Presentations

• Posted by Sebastian Stadil  on  Jan 16, 2014
  Architecting Organizations for the Cloud

  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.

  Sebastian Stadil

  on  Jan 16, 2014

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  42:26
• Posted by Anil Madhavapeddy  on  Jan 14, 2014
  My Other Internet is a Mirage

  Anil Madhavapeddy suggests a different approach to building Internet services avoiding the complexity of today's services which incorporate many policies and security mechanisms.

  Anil Madhavapeddy

  on  Jan 14, 2014

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  53:16
• Posted by Brenden Matthews  on  Dec 31, 2013
  Data & Infrastructure at Airbnb

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

  Brenden Matthews

  on  Dec 31, 2013

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  46:49
• Posted by Yash Nelapati  on  Dec 30, 2013
  Scaling Pinterest

  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.

  Yash Nelapati Marty Weiner

  on  Dec 30, 2013

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  51:26
• Posted by Daniel Cukier  on  Dec 29, 2013
  DevOps Patterns to Scale Web Applications using Cloud Services

  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.

  Daniel Cukier

  on  Dec 29, 2013

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  25:52
• Posted by Rachel Laycock  on  Dec 25, 2013
  Adopting Continuous Delivery: Adjusting your Architecture

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

  Rachel Laycock

  on  Dec 25, 2013

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  38:53
• Posted by Clayton Bauman  on  Dec 17, 2013
  Babel: An Untyped, Stack-based HLL

  Clayton Bauman introduces Babel, an open source language implemented in C, targeted for cloud computing. Other features: interpreted, untyped stack-based, postfix, supports arrays, lists and hashes.

  Clayton Bauman

  on  Dec 17, 2013

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  33:58
• Posted by Dianne Marsh  on  Dec 16, 2013
  From Code to Monkeys: Continuous Delivery at Netflix

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

  Dianne Marsh

  on  Dec 16, 2013

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  43:18
• Posted by Ben Christensen  on  Dec 11, 2013
  Evolution of the Netflix API

  Ben Christensen describes Netflix API's evolution to a web service platform serving all devices and users, the challenges met in operations, deployment, performance, fault-tolerance, and innovation.

  Ben Christensen

  on  Dec 11, 2013

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  47:52
• Posted by Jim Driscoll  on  Dec 08, 2013
  Programming in the Cloud - Groovy as an Extension Language for Oracle ADFm

  Jim Driscoll discusses using ADFm to create and change Groovy scripts at runtime and debugging a live system with JWDP.

  Jim Driscoll

  on  Dec 08, 2013

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  56:15
• Posted by Jeremy Edberg  on  Nov 29, 2013
  How Netflix Architects for Survival

  Jeremy Edberg discusses how Netflix designs their systems in order to survive outages, network latency and random instance failure.

  Jeremy Edberg

  on  Nov 29, 2013

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  49:18
• Posted by Jeff Magnusson  on  Nov 18, 2013
  Big Data Platform as a Service at Netflix

  Jeff Magnusson details some of Netflix' key services: Franklin, Sting and Lipstick.

  Jeff Magnusson

  on  Nov 18, 2013

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  52:24