Speaker: Brittany Postnikoff

Computer Security and Privacy / Human-Robot Interaction Researcher
QCon

Brittany is a Computer Systems Analyst (Robotics and Embedded Systems) with GRIMM. Prior to joining GRIMM, Brittany was a researcher in the Cryptography, Security, and Privacy (CrySP) lab at the University of Waterloo where she worked to establish and study the field of Robot Social Engineering. She has also held a position as a researcher in both the Human-Computer Interaction and Autonomous Agents laboratories at the University of Manitoba where she studied Human-Computer Interaction, Human-Robot Interaction, and robotics.

Find Brittany Postnikoff at

Tracks

  • 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

  • Devex & Teams

    Explore how to reduce developer friction between teams and stakeholders.