Architecture
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
How to Build an Exchange: Sub Millisecond Response Times and 24/7 Uptimes in the Cloud
Monday Nov 17 / 10:35AM PST
These days it is possible to achieve fairly good performance on cloud provisioned systems. We discuss the design of a high performance, strongly consistent system which maintains constant service in the face of regular updates to core logic.
Frank Yu
Director of Engineering @Coinbase, Previously Principal Engineer and Director @FairX
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
Compiling Workflows into Databases: The Architecture That Shouldn't Work (But Does)
Monday Nov 17 / 11:45AM PST
What if everything you know about building distributed systems is backwards?
Jeremy Edberg
CEO of DBOS, Creator of Chaos Engineering, Tech Editor for 'AWS for Dummies'; Previously Founding Reliability Engineer @Netflix, and First Engineer @Reddit
Qian Li
Co-founder, Architect @DBOS, Stanford CS Ph.D., Co-organizer of South Bay Systems
Parting the Clouds: The Rise of Disaggregated Systems
Monday Nov 17 / 01:35PM PST
Cloud systems are undergoing an architectural shift. Traditional shared-nothing designs struggle to deliver the elasticity, availability, and operational simplicity that the cloud demands.
Murat Demirbas
Principal Research Scientist @MongoDB Research, Previously Principal Applied Scientist @AWS and a Professor of Computer Science at the University at Buffalo (SUNY)
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
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
Monolith Down: Cleaning Up After the Great Identity Migration Disaster
Tuesday Nov 18 / 10:35AM PST
One does not simply migrate a monolith. Imagine a team working on a monolith-to-microservices migration of a healthcare portal. A foundational first step - migrating to a commercial identity provider - takes 9 months, only to bring the entire portal crashing down on release day.
Sonya Natanzon
VP of Engineering @Heartflow, Decomplexifier, Software Architect, Healthcare and Life Sciences Specialist, and International speaker
Modernizing Relevance at Scale: LinkedIn’s Migration Journey to Serve Billions of Users
Tuesday Nov 18 / 11:45AM PST
How do you deliver relevant and personalized recommendations to nearly a billion professionals—instantly, reliably, and at scale? At LinkedIn, the answer has been a multi-year journey of architectural reinvention.
Nishant Lakshmikanth
Engineering Manager @LinkedIn, Leading Infrastructure for "People You May Know" and "People Follows", Previously @AWS and @Cisco
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