You are viewing content from a past/completed QCon -


Extreme Programming Meets Realtime Data

At Unruly, we're fast and furious both in terms of the volumes we're handling and in our development process. Scaling incrementally has raised some interesting challenges in how to deal with growing data volumes, and by trying to deliver value in small steps, we've ended up with some unconventional solutions. We'll talk about scaling problems we've encountered, and where extreme programming values led us.


Tom Johnson

Software Engineer @UnrulyCo

Tom is a senior software developer at Unruly (an ad tech company), and previously worked at LMAX: both companies as well-known for their agile/xp process as their technical credentials. Tom is a born-again software developer - having gone back to university to study computer science in later...

Read more


Gel Goldsby

Reporting and Data Team Lead @Unruly

Gel is the Reporting and Data Team Lead at Unruly, an agile Ad Tech company. She works magic on the various pipelines and databases to enable them to handle even more high frequency, low latency data. She fervently believes pink hair makes data go faster. Gel is a big advocate of all things...

Read more

From the same track

SESSION + Live Q&A Ad Serving

Achieving High Load in Advertising Technology

High Load consists of three factors: Latency - The Speed of an individual request, business transaction or event Throughput - The Scale required to process a number business transactions per time period a.k.a TPS Availability - The system 99.XXX% availability 24/7/365 AdTech is the...

Peter Milne

Technology Architect @Adform

SESSION + Live Q&A Machine Learning

Policing The Stock Market with Machine Learning

Neurensic has built a solution, SCORE, for doing Trade Surveillance using H2O (an open-source pure Java Big Data ML tool), Machine Learning, and a whole lot of domain expertise and data munging. SCORE pulls in private and public market data and in a few minutes will search it for all sorts of bad...

Cliff Click

CTO @Neurensic

SESSION + Live Q&A Ad Serving

The Move to AI: From HFT to Laplace Demon

The race for low latency data continues. 10 years ago, Flashboys were helping HFT make money with low-latency infrastructures. Today, hedge funds build AI brains pumping hundreds of sources of data in real-time, seeking ubiquity to build Laplace Demons.

Eric Horesnyi


Albert Bifet

Associate Professor @Telecom ParisTech

SESSION + Live Q&A Machine Learning

Predictability In ML Applications

In the context of building predictive models, predictability is usually considered a blessing. After all – that is the goal: build the model that has the highest predictive performance. The rise of ‘big data’ has in fact vastly improved our ability to predict human behavior thanks to the...

Claudia Perlich

Chief Scientist at Dstillery

SESSION + Live Q&A Ad Serving

Ad Serving & Finance Open Space

View full Schedule