Architecture
Accelerating Netflix Data: A Cross-Team Journey from Offline to Online
Tuesday Nov 18 / 05:05PM PST
At Netflix, certain use cases demand the rapid transfer of massive datasets—such as 50 TB—from offline to online systems. Doing this efficiently, without disrupting applications interacting with our online systems, presents a significant challenge.
Rajasekhar Ummadisetty
Software Engineer @Netflix - Driving Scalable Data Abstractions, Leader in Distributed Systems and Data Management, Previously @Amazon and @Facebook
Ken Kurzweil
Software Engineer @Netflix - Leading a Data Movement Team Focused on Data Infrastructure Innovation, Previously @Amazon, @Shutterfly, and @Gannett Media
From ms to µs: OSS Valkey Architecture Patterns for Modern AI
Wednesday Nov 19 / 02:45PM PST
As AI applications demand faster and more intelligent data access, traditional caching strategies are hitting performance and reliability limits.
Dumanshu Goyal
Uber Technical Lead @Airbnb Powering $11B Transactions, Formerly @Google and @AWS
Write-Ahead Intent Log: A Foundation for Efficient CDC at Scale
Wednesday Nov 19 / 03:55PM PST
As companies grow, so does the complexity of keeping distributed systems in sync. At DoorDash, we tackled this challenge while building a high-throughput, domain-oriented data platform for capturing changes across hundreds of services.
Vinay Chella
Engineering Leader @DoorDash - Specializing in Distributed Systems, Streaming & Storage Platforms, Apache Cassandra Committer, Previously Engineering Leader @Netflix
Akshat Goel
Staff Software Engineer, Core Infra at @DoorDash, Previously Senior Software Engineer @Amazon