Speaker: Chenggang Wu

CS PhD student at RISELab, UC Berkeley
QCon

Chenggang Wu is a Ph.D. student at UC Berkeley working with Professor Joseph M. Hellerstein. His research interest lies in distributed systems, specifically coordination-free architectures, distributed consistency models, and serverless infrastructure. Prior to joining Berkeley, he obtained his B.S. degree in computer science from Brown University in 2015.

Find Chenggang Wu at

Tracks

  • Devex & Teams

    Explore how to reduce developer friction between teams and stakeholders.

  • Blameless Culture

    Absorb the lessons learned from failures and outages in a human-centric process.

  • Modern CS in the Real World

    Learn how companies are applying recent CS research to tackle concurrency, distributed data, and coordination.

  • Architectures You’ve Always Wondered About

    Next-gen architectures from the most admired companies in software.

  • Bare Knuckle Performance

    Learn from practitioners on the challenges and benefits of architecting for performance and much more.

  • Java - The Interesting Bits

    Learn the new features in the recent and near-future releases of Java and the JVM and what they offer.

  • Ethical Considerations in Consciously Designed Software

    Design considerations for various contexts, locations, security and privacy requirements.

  • Operating Microservices

    Learn from practitioners operating and evolving systems in performance demanding environments.

  • Security

    Learn how to make security an inherent part of the software development process.

  • Native Compilation Is Back (A Look at Non-Vm Compilation Targets)

    Issues with native compilation for in browser-based and server-side environments

  • Trouble-Shooting in Production

    Learn debugging strategies for complex and high stakes environments where standard debuggers and profilers fail.

  • Predictive Architectures and ML

    Explore the systems and designs covering the full loop from machine learning to inferencing.

  • Data Engineering on the Bleeding Edge

    Explore the latest trends in data engineering that help improve the life of the developer

  • Production Readiness

    Observability, emergency response, capacity planning, release processes, and SLOs for availability and latency.

  • Humane Leadership

    A look at leadership with an emphasis on empathy, taking chances and building other leaders within organizations and teams