Track: Troubleshooting in Production

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

Learn about cutting-edge ML applications and their underlying architectures.

Explore a variety of data engineering use-cases and applications

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

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

Explore how to reduce developer friction between teams and stakeholders.

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

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

Join companies like Google, Netflix, Bloomberg, BBC, and more as they share an inside glimpse on their next-gen architectures and challenges of delivering at massive scale.

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

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

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

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

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

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