Scalability

Past Presentations

Deep Learning @Google Scale: Smart Reply in Inbox

Anjuli will describe the algorithmic, scaling and deployment considerations involved in an extremely prominent application of cutting-edge deep learning in a user-facing product: the Smart Reply feature of Google Inbox.

Anjuli Kannan Software Engineer @GoogleBrain
Low Latency Trading Architecture at LMAX Exchange

Building a financial exchange like the one that LMAX Exchange operates presents a unique challenge. Our customers trade over $2 trillion a year through our platform, while demanding low and predictable latency with ever increasing volumes of transactions. In this talk we will present an overview...

Sam Adams Head of Software Engineering @LMAX Exchange
Scaling Instagram Infrastructure

Instagram is a social network mobile app that allows people to share the world's moments as they happen. It serves 300 millions users on a daily basis throughout the world. In this talk, we will give an overview on the infrastructure that supports its users on this large scale. Topics will...

Lisa Guo Software Engineer @Instagram
DSSTNE: Deep Learning at Scale

DSSTNE (Deep Sparse Scalable Tensor Network Engine) is a deep learning framework for working with large sparse data sets. It arose out of research into the use of deep learning for product recommendations after we realized existing frameworks were limited to a single GPU or data-parallel scaling...

Scott Le Grand Deep Learning Engineer @Teza (ex-Amazon, ex-NVidia)
Dev Ops @ Scale

Remember the times when one server was enough? And a guy named “sysadmin” was babysitting it along with his other duties of installing MS Office for everybody? For better or for worse, those times are long gone. Today, companies manage tens of thousands of servers and perform thousands of...

Baruch Sadogursky Developer Advocate @JFrog
Web Components @ Scale

Huge applications consume a lot of time to develop and prepare for the development environment. After a while technology changes, new frameworks arrives, and application requirements changes. Going back to the development phase can be painful. During this presentation, we'll be discussing web...

Pawel Psztyc Office of the CTO @MuleSoft

Interviews

Sachin Kulkarni Engineering Director @Facebook focused on Live, Videos, and Messenger

Scaling Facebook Live Videos to a Billion Users

QCon: What is your role at Facebook today, and what are the types of problems you’re focused on?

I’m currently working on the backend for Facebook Live, Facebook Video, and Facebook Messenger. Most recently. I’ve been spending a lot of time on scaling the Facebook Live stack. Facebook Live let’s anybody broadcast across the world using just the camera in their pocket. What this means (in real terms) is the backend has to be...

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Lisa Guo Software Engineer @Instagram

Scaling Instagram Infrastructure

QCon: What are the main problems you are focused on today?

Lisa: I am a software engineer on the Instagram Infrastructure Team. Our team’s main purpose is to keep the scalability of our systems up. While doing that, we identify both short term and long term fixes around scale. Additionally, we work closely with many other teams on the product side to help them to identify bottlenecks and...

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Luca Mezzalira Principal Solutions Architect @AWS

Lessons From DAZN: Scaling Your Project with Micro-Frontends

What work are you doing today?

I'm VP of Architecture at a company called DAZN. It's similar to Netflix but for live sports mainly and video-on-demand. It's a platform dedicated to sports. We are available in nine countries and we have a ton of devices that we are targeting between consoles, TVs, set top boxes, web browsers and mobile. I had the...

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