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51:46

Winston: Helping Netflix Engineers Sleep at Night

Posted by Sayli Karmarkar  on  Feb 22, 2017 2 Posted by Sayli Karmarkar  on  Feb 22, 2017 2

Sayli Karmarkar discusses Winston, a monitoring and remediation platform built for Netflix engineers.

39:58

Incident Management at the Edge

Posted by Lisa Phillips  on  Feb 21, 2017 Posted by Lisa Phillips  on  Feb 21, 2017

Lisa Phillips discusses the typical struggles a company runs into when building around-the-clock incident operations and the things Fastly has put in place to make dealing with incidents easier.

40:48

Data Science in the Cloud @StitchFix

Posted by Stefan Krawczyk  on  Feb 17, 2017 Posted by Stefan Krawczyk  on  Feb 17, 2017

Stefan Krawczyk discusses how StitchFix used the cloud to enable over 80 data scientists to be productive and have easy access, covering prototyping, algorithms used, keeping schema in sync, etc.

45:26

Petabytes Scale Analytics Infrastructure @Netflix

Posted by Tom Gianos  on  Feb 15, 2017 Posted by Tom Gianos Dan Weeks  on  Feb 15, 2017

Tom Gianos and Dan Weeks discuss Netflix' overall big data platform architecture, focusing on Storage and Orchestration, and how they use Parquet on AWS S3 as their data warehouse storage layer.

24:41

Automatic Discovery of Service Metadata for Systems at Scale

Posted by Martina Iglesias Fernández  on  Feb 12, 2017 Posted by Martina Iglesias Fernández  on  Feb 12, 2017

Martina Iglesias Fernández discusses Spotify’s approach to documentation through automatic discovery of existing endpoints, service configuration, and deployment information at runtime.

44:06

Scaling the Data Infrastructure @Spotify

Posted by Mārtiņš Kalvāns  on  Jan 28, 2017 Posted by Mārtiņš Kalvāns Matti Pehrs  on  Jan 28, 2017

Mārtiņš Kalvāns and Matti Pehrs overview the Data Infrastructure at Spotify, diving into some of the data infrastructure components, such us Event Delivery, Datamon and Styx.

27:42

Spring Data Hazelcast: Fluently Accessing Distributed Repositories

Posted by Victor Gamov  on  Jan 26, 2017 Posted by Victor Gamov Neil Stevenson  on  Jan 26, 2017

Victor Gamov and Neil Stevenson present using Spring Data for a Hazelcast project, built on the KeyValue module and providing infrastructure components for creating repository abstractions.

01:04:45

How We Work Remotely at Particular Software

Posted by Donald Belcham  on  Jan 24, 2017 1 Posted by Donald Belcham  on  Jan 24, 2017 1

Don Belcham shares from his experience working for a company where everybody works remotely, what they do about meetings, how collaboration works, and how it compares with a regular company.

50:21

Scaling Counting Infrastructure @Quora

Posted by Chun-Ho Hung  on  Jan 22, 2017 Posted by Chun-Ho Hung Nikhil Garg  on  Jan 22, 2017

Chun-Ho Hung and Nikhil Garg discuss Quanta, Quora's counting system powering their high-volume near-real-time analytics, describing the architecture, design goals, constraints, and choices made.

44:50

Kanban Metrics in Practice

Posted by Mattia Battiston  on  Jan 17, 2017 Posted by Mattia Battiston  on  Jan 17, 2017

Mattia Battiston shares from his experience at Sky Network: what metrics they use, how they use them, what pitfalls they encountered and what little data they collect to get a whole lot of value.

50:13

Scaling Quality on Quora Using Machine Learning

Posted by Nikhil Garg  on  Jan 15, 2017 Posted by Nikhil Garg  on  Jan 15, 2017

Nikhil Garg talks about the various Machine Learning problems that are important for Quora to solve in order to keep the quality high at such a massive scale.

42:06

Iterative Design for Data Science Projects

Posted by Bo Peng  on  Jan 15, 2017 Posted by Bo Peng  on  Jan 15, 2017

Bo Peng goes over how Datascope iterated on the major pieces of the Expert Finder application project to produce actionable insights and recommendations on methodologies.

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