Silicon Valley

Past Presentations

From Concurrent to Parallel

As core counts continue to increase, how we exploit hardware parallelism in practice shifts from concurrency — using more cores to handle more user requests — to parallelism — using more cores to solve data-intensive problems faster. This talk will explore the different goals, tools, and...

Brian Goetz Java Language Architect @Oracle
Java at Speed

Getting the most of your Java applications can be an interesting challenge. Understanding some of the optimizations the latest crop of JVMs are able to apply when running on the latest servers may help with that. This talk will discuss some of those features and optimizations. Along with...

Gil Tene CTO and co-founder @AzulSystems
Securing Services Using SSO

As BuzzFeed transitioned to microservices it needed to secure a growing number of internal tools. Our first solution was an open source auth service deployed in front of each app, but this approach had a number of scaling issues. The talk will discuss sso, our open-source, homegrown, centralized...

Shraya Ramani Software Engineer @BuzzFeed
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
Parallelizing Product Development with GraphQL

In this talk we will cover how to drive API development forward with the data model as the source of truth using the GraphQL Schema Definition Language. In typical REST approaches, UI development is often blocked on APIs and API development is hampered by not knowing how clients are using the...

Chris Biscardi Product Engineer @Honeycomb
Building and Scaling a High-Performance Culture

As the research in Accelerate and in the DevOps Handbook shows, high-performing organizations deliver more rapidly, more repeatably, and more reliably. And far more important than any tool or technology, it is the culture that differentiates a nimble and innovative organization from a lumbering...

Randy Shoup VP Engineering @WeWork

Interviews

Sarah Aerni Director, Data Science @Salesforce Einstein

Models in Minutes not Months: AI as Microservices

I cannot go to any Data Conference and not hear about the Einstein Platform. Why?

Salesforce is democratizing AI with Einstein. Any company and any business user should be able to use AI, regardless of size.

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Colin Breck Sr. Staff Software Engineer @Tesla

What Lies Between: The Challenge of Operationalising Microservices

What is the work you’re doing today?

I build and operate software platforms for monitoring, aggregating, optimizing, and controlling renewable-energy assets, including energy production, battery storage, grid services, and electric-vehicle charging. These platforms leverage microservices and reactive-systems principles. I am most focused on mentoring and growing teams,...

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Sherin Thomas Senior Software Engineer @Lyft

Machine Learning Through Streaming at Lyft

What is the work you are doing today?

I work for a ride sharing company called Lyft. Our mission is to improve people's lives through the world's best transportation. For the last two and a half years, I have been working on the streaming platform team. In the ride sharing world, it is imperative to build the most recent state of the world and take decisions based...

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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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Danielle Leong Engineer on GitHub's Community and Safety Team

Consensual Software: Prioritizing Trust & Safety

What makes trust and safety important?

Trust and safety is about keeping users safe. Online harassment is unfortunately a reality. When you are part of a community and online space you should be able to connect with one another and work together safe and be productive. My team at Github builds community management tools and features to discourage destructive behavior.

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Elaine Ou Security Engineer @GlobalFinancialAccess & Co-Creator of Sand Hill Exchange

Blockchain Introduction: Peering Through the Hype

QCon: What are smart contracts?

We use smart contracts as computer executable code that performs the tasks and provisions that would be described in a real world legal contract. The intention is that it runs in an auditable place to ensure the integrity of this software contract.

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