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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.

01:19:37

Apps + Data + Cloud: What Does It All Mean?

Posted by Matt Stine  on  Mar 08, 2015

Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.

48:32

Consul: Service-oriented at Scale

Posted by Armon Dadgar  on  Mar 07, 2015

Armon Dadgar presents Consul, a distributed control plane for the datacenter. Armon demonstrates how Consul can be used to build, configure, monitor, and orchestrate distributed systems.

01:29:51

The Revolution Will Not Be Centralized

Posted by Chris Beams  on  Feb 20, 2015 1

Chris Beams shares his findings from over two years of research into bitcoin and related technologies.

01:26:22

Reactive Oriented Architecture with Grails

Posted by Steve Pember  on  Feb 06, 2015 4

Steve Pember discusses the tenants of the Reactive Pattern and the importance of moving away from Monolithic to Reactive architectures.

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