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46:49

Data & Infrastructure at Airbnb

Posted by Brenden Matthews  on  Dec 31, 2013

Brenden Matthews describes the infrastructure built at Airbnb using Mesos in order to support Hadoop and Storm.

51:26

Scaling Pinterest

Posted by Yash Nelapati, Marty Weiner  on  Dec 30, 2013

Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.

25:52

DevOps Patterns to Scale Web Applications using Cloud Services

Posted by Daniel Cukier  on  Dec 29, 2013 2

Daniel Cukier shares insight in using cloud services to scale web applications, dealing with load balancing, session sharing, email, asynchronous processing, logging, monitoring, CD, RUM, etc.

38:53

Adopting Continuous Delivery: Adjusting your Architecture

Posted by Rachel Laycock  on  Dec 25, 2013

Rachel Laycock advises on designing systems for rapid deployment, avoiding delivering pitfalls by using micro services and evolutionary architecture.

48:44

API Security and Federation Patterns

Posted by Francois Lascelles  on  Dec 23, 2013

Francois Lascelles examines the role of API management infrastructure in API Security, API Access Control and API Federation and its interaction with enterprise infrastructure, social identity and application developers.

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.

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