Silicon Valley

Past Presentations

“Quantum” Performance Effects: Beyond The Core

CPU microarchitecture is hidden from developers by compilers, virtual machines, etc. Should developers know everything about CPU microarchitecture? It looks like learning quantum mechanics for cooking. Recently we heard how some microarchitecture features could lead to security breaches like...

Sergey Kuksenko Java Performance Engineer @Oracle
The JDK in 2018: What's Here, and What's Next

JDK 11 was released in September 2018, six months after JDK 10 and a year after JDK 9. This talk will walk you through the modular Java platform introduced in JDK 9, and explain how it enabled further evolution in JDK 10 and 11. We'll look at new Java language features that enhance productivity...

Alex Buckley Spec Lead, Java Language @Oracle
Disenchantment: Netflix Titus, its Feisty Team, and Daemons

Disenchantment is a Netflix show following the medieval misadventures of a hard-drinking princess, her feisty elf, and her personal demon. In this talk, we will follow the story of Netflix’s container management platform, Titus, which powers critical aspects of the Netflix business (video...

Andrew Spyker Manager, Netflix Container Cloud @Netflix
CRDTs in Production

In search of scalability and availability improvements, many companies adopt eventual consistency as the consistency model underlying their stateful systems and persistent data stores. At the same time, software designers are focused on creating resilient systems ready to work in production with...

Dmitry Martyanov Software Engineer @PayPal
Crisis to Calm: Story of Data Validation at Netflix

The best outage is the one that never happens! Runtime system behavior is increasingly driven by data flowing from various data sources. Each update is as impactful as code pushes, if not more, increasing the risk of outages. This makes a strong case for automated detection of bad data,...

Lavanya Kanchanapalli Senior Software Engineer @Netflix
Michelangelo - Machine Learning @Uber

Michelangelo is the Machine Learning Platform that powers most of the machine learning solutions at Uber. The early goal of Michelangelo was to enable teams around Uber to deploy and operate ML solutions at Uber scale. Now that the system has matured, our focus has shifted towards developer...

Jeremy Hermann Machine Learning Platform @Uber

Interviews

Charity Majors Co-Founder @Honeycombio, formerly DevOps @ParseIT/@Facebook

Yes, I Test In Production (And So Do You)

 What's the motivation for this talk?

The motivation for this talk is to help people understand that deploying software carries an irreducible element of uncertainty and risk.  Trying too hard to prevent failures will actually make your systems and your teams *more* vulnerable to failure and prolonged downtime. So what can you do about it?

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Ville Tuulos Machine Learning Infrastructure Engineer @Netflix

Human-Centric Machine Learning Infrastructure @Netflix

Can you give an example of some of the questions you get from data scientists when you are trying to deploy models?

When it comes to common questions, as boring as it may sound, my experience is that machine learning infrastructure is much more about data than science. Most questions we get are related to data: how do I find the data I need, how do I set up the data pipeline, how do I handle the somewhat non-trivial amounts of data in python and R,...

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Justin Basilico Machine Learning Research/Engineering Director @Netflix

Artwork Personalization @Netflix

What work do you do at Netflix?

I lead one of the Machine Learning and Recommendation teams at Netflix. We're responsible for the end-to-end machine learning that decides what shows up on the Netflix homepage across all our different experiences. When you log into Netflix, my team is responsible for what rows of TV shows and movies you see on the homepage. We select...

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Sangeeta Handa Engineering Manager, Billing Infrastructure @Netflix

Building Resilience in Production Migrations

What's the focus of the work that you do today?

I lead Billing Infrastructure Engineering at Netflix. We build the infrastructure that helps Netflix collect charges from its members. Part of that is to determine who should be charged and how much through our systems. We also hold all the gift codes and balances and track them. We also support major customer workflows. Our services...

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Jordan Sitkin Software Engineer @coinbase Luke Demi Software Engineer @coinbase

Capacity Planning for Crypto Mania

What's the focus of the work that you do today?

Jordan: We’re on the Reliability Team at Coinbase. It was formed in response to the crazy spike of scaling challenges around 2017 with Cryptocurrency. The work is focused on traditional SRE topics of monitoring and instrumentation. We act as consultants for other mostly feature-focused teams. For example, we embed in teams to make...

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Laurie Voss Co-Founder & Chief Operating Officer @npmjs

npm and the Future of JavaScript

Can you tell me more about what your talk is about?

I'll talk more about server-side stuff, and I’ll emphasize Node. We've found that the security message is important to people, so there will be quite a bit there. There's been this huge shift in how JavaScript is used and enterprises are only just beginning to catch up to that. There are many people working on JavaScript, and they're...

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