architecture
Chronon - Mixed-Workload Data Processing Framework
Tuesday Mar 17 / 02:45PM GMT
Chronon is a data processing framework open-sourced by Airbnb. It is adopted across organizations like Stripe, Netflix, OpenAI, and Uber. Chronon was originally built for ML applications.
Nikhil Simha
Co-Founder & CTO @zipline.ai, Author of "Chronon Feature Platform", Previously @Airbnb, @Meta, and @Walmartlabs
One-to-Many Products, One-to-Many Countries: Scaling Nubank to 127 Million Customers
Monday Mar 16 / 02:45PM GMT
Cloud-native tooling and platform engineering promise everything we need to run software at scale: public clouds, infrastructure as code, developer tooling, and well-understood deployment and scaling models that abstract away complexity.
Laís Oliveira
Principal Engineer and Platform Engineering Architecture @Nubank
Evolving Wise Architecture to Power a Global Account
Monday Mar 16 / 01:35PM GMT
We all strive for loosely coupled and highly cohesive systems, yet as products scale, it is not uncommon for architecture to drift towards a “distributed big ball of mud” where a single change requires cascading changes across multiple services.
Andrei Tognolo
Staff Engineer @Wise, 19+ Years in Software Engineering, Previously Senior Consultant @ThoughtWorks
Behind Booking.com's AI Evolution: The Unpolished Story
Monday Mar 16 / 11:45AM GMT
It’s easy to look at a mature AI platform and imagine a grand blueprint. Ours began with none. What started as a few data scientists hacking on Perl scripts and Mysql queries has grown into an AI platform that impacts millions of travel decisions every day.
Jabez Eliezer Manuel
Principal Engineer @Booking.com - Building Next-Gen AI Platform
Uncorking Queueing Bottlenecks with OpenTelemetry
Monday Mar 16 / 11:45AM GMT
Queues are the backbone of scalable, asynchronous systems, but they can easily create a tangled web of complexity. When things slow down, the bottleneck could be anywhere, from producer lag to consumer exhaustion, and standard metrics often fail to show the full picture.
Julian Wreford
Team Lead of Operability Team @Gearset, Software Engineer Turned Accidental SRE
Oli Lane
Engineering Team Lead @Gearset, Focusing on Engineering Culture, Observability, and Platform Reliability
Managing Asynchronous APIs at Scale
Monday Mar 16 / 05:05PM GMT
When event-driven architectures are small, teams can reason about events through word-of-mouth. They know who publishes what, who consumes it, and how messages flow through the system. Teams manage their own infrastructure or raise tickets to request changes.
Ian Cooper
Senior Principal Engineer @Just Eat Takeaway
Understanding Progressive Collapse: How To Avoid A Cascading Failure
Wednesday Mar 18 / 01:35PM GMT
Small things going wrong can quickly snowball. The cascading failure is often a nightmare scenario for any system. An initial problem, which in isolation seems like such a minor problem, can kick off a chain reaction of ever-increasing failures, potentially leading to catastrophic results.
Sam Newman
Microservice, Cloud, CI/CD Expert, Author of "Building Microservices" and "Monolith to Microservices", 20+ Years Experience as a Developer
Team Topologies as the 'Infrastructure for Agency' with AI
Tuesday Mar 17 / 10:35AM GMT
The book Team Topologies Second Edition (2025) demonstrates convincingly that organizing business and technology for fast flow of value via empowered teams produces outsized results for enterprises worldwide.
Matthew Skelton
CEO & Principal @Conflux, Co-Author of "Team Topologies", Leader in Modern Organizational Dynamics for Fast Flow
Not Just I/O: Using Async/Await for Computational Scheduling
Wednesday Mar 18 / 01:35PM GMT
In the past two years I have developed a new query execution engine for Polars, which not only tries to execute as much of your query in parallel as possible, but in a streaming fashion as well, such that you can process data sets which do not fit in memory.
Orson Peters
Senior Engineer of Query Execution @Polars, (Co-)Author of Stdlib Sort in Rust & Go
Move Fast, Don’t Break Trust: Shipping Constantly with Humans and Beyond
Monday Mar 16 / 03:55PM GMT
Moving fast only works if your systems are engineered with trust and verification in mind. In this talk, we showcase how teams can scale to the point where shipping hundreds of changes a day becomes boring, routine, and safe.
Suhail Patel
Senior Staff Engineer @Monzo Leading the Platform and Data Functions, Previously @Citymapper