Speaker: Nate Kupp

Technical Infrastructure Lead @Thumbtack

Nate Kupp leads the Technical Infrastructure team at Thumbtack, and advises various startups on their journey building scalable infrastructure. Over his nearly 3 years at Thumbtack, he has worked on scaling both engineering teams and infrastructure to support Thumbtack's rapidly growing marketplaces.

Before joining Thumbtack, Nate spent a few years at Apple, where he built out data infrastructure for iOS and watchOS battery life analytics. His work at Apple enabled aggregating and analyzing hardware and software time series data from millions of iOS devices, driving optimizations and bug fixes to improve battery life for iOS and watchOS products. Prior to Apple, Nate completed his Ph.D. at Yale University in 2012; his research focused on machine learning solutions for semiconductor manufacturing and test applications.

Find Nate Kupp at

Talk: Scaling Marketplaces at Thumbtack

Other talks from track Going Serverless

Director of Innovation @Trek10
Cloud Robotics Research Scientist @iRobot

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Tracks

  • 21st Century Languages

    Compile to Native, Microservices, Machine learning... tailor-made languages solving modern challenges, featuring use cases around Go, Rust, C#, and Elm.

  • Architectures You've Always Wondered About

    Architectural practices from the world's most well-known properties, featuring startups, massive scale, evolving architectures, and software tools used by nearly all of us.

  • Beyond Being an Individual Contributor

    Beyond being an individual contributor. Building and Evolving managers and tech leadership.

  • DevOps: You Build It, You Run It

    Pushing DevOps beyond adoption into cultural change. Hear about designing resilience, managing alerting, CI/CD lessons, & security. Features lessons from open source, Linkedin, Netflix, Financial Times, & more. 

  • Performance Mythbusting

    Real world, applied performance proofs across stacks. Hear performance consideratiosn for .NET, Python, & Java. Learn performance use cases with OpenJ9, Instagram, and Netflix. 

  • The Practice & Frontiers of AI

    Learn about machine learning in practice and on the horizon. Learn about ML at Quora, Uber's Michelangelo, ML workflow with Netflix Meson and topics on Bots, Conversational interfaces, automation, and deployment practices in the space.

  • Going Serverless

    Learn about the state of Serverless & how to successfully leverage it! Lessons learned in the track hit on security, scalability, IoT, and offer warnings to watch out for.

  • Microservices: Patterns and Practices

    Stories of success and failure building modern Microservices, including event sourcing, reactive, decomposition, & more.

  • Evolving Java

    Java continues to evolve & change. Track covers Spring 5, async, Kotlin, serverless, the 6-month cadence plans, & AI/ML use cases.

  • The Art of Chaos Engineering

    Failure is going to happen - Are you ready? Chaos engineering is an emerging discipline - What is the state of the art?

  • Security: Attacking and Defending

    Offense and defensive security evolution that application developers should know about including SGX Enclaves, effects of AI, software exploitation techniques, & crowd defense

  • Stream Processing In The Modern Age

    Compelling applications of stream processing using Flink, Beam, Spark, Strymon & recent advances in the field, including Custom Windowing, Stateful Streaming, SQL over Streams.