Google

Past Presentations

Effective Java, Third Edition - Keepin' it Effective

Since its release in 2001, Effective Java has been the de facto standard best-practices guide for the Java platform. The book was last updated in 2008, when Java 6 was released. In the intervening decade, the platform has had three major releases, introducing many new language and library...

Joshua Bloch Author of Effective Java, Lead Design of Java Collection API & Carnegie Mellon Professor
Help! I Accidentally Distributed My System!

Mobile and web apps are increasingly built on Backends as a Service, Platforms as a Service, and Infrastructure as a Service solutions. We snap together SaaS software and vendor products, adding pieces until we’ve built a complex system out of seemingly simple parts. We’ve all become...

Emily Nakashima Software Engineer & Engineering Manager @Honeycombio
Rachel Myers Developer Programs Engineer @Google
Better DevEx at Netflix: Polyglot and Containers

A quick scan through Netflix Github repository reveals how deeply invested Netflix engineering has been on Java and the cloud. While both of these remain true, the story has gotten increasingly more complex over time. Growth and various business drivers have propelled Netflix beyond a single...

Mike McGarr Manager of Developer Productivity @Netflix and Co-Host of the Productivity Engineering Silicon Valley Meetup
Build Cross Platform Apps With Flutter

Historically users building cross platform apps would be able to see and feel a difference between "native" apps and cross platform solutions, but what happens when the clients built by cross platform technologies start to achieve the same look and feel?Flutter built apps...

Faisal Abid Co-Founder at dydx.dev & Google Developer Expert
Getting Started in Deep Learning with TensorFlow 2.0

The introduction of deep learning into the data science toolkit has allowed for significant improvements on many important problems in data science. Many advancements in fields such as natural language processing, computer vision and generative modeling can be attributed to advancements in deep...

Brad Miro Machine Learning Engineer @Google
From Research to Production With PyTorch

PyTorch is a powerful, flexible deep learning platform that enables engineers and researchers to move quickly from research to production. Since the 1.0 release a few months ago, researchers and engineers are already seeing success in taking advantage of the new capabilities to take deep learning...

Jeff Smith Engineering Manager @Facebook AI

Interviews

Liz Fong-Jones Site Reliability Engineer

Organizing for Your Ethical Principles

What does organizing your ethical principle mean?

I can't tell you what your ethical principles are. I think that it’s important for you to figure out what is important to you. You have to figure out what you value, and what things you perceive as right or wrong.

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Emily Nakashima Software Engineer & Engineering Manager @Honeycombio Rachel Myers Developer Programs Engineer @Google

Help! I Accidentally Distributed My System!

Can you tell me about the work you do today?

Rachel: I work at Google on Firebase Security Rules and Google Cloud Policy. Firebase is a Backend As A Service. We provide tools for developers to keep their apps secure. Google Cloud Policy helps system administrators to ensure that all their apps have the same security policy.

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Mike McGarr Manager of Developer Productivity @Netflix and Co-Host of the Productivity Engineering Silicon Valley Meetup

Better DevEx at Netflix: Polyglot and Containers

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Faisal Abid Co-Founder at dydx.dev & Google Developer Expert

Build Cross Platform Apps With Flutter

What is the focus of your work today?

I am the Co-Founder of dydx.dev, a Machine learning powered API monitoring service, where we analyze your API requests and responses using machine learning, notifying you when your API breaks before your users do.

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Jeff Smith Engineering Manager @Facebook AI

From Research to Production With PyTorch

What is the focus of your work today?

I work on PyTorch, which is an open source deep Learning framework developed here at Facebook. I specifically work with the team on a lot of the ways in which we enable the success of a broad open source community that spans both bleeding edge researchers as well as ML product engineers putting deep learning technology to use in...

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Jiaying Zhang Software Engineer @Google Kubernetes team

How to Evolve Kubernetes Resource Management Model

What is the focus of your work today?

I'm mostly working on two major things: a) Improve Kubernetes reliability in terms of resource isolation. We want to provide better isolation between containers by hardening the resource model. b) We also attempt to see how we can better support other non-primary resources such as GPU.

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