Michael Barker, Lead developer at London Multi-Asset eXchange (LMAX)

Michael Barker is currently a lead developer at London Multi-Asset eXchange (LMAX) where he spends most of his time scratching his head while thinking about simpler and faster solutions.

Intermingled with travelling to various countries around the world, Michael's 10+ years of experience has been spent battling unnecessary complexity across a variety of industries (finance, telecoms, government) and in whatever technology that happens to have been hurled in his direction (Java/JavaEE, C++, .NET). Michael is also a sporadic Open Source contributor having dropped patches into a number of OSS projects including PostgreSQL, JBoss, GNU Classpath and most recently Mono.

Presentation: "LMAX - How to do over 100K concurrent transactions per second at less than 1ms latency"

Track: Architecture Anarchists

Time: Thursday 16:50 - 17:50

Location: Franciscan I & II

Abstract:

"Conventional wisdom says that memory is fast, disk is slow, networks are slower and that fast systems must be highly concurrent to achieve maximum performance. Much of this is outdated and some of it is now wrong. Modern hardware is phenomenally fast, but we have become complacent and use it in extremely inefficient and inappropriate ways.

For world class performance on commodity hardware you need to take a holistic approach to software design. The good news is that all the stuff we learned in computer science 101 is what really matters, choose your data structures carefully, model your domain, understand your platform, work hard to have a clear separation of concerns, but as well as all of that, run your business logic on a single thread!?

Martin Thompson and Mike Barker work for the London Multi-Asset Exchange (LMAX) and are building one of the world's fastest trading platforms using a radical new architecture that takes it all back to basics. This session will describe some of the challenges faced when developing the worlds fastest financial exchange - little things like how to do over 100K/tps at less than 1ms latency yet still have full HA support in a distributed environment."