InfoQ Homepage Companies Content on InfoQ
-
Practical Machine Learning
Seth Juarez introduces the nuML machine learning library, addressing the clustering issue in .NET applications by focusing on recommendation engines and anomaly detection.
/presentations/numl/en/mediumimage/Sethbig.jpg)
-
Machine Learning at Netflix Scale
Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
/presentations/machine-learning-netflix-2014/en/mediumimage/Aishbig.jpg)
-
The Secrets of LINQ: The Modern Day Houdini
Brian Korzynski unveils the secrets on LINQ, how it works and the constructs it uses, covering Funcs, Actions, lambdas, and expressions.
/presentations/linq-secrets/en/mediumimage/Brianbig.jpg)
-
How Netflix Leverages Multiple Regions to Increase Availability: An Active-Active Case Study
Ruslan Meshenberg discusses Netflix's challenges, operational tools and best practices needed to provide high availability through multiple regions.
/presentations/netflix-availability-regions/en/mediumimage/Ruslanbig.jpg)
-
Graph Search: The Power of Connected Data
Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.
/presentations/graph-search-connected-data/en/mediumimage/Ianbig.jpg)
-
How Shutl Delivers Even Faster Using Neo4J
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
/presentations/shutl-neo4j-graph-db/en/mediumimage/Sambig.jpg)
-
Engineering Velocity: Shifting the Curve at Netflix
Dianne Marsh describes how Netflix' tooling, especially the continuous delivery system, allows developers to push the button for production deployment, and helps them to recover if necessary.
/presentations/netflix-velocity-tools-culture/en/mediumimage/Diannebig.jpg)
-
End to End Reactive Programming at Netflix
In this talk Jafar Husain and Matthew Podwysocki explore the Reactive Extensions (Rx) library which allows to treat events as collections. Also: how Netflix uses Rx on the client and the server.
/presentations/netflix-rx-extensions/en/mediumimage/Matbig.jpg)
-
Introduction to Google Dart
Chad Adams introduces Dart: Dart Editor, Dartium, and generating JavaScript with Dart2JS.
/presentations/google-dart-intro/en/mediumimage/Chadbig.jpg)
-
Using Docker in Cloud Networks
Chris Swan takes a look at Docker: what it is, why it was chosen, how it became an established platform, and what it takes to package applications and application infrastructure for use with Docker.
/presentations/docket-cloud-networks/en/mediumimage/Chrisbig.jpg)
-
Canary Analyze All The Things: How We Learned to Keep Calm and Release Often
Roy Rapoport discusses canary analysis deployment and observability patterns he believes that are generally useful, and talks about the difference between manual and automated canary analysis.
/presentations/canary-analysis-deployment-pattern/en/mediumimage/Roybig.jpg)
-
How We Built a Cloud Platform Using Netflix OSS
Carl Quinn explains how Riot Games built a cloud platform based on the Netflix OSS stack plus a number of other extensions including Dropwizard, Eureka, Archaius, Asgard, Edda, etc.
/presentations/netflix-oss-cloud-platform/en/mediumimage/Carlbig.jpg)