Privacy, confidentiality, safety, security: learns from the frontlines.
Track: Trust, Safety, & Security
Tracks
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Trust, Safety, & Security
Privacy, confidentiality, safety, security: learns from the frontlines.
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Modern CS in the Real World
Thoughts pushing software forward, including consensus, CRDTs, formal methods, & probabilistic programming.
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Human Systems: Hacking the Org
Power of leadership, Engineering Metrics, and strategies for shaping the org for velocity.
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Building High-Performing Teams
Building, maintaining, and growing a team balanced for skills and aptitudes. Constraint theory, systems thinking, lean, hiring/firing and performance improvement will be discussed.
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Architecting For Failure
More than just building software, building deployable production ready software in the face of guaranteed failure.
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Modern Java
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.
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High Performance Computing: Lessons from FinTech & AdTech
Killing latency and getting the most out of your hardware.
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21st Century Languages
Lessons learned from building languages like Rust, Go-lang, Swift, Kotlin, and more.
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Software Defined Infrastructure: Kubernetes, Service Meshes, & Beyond
Deploying, scaling, managing your services is undifferentiated heavy lifting. Hear stories, learn techniques, and dive deep into software infrastructure.
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Non-Technical Skills for Technical Folks
Skills to be a top technician that don't involving writing code: communication, empathy, emotional grit, fortitude, teamwork, advanced critical thinking.
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Architectures You've Always Wondered About
Hard earned lessons from names you know on scalability, reliability, throughput, and performance.
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Machine Learning for Developers
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.
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Microservices / Serverless (Patterns & Practices)
Evolving, observing, persisting, operating, and building modern architectures.
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Data Engineering
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.
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Developing/Optimizing Clients for Developers
Electron, Flutter, JavaScript, GraphQL, Node/NPM. Web Workers, Wasm, WebVR, Speech/Alexia/Pipeline. More topics than room in this modern UI tech track.