar 04, 2016

Joe Stein makes an introduction for developers about why and how to use Apache Kafka. Apache Kafka is a publish-subscribe messaging system rethought of as a distributed commit log.

48:11

Building Highly-resilient Systems at Pinterest

Posted by Yongsheng Wu  on  Feb 27, 2016

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.

43:48

Inside Yelp's SOA Infrastructure

Posted by Kyle Anderson  on  Feb 27, 2016

Kyle Anderson discusses details on how to tie Mesos, Docker, SmartStack, Haproxy, Git, and Sensu all together into a coherent system that developers can use to ship their code in a self-serve way.

01:14:52

Applied Spring Integration, Spring AMQP and RabbitMQ in Spring XD

Posted by Gary Russell  on  Feb 19, 2016

Gary Russell discusses how Spring Integration and Spring AMQP are used as two of the underlying technologies in Spring XD.

01:24:27

Apache Spark for Big Data Processing

Posted by Ilayaperumal Gopinathan, Ludwine Probst  on  Feb 14, 2016

Ilayaperumal Gopinathan and Ludwine Probst discuss Spark and its ecosystem, in particular Spark Streaming and MLlib, providing a concrete example, and showing how to use Spark with Spring XD.

48:51

Preparing PayPal for Launch

Posted by Sri Shivananda  on  Feb 13, 2016

Sri Shivananda presents a case study on what it took to successfully separate PayPal’s technical infrastructure from eBay Inc. Sri shares key learnings applicable to engineers and developers.

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