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56:46

Future of Container-Enabled Infrastructure

Posted by Brandon Philips  on  Jul 22, 2016

Brandon Philips describes how bringing containers, schedulers, and distributed systems together will create more reliable and greatly more trusted server infrastructures.

30:44

Monitoring and Troubleshooting Real-Time Data Pipelines

Posted by Alan Ngai, Premal Shah  on  Jul 20, 2016

Alan Ngai and Premal Shah discuss best practices on monitoring ​distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.

34:07

Distributed Consensus: Making the Impossible Possible

Posted by Heidi Howard  on  Jun 28, 2016

Heidi Howard explores how to construct resilient distributed systems on top of unreliable components. Howard discusses which algorithms are best suited to different situations.

49:52

Distributed Systems in Practice, in Theory

Posted by Aysylu Greenberg  on  Jun 28, 2016

Aysylu Greenberg discusses some of the new architectural patterns from systems she has worked on at Google and the related work that provides insights into the motivations behind them.

47:39

What We Talk about When We Talk about Distributed Systems

Posted by Alvaro Videla  on  Jun 08, 2016

Alvaro Videla reviews distributed systems: async/sync, message passing, shared memory, failure detectors, leader election, consensus and different kinds of replication, and recommends related books.

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.

39:53

Connecting Stream Processors to Databases

Posted by Gian Merlino  on  Apr 03, 2016

Gian Merlino discusses stream processors and a common use case - keeping databases up to date-, the challenges they present, with examples from Kafka, Storm, Samza, Druid, and others.

51:06

A Brief History of Chain Replication

Posted by Christopher Meiklejohn  on  Mar 13, 2016

Christopher Meiklejohn talks through a history of chain replication, starting with the original work from 2004 by van Renesse and Schneider up to new and unique designs of chain replication.

51:29

The Raft Consensus Algorithm

Posted by Diego Ongaro  on  Mar 02, 2016

Diego Ongaro introduces Raft, a consensus algorithm for managing a replicated log by separating the key elements of consensus and reducing the number of states that must be considered.

38:48

Architecting Distributed Databases for Failure

Posted by Fangjin Yang  on  Feb 27, 2016

Fangjin Yang covers common problems and failures seen with distributed systems, and discusses design patterns that can be used to maintain data integrity and availability when everything goes wrong.

01:26:57

Hadoop Workflows and Distributed YARN Apps using Spring Technologies

Posted by Thomas Risberg, Janne Valkealahti  on  Feb 21, 2016

The authors discuss how Spring for Apache Hadoop can make developing workflows with Map Reduce, Spark, Hive and Pig jobs easier, and using Spring Cloud to build distributed apps for YARN.

01:11:54

Federated Queries with HAWQ - SQL on Hadoop and Beyond

Posted by Christian Tzolov  on  Feb 04, 2016

Christian Tzolov shows different integration approaches between HAWQ and GemFire, showing using Spring XD to ingest GemFire data into HDFS and using Spring Boot to implement a RESTful proxy for HAWQ.

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