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39:15

How Comcast Uses Data Science and ML to Improve the Customer Experience

Posted by Jan Neumann  on  May 01, 2016 1

Jan Neumann presents how Comcast uses machine learning and big data processing to facilitate search for users, for capacity planning, and predictive caching.

50:50

Immutable Infrastructure: Rise of the Machine Images

Posted by Axel Fontaine  on  Apr 24, 2016 2

Axel Fontaine looks at what Immutable Infrastructure is and how it affects scaling, logging, sessions, configuration, service discovery and more.

36:19

The Mechanics of Testing Large Data Pipelines

Posted by Mathieu Bastian  on  Apr 24, 2016

Mathieu Bastian explores the mechanics of unit, integration, data and performance testing for large, complex data workflows, along with the tools for Hadoop, Pig and Spark.

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.

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