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Silicon Valley

Past Presentations

Generating Unified APIs with Protobuf & gRPC

With today's commonplace polyglot architectures, taming service APIs can be challenging. At Lyft, gRPC enforces a common protocol and types to solidify communication between backend services. How can we bring this same consistency to RESTful services and frontends? In this talk, we will cover...

Chris Roche Core Libraries Engineer @Lyft
Christopher Burnett Core Libraries Engineer @Lyft
Efficient Fault Tolerant Java with Aeron Clustering

Distributed systems present a number of challenges. Node failure, unreliable networks, resource starvation, and even the unpredictability of time itself can, and do, make our systems complex and fragile. We deserve and can do better. In this session, we will talk about Aeron Clustering, a new...

Todd Montgomery High Performance Consultant and Previously NASA Researcher
High Performance Remote and Distributed Teams

Past a certain size, many software organizations grow by looking beyond their headquarters to distributed sites and / or remote employees. Some organizations -- and almost every open source project -- have always been completely remote. What are the secrets of the organizations that use multiple...

Randy Shoup VP Engineering @WeWork
Refactoring Organizations - A Netflix Study

Is your service architecture and engineering velocity constrained by organizational concerns? Does it seem impossible to give priority to key initiatives regardless of intent? Are engineers switching tasks so often that they are just treading water? Are critical projects endlessly backlogged? Has...

Josh Evans Engineering Leader at Large (formerly Director of Operations Engineering @Netflix)
Coinbase Commerce: A User-Controlled Payment Processor

Coinbase Commerce is a user-controlled payment processor. Since launching in February 2018, we have processed millions of dollars worth of transactions totally free. We never hold the merchants funds, which means the merchant is always the sole custodian and guardian of their funds via a private...

Amy Yin Software Engineer @Coinbase
The State of Serverless Computing

Serverless computing has become increasingly popular since Amazon released AWS Lambda in 2014. Its appeal lies in the ability to write arbitrary code and deploy it at scale with the “click of a button”, in some sense realizing the original promise of cloud computing. While existing...

Chenggang Wu CS PhD student at RISELab, UC Berkeley

Interviews

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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Michele Titolo Tech Lead and Architect @Square

No Microservice Is an Island

You worked at Capital One first and then switched over to Square. So what were you working on at Capital One?

At Capital One, I was working on the first layer of services that our mobile app and website hit. Any new mobile or web request would first reach the service owned by my team.  This service implemented security and customisation logic and then made a server request to the broader Capital one ecosystem. Capital One has a lot of...

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Haley Tucker Senior Software Engineer, Chaos Engineering @Netflix

UNBREAKABLE: Learning to Bend but Not Break at Netflix

Tell me about your talk.

I’m going to share my personal journey at Netflix learning to build and operate distributed systems -- both as a service owner and as a Chaos engineer.  As service owner, I’ll provide examples of how I used Chaos engineering to build better systems, even for non-critical services. As a chaos engineer, I’ll cover some of the...

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Amy Yin Software Engineer @Coinbase

Coinbase Commerce: A User-Controlled Payment Processor

QCon: Do I need to know anything about crypto or blockchain to attend this talk?

Amy: Absolutely not! Amy will explain private and public keys as well as blockchain addresses, which is all that is needed to understand the talk.

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Raghav Ramesh Real-Time Predictions @DoorDash

Engineering Systems for Real-Time Predictions @DoorDash

QCon: Can you describe the machine learning platform you have leverage at DoorDash?

Raghav: We built our system around common machine learning open source libraries in Python like SciKit-Learn, LightGBM, and Keras. We have a microservices architecture also built in Python which includes a prediction service that handles all the predictions and a features service. All the services are hosted on AWS.

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Aish Dahal Engineer @pagerduty

Modeling the Real World With Elixir/OTP

What is the focus of your work today?

I work on event-based systems that leverage Elixir/OTP and quite a bit of Apache Kafka. My team is building a platform for enriching and processing high volumes of data in real time.

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