38:12
Avoiding React Performance Pitfalls
Alex Grigoryan discusses the performance problems found and their solutions moving from Backbone/Java to React/Node.js at @WalmartLabs.
40:57
IoT for Big Machines
Jayant Thomas discusses Predix, GE’s IoT Cloud, and how one can use anomaly detection on an IoT cloud and scale it up for multiple industrial assets to provide insights about the big machines.
48:33
Migrating Speedment to Java 9
Dan Lawesson talks about his experience migrating Speedment to Java 9.
33:00
Managing Thousands of Data Services @Heroku
Gabriel Enslein discusses the evolution of fleet orchestration, immutable infrastructure, security auditing for managing data services for many Salesforce customers.
38:50
Large Scale Machine Learning for Payment Fraud Prevention
Venkatesh Ramanathan presents how advanced machine learning algorithms such as Deep Learning and Gradient Boosting are applied at PayPal for fraud prevention.
37:02
Portfolio Planning and Prioritization at Scale
Jasper Sonnevelt discusses how to do portfolio planning and prioritization at scale, elaborating on practices developed at one of the largest banks in Netherlands.
42:11
Building Microservices @Squarespace
Franklin Angulo discusses SquareSpace's journey from a monolith architecture to microservices including lessons learned, frameworks and OSS projects used, integration points with service discovery.
39:46
AI as a Service at Scale: Retail Case Study
Eldar Sadikov discusses emerging applications of AI in retail, illustrating how Jetlore's machine learning rank technology is currently utilized to power millions of consumer experiences every day.
52:08
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.
53:33
Survival of the Fittest - Streaming Architectures
Michael Hansen talks about the core principles that will stand the tests of streaming evolution, the potential pitfalls that we may stumble over on our path to streaming and how to avoid these.
41:46
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.
51:56
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.
