Platform Engineering
Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery
Monday Nov 17 / 10:35AM PST
Modern AI platforms don’t have to choose between deterministic precision and probabilistic exploration—they need both.
Aaron Erickson
Senior Manager and Founder of the DGX Cloud Applied AI Lab @NVIDIA, Previously Engineer @ThoughtWorks, VP of Engineering @New Relic, CEO and Co-Founder @Orgspace
Continuous Delivery for Foundational Platforms
Monday Nov 17 / 10:35AM PST
Platform teams frequently inherit systems that were never architected for their current scale, yet are so foundational that downtime can halt the business.
Ian Nowland
CEO @Junction Labs, Author of O'Reilly's Platform Engineering, Previously SVP Core Engineering at Datadog and Leader of AWS Nitro
Confidently Automating Changes Across a Diverse Fleet
Monday Nov 17 / 11:45AM PST
Maintaining up-to-date and secure software across a polyglot fleet is a challenge for any engineering organization. Manual migrations and urgent updates disrupt productivity and require coordination across many teams.
Casey Bleifer
Senior Software Engineer @Netflix
From Staff Platform Engineer to a 16z Founder: What I Wish I'd Known
Monday Nov 17 / 11:45AM PST
The Technical Leadership Challenge: Every successful engineering team faces the same inflection point: transforming beloved internal tools into a legitimate platform business.
Gonzalo (Glo) Maldonado
CTO & Cofounder of @Mocksi.ai, Staff Platform Engineer Turned Startup Founder, Turns Developer Platforms into Products, Temporal & MCP Fanatic
Driving Innovation with a Polyglot Platform
Monday Nov 17 / 01:35PM PST
Details coming soon.
Bishwajeet Paul
Architect, Platform Engineering @JPMorgan Chase - Specializing in Solving Complex Challenges for the Developer Community
Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure
Monday Nov 17 / 02:45PM PST
In this talk, Matthew will describe lessons learned from over 20+ years of building scalable, secure and stable infrastructure platforms for software in financial services (electronic trading, credit card processing etc.), the talk is relevant to anyone building platforms for mission-critic
Matthew Liste
Head of Infrastructure @American Express, Previously @JPMorgan Chase and @Goldman Sachs
Architecting a Centralized Platform for Data Deletion at Netflix
Monday Nov 17 / 03:55PM PST
What does it take to safely delete data at Netflix scale? In large-scale systems, data deletion cuts across infrastructure, reliability, and performance complexities.
Vidhya Arvind
Tech Lead & a Founding Architect for the Data Abstraction Platform @Netflix, Previously @Box and @Verizon
Shawn Liu
Senior Software Engineer @Netflix, Building Reliable and Extensible Systems for Consumer Data Lifecycle at Scale
Enhancing Reliability Using Service-Level Prioritized Load Shedding at Netflix
Monday Nov 17 / 05:05PM PST
How does Netflix maintain a seamless viewing experience for millions of users, especially during traffic spikes or when backend datastores are overloaded? Autoscaling can help during traffic spikes, but it costs money, takes a few minutes to kick in, and capacity may not always be available.
Anirudh Mendiratta
Staff Software Engineer, Playback Lifecycle @Netflix, Previously @Amazon Prime Video and @fuboTV
Benjamin Fedorka
Staff Software Engineer, Productivity Engineering @Netflix
From VR to Flat Screens: Bridging the Input and Immersion Gap
Tuesday Nov 18 / 01:35PM PST
Expanding the market of your VR game to other platforms may seem like an easy way to increase your revenues but the journey is all but simple. When what makes your game unique is the presence and immersion it provides, reproducing the experience on a flat screen is a daunting task.
Dany Lepage
VP of Technology @Lucky VR - Building Virtual Vegas, xUbisoft, xFramestore, xNvidia
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