BT

New Early adopter or innovator? InfoQ has been working on some new features for you. Learn more

Older rss
47:03

Real-Time Recommendations Using Spark Streaming

Posted by Elliot Chow  on  Mar 30, 2017 Posted by Elliot Chow  on  Mar 30, 2017

Elliot Chow discusses the data pipeline that they built with Kafka, Spark Streaming, and Cassandra to process Netflix user activities in real time for the Trending Now row.

47:47

Automating Chaos Experiments in Production

Posted by Ali Basiri  on  Mar 15, 2017 Posted by Ali Basiri  on  Mar 15, 2017

Ali Basiri discusses the motivation behind ChAP (Chaos Automation Platform), how they implemented it, and how Netflix service teams are using it to identify systemic weaknesses.

48:04

Applying Failure Testing Research @Netflix

Posted by Kolton Andrus  on  Mar 07, 2017 Posted by Kolton Andrus Peter Alvaro  on  Mar 07, 2017

Kolton Andrus and Peter Alvaro present how a “big idea” -- lineage-driven fault injection -- evolved from a theoretical model into an automated failure testing service at Netflix.

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.

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.

32:14

Real World Microservices with Spring Cloud, Netflix OSS and Kubernetes

Posted by Christian Posta  on  Jan 19, 2017 Posted by Christian Posta  on  Jan 19, 2017

Christian Posta explains building microservices with Spring, Spring Cloud, and Netflix OSS and running them on Docker and Kubernetes.

45:06

Elastic Efficient Execution of Varied Containers

Posted by Sharma Podila  on  Jan 07, 2017 Posted by Sharma Podila  on  Jan 07, 2017

Sharma Podila reviews the state of containers usage in Netflix, discussing projects Titus and Mantis, AWS integration, and using Fenzo to run an elastic infrastructure for a varied mix of workloads.

47:36

Putting a SpEL on Spinnaker: Evolving an Expression Language for Continuous Delivery at Netflix

Posted by Tomas Lin  on  Jan 04, 2017 Posted by Tomas Lin  on  Jan 04, 2017

Tomas Lin discusses Spinnaker and SpEL, an open source, multi-cloud continuous delivery platform that is used by over 90% of cloud deployments at Netflix.

01:08:02

Moving from Monolithic Architecture to Spring Cloud and Microservices

Posted by Travis Cherry  on  Dec 25, 2016 1 Posted by Travis Cherry Mary Ann Wayer  on  Dec 25, 2016 1

Travis Cherry and Mary Ann Wayer discuss monolithic architectural patterns, JBoss apps, lessons learned moving to Spring MVC SPA, then microservices with Spring Boot, Netflix OSS and Spring Cloud.

50:00

Intuition Engineering

Posted by Casey Rosenthal  on  Dec 17, 2016 Posted by Casey Rosenthal  on  Dec 17, 2016

Casey Rosenthal talks about a new discipline called Intuition Engineering and Vizceral, a tool they built at Neflix to process massive amounts of visual data in parallel.

40:36

Stranger Things: The Forces that Disrupt Netflix

Posted by Haley Tucker  on  Dec 15, 2016 Posted by Haley Tucker  on  Dec 15, 2016

Haley Tucker discusses how other systems may affect Netflix' services, strategies to protect their systems and make sure they won't fail even if things go wrong.

53:13

Mastering Chaos - A Netflix Guide to Microservices

Posted by Josh Evans  on  Dec 07, 2016 Posted by Josh Evans  on  Dec 07, 2016

Josh Evans talks about the chaotic and vibrant world of microservices at Netflix, exploring the cultural, architectural, and operational methods that lead to microservice mastery.

BT