Presentation: Data Engineering Open Space

Evolving, observing, persisting, and building modern microservices

Practical approaches using DevOps & Lean Thinking 

Beyond JavaScript in the Browser. Exploring WebAssembly, Electron, & Modern Frameworks 

Thoughts pushing software forward, including consensus, CRDT's, formal methods, & probabilistic programming

Applied, practical, & real-world deep-dive into industry adoption of OS, containers and virtualization, including Linux on Windows, LinuxKit, and Unikernels

Better teams start with a better self. Learn practical skills for IC

Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more

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

Showcasing DataEng tech and highlighting the strengths of each in real-world applications.

Killing latency and getting the most out of your hardware

Building socially responsible software that protects users privacy & safety

Runtime containers, libraries, and services that power microservices

Applied machine learning lessons for SWEs, including tech around TensorFlow, TPUs, Keras, PyTorch, & more

More than just building software, building deployable production ready software

Improving the end to end developer experience - design, dev, test, deploy, operate/understand. 

Security from the defender's AND the attacker's point of view

IoT, voice, mobile: Interfaces pushing the boundary of what we consider to be the interface

Workhorse languages found in modern enterprises. Expect Java, .NET, & Node in this track