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47:07
Architecture & Design Follow 1755 Followers

Erlang in the Cloud: The Talko Service Architecture

Posted by Ransom Richardson  on  Sep 26, 2015 1 Posted by Ransom Richardson Follow 0 Followers  on  Sep 26, 2015 1

Ransom Richardson presents the Talko service architecture, its implementation and operation in the cloud, why they are using Erlang for it and key things learned along the way.

35:16
AI, ML & Data Engineering Follow 703 Followers

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

Posted by Eugene Mandel  on  Mar 12, 2015 Posted by Eugene Mandel Follow 0 Followers  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.

59:21
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The Evolution of Testing Methodology at AWS: From Status Quo to Formal Methods with TLA+

Posted by Tim Rath  on  Feb 21, 2015 Posted by Tim Rath Follow 0 Followers  on  Feb 21, 2015

Tim Rath explains how and why Amazon incorporated more powerful testing methodologies, ultimately leading them to the use of formal methods where TLA+ has become a cornerstone to our overall strategy.

48:09
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How We Learned to Stop Worrying and Start Deploying the Netflix API Service

Posted by Sangeeta Narayanan  on  Jan 17, 2015 Posted by Sangeeta Narayanan Follow 0 Followers  on  Jan 17, 2015

Sangeeta Narayanan goes over how Netfix got to the current continuous delivery state, the lessons they learnt and the successes they enjoyed along the way.

50:40
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NoSQL Like There is No Tomorrow

Posted by Swami Sivasubramanian  on  Oct 12, 2014 Posted by Swami Sivasubramanian Follow 0 Followers , Khawaja Shams Follow 0 Followers  on  Oct 12, 2014

The authors take a deep dive into the history of NoSQL at Amazon.com, from the world of relational databases to the Dynamo days to the world of managed services like DynamoDB.

43:56
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Machine Learning at Netflix Scale

Posted by Aish Fenton  on  Oct 07, 2014 4 Posted by Aish Fenton Follow 0 Followers  on  Oct 07, 2014 4

Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.

51:13
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Analyzing Big Data On The Fly

Posted by Shawn Gandhi  on  Aug 03, 2014 1 Posted by Shawn Gandhi Follow 0 Followers  on  Aug 03, 2014 1

Shawn Gandhi overviews real-time processing use cases, and how developers are using AWS Kinesis to shift from a traditional batch-oriented approach to a continual real-time data processing model.

01:28:08
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Deploying, Scaling, and Running Grails on AWS and VPC

Posted by Ryan Vanderwerf  on  Jan 24, 2014 Posted by Ryan Vanderwerf Follow 0 Followers  on  Jan 24, 2014

Ryan Vanderwerf explains how to create and deploy a Grails application on AWS VPC using various services such as RDS, S3, autoscaling, S3FS, EBS, etc.

42:26
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Architecting Organizations for the Cloud

Posted by Sebastian Stadil  on  Jan 16, 2014 Posted by Sebastian Stadil Follow 0 Followers  on  Jan 16, 2014

Sebastian Stadil advises on selecting the right cloud from EC2, GCE, or OpenStack based on one's needs, outlining the deployment and administrative challenges to be faced with each option.

29:19
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Why Must I Use Cloud Foundry's Bosh? I just Learned Chef/Puppet!

Posted by Nic Williams  on  Nov 08, 2013 Posted by Nic Williams Follow 0 Followers  on  Nov 08, 2013

Nic Williams discusses deploying Cloud Foundry on AWS or OpenStack using Bosh, a tool chain for release engineering, deployment and lifecycle management of large scale distributed services.

43:00
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Dare Mighty Things: How JPL Explores the Cosmos through the Clouds

Posted by Rob Witoff  on  Oct 31, 2013 Posted by Rob Witoff Follow 1 Followers  on  Oct 31, 2013

Rob Witoff presents how JPL and the Curiosity rover mission use cloud computing, including EC2, CloudFormation, and Simple Workflow - to enable research, engineering and operations technologies.

01:26:08
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Orchestrating Tasks from the Cloud with Groovy and AWS SWF

Posted by Clay McCoy  on  Oct 22, 2013 Posted by Clay McCoy Follow 0 Followers  on  Oct 22, 2013

Clay McCoy discusses using Groovy’s metaprogramming capabilities and AWS SWF to deal with unreliable remote services, parallelization, scheduling critical timers, and server failures.

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