Speaker: Joshua Bloch

Author of Effective Java, Lead Design of Java Collection API & Carnegie Mellon Professor

Joshua Bloch is the author of Effective Java and coauthor of Java Puzzlers and Java Concurrency in Practice. He is a professor on leave from Carnegie Mellon University. He was formerly the chief Java architect at Google, a distinguished engineer at Sun Microsystems. He led the design and implementation of numerous Java platform features, including the Java 5 language enhancements and the Java Collections Framework. He holds a Ph.D. in computer science from Carnegie Mellon University and a B.S. in computer science from Columbia University.

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.