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48:46

How 30 Years of Ticket Transaction Data Helps you Discover New Shows!

Posted by Vaclav Petricek  on  Aug 19, 2015

Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.

51:37

Operating Microservices

Posted by Michael Brunton-Spall  on  Aug 13, 2015 1

Michael Brunton-Spall shows how DevOps-like patterns can be applied on microservices to give the development teams more responsibility for their choices, and much more.

58:24

Distributed Scheduling with Apache Mesos in the Cloud

Posted by Diptanu Choudhury  on  Aug 02, 2015

Diptanu Choudhury discusses the design of Netflix’ distributed scheduler based on Mesos and Titan, focusing on bin packing algorithms, scaling in and out of clusters, fault tolerance, and redundancy.

36:35

Mini-talks: Deterministic Testing, Typesafe Config, Spreads v Probe, & Real-Time Event-Driven

Posted by A. Falck, M. Rezaei, E. Pederson, B. Brodie  on  Jul 31, 2015

Small sessions on: Deterministic testing in a non-deterministic world. Hash Spreads and Probe Functions. Typesafe Config on Steroids. Real-Time Distributed Event-Driven Computing at Credit Suisse.

58:37

Building Distributed Systems with Apache Mesos

Posted by Benjamin Hindman  on  Jul 25, 2015

Benjamin Hindman discusses Apache Mesos, focusing on the Mesos API and how the primitives provided by Mesos can make it easier to build new stateful services and frameworks.

50:41

Five Techniques to Improve How You Debug Servers

Posted by Tal Weiss  on  Jul 18, 2015

Tal Weiss explores five crucial Java techniques for distributed debugging and some of the pitfalls that make bug resolution much harder, and can even lead to downtime.

49:53

Lightning Fast Cluster Computing with Spark and Cassandra

Posted by Piotr Kołaczkowski  on  Jun 17, 2015

Piotr Kołaczkowski discusses how they integrated Spark with Cassandra, how it was done, how it works in practice and why it is better than using a Hadoop intermediate layer.

50:13

Spring Cloud - A Toolbox for Distributed Systems

Posted by Oliver Gierke  on  May 08, 2015 1

Oliver Gierke summarizes the problems Spring Cloud tries to solve and introduces the individual modules through practical code examples.

01:29:00

Distributed Platform Development with Groovy

Posted by Dan Woods  on  Mar 21, 2015

Dan Woods discusses the approach to developing a scalable enterprise architecture, and demonstrates implementations based on the variety of technologies available from the Groovy ecosystem.

33:44

Programming and Testing a Distributed Database

Posted by Reid Draper  on  Mar 20, 2015

Reid Draper shows how real world distributed database work, communicate and are tested, trading RPC for messaging, unit-tests for QuickCheck, and micro-benchmarks for multi-week stress tests.

35:16

Better Together - Using Spark and Redshift to Combine Your Data with Public Datasets

Posted by Eugene Mandel  on  Mar 12, 2015

Eugene Mandel discusses challenges of conforming data sources and compares processing stacks: Hadoop+Redshift vs Spark, showing how the technology drives the way the problem is modeled.

01:15:43

Building a Recommendation Engine with Spring and Hadoop

Posted by Michael Minella  on  Mar 08, 2015

Michael Minella uses Spring XD and Spring Batch to orchestrate the full lifecycle of Hadoop processing and uses Apache Mahout to provide the audience with the recommendation processing.

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