InfoQ Homepage Companies Content on InfoQ
-
Deep Learning @Google Scale: Smart Reply in Inbox
Anjuli Kannan describes the algorithmic, scaling, deployment considerations involved in a an application of cutting-edge deep learning in a user-facing product: the Smart Reply feature of Google Inbox
/presentations/google-smart-reply/en/mediumimage/anujan-medium-1507029761562.jpg)
-
API Design Lessons Learned: Enterprise to Startup
Mohamed El-Geish explores lessons learned at big companies like Microsoft and LinkedIn, and adapts the insights drawn from them to fit a fast-growing startup.
/presentations/startup-microsoft-linkedin/en/mediumimage/Mobig-1506560748821.JPG)
-
Zero to Production-Ready in Minutes
Tim Bozarth shares how Netflix is enabling engineers to go from "zero" to "production ready" in minutes - incorporating best-practices learned through years in the cloud.
/presentations/netflix-deployment-practices/en/mediumimage/Timbig.JPG)
-
Choose Your Own Adventure: Chaos Engineering
Nora Jones talks about different experiences on "Chaos Adventures" including both successes and failures introducing Chaos in an organization.
/presentations/adopt-chaos-engineering/en/mediumimage/Norabig.JPG)
-
C# 7, 8 and beyond: Language Features from Design to Release to IDE Support
Kevin Pilch tours C# 7, highlighting new features -pattern matching, tuples, local functions and more-, sharing insights into the language design process, and discussing potential features for C# 8.
/presentations/csharp-7-8-language-features/en/mediumimage/Kevbig.JPG)
-
Scaling Event Sourcing for Netflix Downloads
Phillipa Avery and Robert Reta describe how Netflix successfully launched their Download feature with the use of a Cassandra-backed event sourcing architecture, describing the event store implemented
/presentations/netflix-scale-event-sourcing/en/mediumimage/Doibig.JPG)
-
The Paved PaaS to Microservices at Netflix
Yunong Xiao discusses how Netflix standardizes common functionality like service discovery, configuration, metrics, logging, and RPC, across services.
/presentations/netflix-paas-microservices/en/mediumimage/Yunbig.JPG)
-
What Google Learned about Creating Effective Teams
Matt Sakaguchi talks about some of the practical research Google has done around building effective teams, along with key insights from the Pilot program at Google.
/presentations/google-effective-teams-2017/en/mediumimage/Matbig.JPG)
-
A Series of Unfortunate Container Events @Netflix
Amit Joshi and Andrew Spyker talk about Project Titus, Netflix's container runtime on top of Amazon EC2.
/presentations/netflix-titus/en/mediumimage/DOibig.jpg)
-
Streaming for Personalization Datasets at Netflix
Shriya Arora discusses challenges faced with stream processing unbounded datasets, comparing microbatch with event-based approaches using Spark and Flink.
/presentations/netflix-personalization-datasets-streaming/en/mediumimage/Shrbig.JPG)
-
Refactoring Organizations - A Netflix Study
Josh Evans uses Netflix as a case study to illustrate how specific strategies, framed as technical analogs, have been employed to maximize engineering agility, velocity, and impact.
/presentations/netflix-refactor-organizations/en/mediumimage/Jobig.JPG)
-
BLESS: Better Security and Ops for SSH Access
Bryan Payne talks about BLESS in general: what it is, how it works, and how we can start using it. He explores the Netflix BLESS production architecture and how other companies have used BLESS.
/presentations/bless-security-ops-ssh/en/mediumimage/Brybig.JPG)