Unconference: Navigating Major Architecture Migrations

From the same track

Session

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.

Speaker image - Nishant Lakshmikanth

Nishant Lakshmikanth

Engineering Manager @LinkedIn, Leading Infrastructure for "People You May Know" and "People Follows", Previously @AWS and @Cisco

Session

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.

Speaker image - Sonya Natanzon

Sonya Natanzon

VP of Engineering @Heartflow, Decomplexifier, Software Architect, Healthcare and Life Sciences Specialist, and International speaker

Session

Stripe’s Docdb: How Zero-Downtime Data Movement Powers Trillion-Dollar Payment Processing

Tuesday Nov 18 / 02:45PM PST

Stripe processes over $1 trillion in payments annually with industry-leading reliability, powered by its custom-built document database, DocDB, built on top of open source MongoDB. Stripe's DocDB serves over five million queries per second from Stripe’s product applications.

Speaker image - Jimmy Morzaria

Jimmy Morzaria

Staff Software Engineer @Stripe, Previously Software Engineer on Amazon QLDB and Amazon Managed Streaming for Kafka

Session

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.

Speaker image - Rajasekhar Ummadisetty

Rajasekhar Ummadisetty

Software Engineer @Netflix - Driving Scalable Data Abstractions, Leader in Distributed Systems and Data Management, Previously @Amazon and @Facebook

Speaker image - Ken Kurzweil

Ken Kurzweil

Software Engineer @Netflix - Leading a Data Movement Team Focused on Data Infrastructure Innovation, Previously @Amazon, @Shutterfly, and @Gannett Media

Session

Migrating Uber Eats Feeds to Webview

Tuesday Nov 18 / 03:55PM PST

Uber Eats has many surfaces developed using native-first design. Historically these were built on the Android and iOS stacks. To accelerate development and enable rapid iteration and experimentation, while preserving the native-first design, a webview-powered stack was developed.

Speaker image - Nick DiStefano

Nick DiStefano

Sr Staff Engineer @Uber, Previously iOS Lead @Tumblr