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39:39

Growing from the Few to the Many: Scaling the Operations Organization at Facebook

Posted by Pedro Canahuati  on  Dec 16, 2013

Pedro Canahuati describes how Facebook's operations maintains their infrastructure, including challenges faced and lessons learned: prioritizing calls, managing technical debt, incident management.

43:18

From Code to Monkeys: Continuous Delivery at Netflix

Posted by Dianne Marsh  on  Dec 16, 2013 4

Dianne Marsh presents the open source tools used by Netflix to keep the continuous delivery wheels spinning.

46:05

R for Big Data

Posted by Indrajit Roy  on  Dec 15, 2013

Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.

47:52

Evolution of the Netflix API

Posted by Ben Christensen  on  Dec 11, 2013

Ben Christensen describes how the Netflix API evolved from a typical one-size-fits-all RESTful API designed to support public developers into a web service platform optimized to handle the diversity and variability of each device and user experience. The talk will also address the challenges involving operations, deployment, performance, fault-tolerance, and rate of innovation at massive scale.

38:11

REEF: Retainable Evaluator Execution Framework

Posted by Rusty Sears  on  Dec 10, 2013

Rusty Sears introduces REEF along with examples of computational frameworks, including interactive sessions, iterative graph processing, bulk synchronous computations, Hive queries, and MapReduce.

51:33

How a Small Team Scales Instagram

Posted by Mike Krieger  on  Dec 05, 2013

Mike Krieger discusses Instagram's best and worst infrastructure decisions, building and deploying scalable and extensible services.

33:33

Deploying Machine Learning and Data Science at Scale

Posted by Nick Kolegraff  on  Dec 01, 2013

Nick Kolegraff discusses common problems and architecture to support all the phases of data science and how to start a data science initiative, sharing lessons from Accenture, Best Buy, and Rackspace.

52:24

Big Data Platform as a Service at Netflix

Posted by Jeff Magnusson  on  Nov 18, 2013

Jeff Magnusson takes a deep dive into key services of Netflix’s “data platform as a service” architecture, including RESTful services that: provide comprehensive metadata management across data sources (Franklin); enable visualization and caching of results of Hadoop jobs (Sting); and visualize the execution plans produced by languages such as Pig and Hive (Lipstick).

39:26

Exercises in Style

Posted by Crista Lopes  on  Nov 13, 2013

Crista Lopes writes a program in multiple styles -monolithic/OOP/continuations/relational/Pub-Sub/Monads/AOP/Map-reduce- showing the value of using more than a style in large scale systems.

42:04

Stream Processing: Philosophy, Concepts, and Technologies

Posted by Dan Frank  on  Nov 10, 2013 1

Dan Frank discusses stream data processing and introduces NSQ – Bitly’s open source queuing system – and other new technologies used for communication between streaming programs.

01:32:51

Building a Continuous Delivery Pipeline with Gradle and Jenkins

Posted by Peter Niederwieser  on  Nov 04, 2013

Peter Niederwieser discusses building a continuous delivery pipeline with Gradle and Jenkins.

41:19

"Big Data" Agile Analytics

Posted by Ken Collier  on  Oct 27, 2013

Ken Collier discusses Agile Analytics, a combination of sophisticated analytics techniques, lean learning principles, agile delivery methods, and "big data" technologies.

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