Workshop: Introduction to Kubeflow and Kubeflow Pipelines (Afternoon Session)
Kubeflow is an OSS machine learning stack that runs on Kubernetes. The Kubeflow project is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable. In this workshop, you will learn how to install and use Kubeflow, including Kubeflow Pipelines, to support an end-to-end ML workflow.
During the workshop, you'll install Kubeflow from scratch, see how to use Kubeflow's multi-user Jupyter notebook servers and other core components, and build and run Kubeflow Pipelines that support full ML workflows, using both the Pipelines UI and its SDK. In the process, we'll look at how you can use logging, metrics and visualizations, and metadata/artifact tracking, to support ML workflow evaluation and reproducibility.
Last Year's Tracks
Monday, 1 November
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Microservices / Serverless Patterns & Practices
Evolving, observing, persisting, and building modern microservices
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Practices of DevOps & Lean Thinking
Practical approaches using DevOps & Lean Thinking
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JavaScript & Web Tech
Beyond JavaScript in the Browser. Exploring WebAssembly, Electron, & Modern Frameworks
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Modern CS in the Real World
Thoughts pushing software forward, including consensus, CRDT's, formal methods, & probabilistic programming
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Modern Operating Systems
Applied, practical, & real-world deep-dive into industry adoption of OS, containers and virtualization, including Linux on Windows, LinuxKit, and Unikernels
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Optimizing You: Human Skills for Individuals
Better teams start with a better self. Learn practical skills for IC
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Open Spaces
Tuesday, 2 November
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Architectures You've Always Wondered About
Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more
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21st Century Languages
Lessons learned from languages like Rust, Go-lang, Swift, Kotlin, and more.
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Emerging Trends in Data Engineering
Showcasing DataEng tech and highlighting the strengths of each in real-world applications.
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Bare Knuckle Performance
Killing latency and getting the most out of your hardware
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Socially Conscious Software
Building socially responsible software that protects users privacy & safety
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Delivering on the Promise of Containers
Runtime containers, libraries, and services that power microservices
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Open Spaces
Wednesday, 3 November
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Applied AI & Machine Learning
Applied machine learning lessons for SWEs, including tech around TensorFlow, TPUs, Keras, PyTorch, & more
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Production Readiness: Building Resilient Systems
More than just building software, building deployable production ready software
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Developer Experience: Level up your Engineering Effectiveness
Improving the end to end developer experience - design, dev, test, deploy, operate/understand.
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Security: Lessons Attacking & Defending
Security from the defender's AND the attacker's point of view
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Future of Human Computer Interaction
IoT, voice, mobile: Interfaces pushing the boundary of what we consider to be the interface
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Enterprise Languages
Workhorse languages found in modern enterprises. Expect Java, .NET, & Node in this track