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When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Dynamic principal engineer at Netflix, Kasia Trapszo, expertly navigates the evolution of the company’s commerce architecture from a DVD rental service to a global streaming giant. Her insights on pragmatic adaptations to billing systems reveal invaluable lessons on agility, localization, and the complexity of modern payment landscapes.
At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows that most failures in RAG systems stem from indexing and retrieval, rather than the language model itself.
At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank has built a developer platform capable of shipping hundreds of changes to production every day.
At QCon London 2026, Ian Cooper, senior principal engineer at Just Eat Takeaway, discussed managing asynchronous APIs in production, showing how endpoint definitions can drive code generation, schema registration, and the automation of messaging infrastructure.
JP Morgan Chase engineers Luis Albinati and Surabhi Mahajan argued that multi-cloud complexity can't be solved with engineering alone. Speaking at QCon London, they showed how treating multi-cloud as a product with capability mapping, demand governance, and defined users tames the chaos.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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QCon London 2026: From DVDs to Global Streaming How Netflix’s Commerce Architecture Actually Evolved
Dynamic principal engineer at Netflix, Kasia Trapszo, expertly navigates the evolution of the company’s commerce architecture from a DVD rental service to a global streaming giant. Her insights on pragmatic adaptations to billing systems reveal invaluable lessons on agility, localization, and the complexity of modern payment landscapes.
By Daniel CurtisQCon London 2026: Reliable Retrieval for Production AI Systems
At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows that most failures in RAG systems stem from indexing and retrieval, rather than the language model itself.
By Daniel DominguezQCon London 2026: Shipping Constantly with Humans and Beyond at Monzo
At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank has built a developer platform capable of shipping hundreds of changes to production every day.
By Matt SaundersQCon London 2026: Managing Asynchronous APIs at Scale
At QCon London 2026, Ian Cooper, senior principal engineer at Just Eat Takeaway, discussed managing asynchronous APIs in production, showing how endpoint definitions can drive code generation, schema registration, and the automation of messaging infrastructure.
By Renato LosioQCon London 2026: Your Multi-Cloud Strategy Is a Product Problem — Treat It Like One
JP Morgan Chase engineers Luis Albinati and Surabhi Mahajan argued that multi-cloud complexity can't be solved with engineering alone. Speaking at QCon London, they showed how treating multi-cloud as a product with capability mapping, demand governance, and defined users tames the chaos.
By Steef-Jan Wiggers