Track: Trust, Safety, & Security

Hard earned lessons from names you know on scalability, reliability, throughput, and performance.

Machine learning is more approachable than ever. Learn techniques and use cases with PyTorch, Keras and TensorFlow that will become foundational for moderan application developers.

Evolving, observing, persisting, operating, and building modern architectures.

AI is the new electricity, but only 20% of the work is machine learning. The other 80% is data engineering: cleaning, enriching, moving, and transforming data. It's data engineering.

Electron, Flutter, JavaScript, GraphQL, Node/NPM. Web Workers, Wasm, WebVR, Speech/Alexia/Pipeline. More topics than room in this modern UI tech track.

Privacy, confidentiality, safety, security: learns from the frontlines.

Thoughts pushing software forward, including consensus, CRDTs, formal methods, & probabilistic programming.

Power of leadership, Engineering Metrics, and strategies for shaping the org for velocity.

Building, maintaining, and growing a team balanced for skills and aptitudes. Constraint theory, systems thinking, lean, hiring/firing and performance improvement will be discussed.

More than just building software, building deployable production ready software in the face of guaranteed failure.

6 month cadence, cloud-native deployments, scale, Graal, Kotlin, and beyond. Learn how the role of Java as it is evolves for the next 20 years.

Killing latency and getting the most out of your hardware.

Lessons learned from building languages like Rust, Go-lang, Swift, Kotlin, and more.

Deploying, scaling, managing your services is undifferentiated heavy lifting. Hear stories, learn techniques, and dive deep into software infrastructure.

Skills to be a top technician that don't involve writing code: communication, empathy, emotional grit, fortitude, teamwork, advanced critical thinking.