Speaker: Kingsum Chow

Chief Scientist, Java Technologies and Software Hardware Co-Optimization @AlibabaGroup

Kingsum is currently a Chief Scientist at Alibaba System Software Hardware Co-Optimization. Since receiving Ph.D. in Computer Science and Engineering from the University of Washington in 1996, he has been working on performance, modeling and analysis of software applications. He has been issued more than 20 patents. He has presented more than 80 technical papers. Kingsum appeared four times in JavaOne keynotes and almost a dozen times in JavaOne and Oracle OpenWorld presentations covering the topic of software performance systems and optimization. Kingsum also co-chairs QCon Beijing 2018. In his spare time, he volunteers to coach multiple robotics teams to bring the joy of learning Science, Technology, Engineering and Mathematics to the K-12 students in USA and China. His teams appeared in national and world championships three times, taking home best programming in 2010 and best sensor technology and machine learning for robotics in both 2014 and 2015.

Find Kingsum Chow at

Tracks

  • Practices of DevOps & Lean Thinking

    Practical approaches using DevOps and a lean approach to delivering software.

  • Microservices Patterns & Practices

    What's the last mile for deploying your service? Learn techniques from the world's most innovative shops on managing and operating Microservices at scale.

  • Bare Knuckle Performance

    Killing latency and getting the most out of your hardware

  • Architectures You've Always Wondered About

    Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more

  • Machine Learning for Developers

    AI/ML is more approachable than ever. Discover how deep learning and ML is being used in practice. Topics include: TensorFlow, TPUs, Keras, PyTorch & more. No PhD required.

  • Production Readiness: Building Resilient Systems

    Making systems resilient involves people and tech. Learn about strategies being used from chaos testing to distributed systems clustering.

  • Regulation, Risk and Compliance

    With so much uncertainty, how do you bulkhead your organization and technology choices? Learn strategies for dealing with uncertainty.

  • Languages of Infrastructure

    This track explores languages being used to code the infrastructure. Expect practices on toolkits and languages like Cloudformation, Terraform, Python, Go, Rust, Erlang.

  • Building & Scaling High-Performing Teams

    To have a high-performing team, everybody on it has to feel and act like an owner. Organizational health and psychological safety are foundational underpinnings to support ownership.

  • Evolving the JVM

    The JVM continues to evolve. We’ll look at how things are evolving. Covering Kotlin, Clojure, Java, OpenJDK, and Graal. Expect polyglot, multi-VM, performance, and more.

  • Trust, Safety & Security

    Privacy, confidentiality, safety and security: learning from the frontlines.

  • JavaScript & Transpiler/WebAssembly Track

    JavaScript is the language of the web. Latest practices for JavaScript development in and how transpilers are affecting the way we work. We’ll also look at the work being done with WebAssembly.

  • Living on the Edge: The World of Edge Compute From Device to Application Edge

    Applied, practical & real-world deep-dive into industry adoption of OS, containers and virtualization, including Linux on.

  • Software Supply Chain

    Securing the container image supply chain (containers + orchestration + security + DevOps).

  • Modern CS in the Real World

    Thoughts pushing software forward, including consensus, CRDT's, formal methods & probabilistic programming.

  • Tech Ethics: The Intersection of Human Welfare & STEM

    What does it mean to be ethical in software? Hear how the discussion is evolving and what is being said in ethics.

  • Optimizing Yourself: Human Skills for Individuals

    Better teams start with a better self. Learn practical skills for IC.

  • Modern Data Architectures

    Today’s systems move huge volumes of data. Hear how places like LinkedIn, Facebook, Uber and more built their systems and learn from their mistakes.