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November 12-15
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Wednesday, November 13
 

11:15am MST

Tutorial: A Mad Scientist's Guide to Automating CNI with Generative AI - Doug Smith, Red Hat, Inc
Wednesday November 13, 2024 11:15am - 12:45pm MST
Ready to make Kubernetes networking a little easier and a lot more fun? Join Doug for an experiment in configuring CNI (Container Networking Interface) using generative AI. Despite being advised by data scientists to avoid automating machine configurations with generative AI, Doug went into the mad scientist's lab (err, basement) and tested how often a workflow could generate CNI configurations that would establish network connectivity between pods – and the success rate might surprise you. In this session, you'll automate CNI configurations using a large language model (LLM) and gain experience with a nifty tech stack: Ollama for running a containerized LLM, Kubernetes, CNI, and some script wizardry to create your own auto-configurator. Best yet? No prior CNI or AI/ML knowledge needed, and you'll learn along the way! Just in case, have contingency plans ready should any Skynet or Space Odyssey 2001 scenarios arise during the tutorial.
Speakers
avatar for Doug Smith

Doug Smith

Principal Engineer, Red Hat, Inc
Doug Smith is a Principal Software Engineer for OpenShift Engineering at Red Hat. Focusing on Network Function Virtualization and container technologies, Doug integrates new networking technologies with container systems like Kubernetes and OpenShift. He is a member of the Network... Read More →
Wednesday November 13, 2024 11:15am - 12:45pm MST
Salt Palace | Level 1 | Grand Ballroom ACE
  Tutorials, Cloud Native Novice

2:30pm MST

Tutorial: Confidential Containers 101: A Hands-on Workshop - Archana Choudhary & Suraj Deshmukh, Microsoft
Wednesday November 13, 2024 2:30pm - 4:00pm MST
As traditional enterprises with stringent data protection requirements become cloud-native and migrate to Kubernetes on public clouds, they are wondering: “Is my data secure on this shared hardware? Can someone with a host access snoop on my data?” And especially, with the upcoming Digital Operational Resilience Act (DORA) in Europe mandating data protection in use, it’s crucial for users to familiarize themselves with solutions like Confidential Containers (CoCo), a CNCF sandbox project. In this, first of its kind, hands-on workshop we’ll dive deep into using CoCo with k8s. We’ll explore real-world challenges, such as ensuring data confidentiality from platform owners (cloud providers), and show you how to overcome them. Through practical exercises, you’ll learn to set up CoCo and secure your containerized workloads, turning theory into practice. Attendees will discover streamlined practices, find robust protection mechanisms, and gain strategic insights into adopting CoCo.
Speakers
avatar for Suraj Deshmukh

Suraj Deshmukh

Senior Software Engineer, Microsoft
Suraj is working on Confidential Containers open-source project for Microsoft. He has been working with Kubernetes since version 1.2. He is currently focused on integrating Kubernetes and Confidential Containers on Azure.
avatar for Archana Choudhary

Archana Choudhary

Ms, Microsoft
A software engineer who has been exploring cloud-native technologies, particularly focusing on confidential containers over the past several months.
Wednesday November 13, 2024 2:30pm - 4:00pm MST
Salt Palace | Level 1 | Grand Ballroom ACE
  Tutorials, Security

4:30pm MST

Tutorial: Get the Most Out of Your GPUs on Kubernetes with the GPU Operator - Eduardo Arango Gutierrez, Tariq Ibrahim, Amanda Moran & Christopher Desiniotis, NVIDIA; David Porter, Google
Wednesday November 13, 2024 4:30pm - 6:00pm MST
NVIDIA’s GPU operator has become the de-facto standard for managing GPUs in Kubernetes at scale. This tutorial provides in-depth, hands-on training on the various GPU sharing techniques that are possible with the GPU operator. Participants will learn to deploy jobs utilizing these sharing techniques, as well as get hands-on experience on the installation and configuration of the NVIDIA GPU Operator itself. This includes an in-depth exploration of its two primary CRDs: ClusterPolicy and NVIDIADriver. These CRDs are essential for configuring GPU-accelerated nodes, enabling GPU sharing mechanisms, and performing GPU driver upgrades. The session will culminate with practical use cases, such as training an AI/ML model and giving participants firsthand experience in managing a GPU-accelerated Kubernetes cluster.
Speakers
avatar for Christopher Desiniotis

Christopher Desiniotis

Senior Systems Software Engineer, NVIDIA
Christopher Desiniotis is a Senior Systems Software Engineer on the Cloud Native team at NVIDIA where he works on enabling GPUs in containers and Kubernetes. He is a maintainer of the NVIDIA GPU Operator, a widely used tool for managing GPUs in Kubernetes, and is focused on increasing... Read More →
avatar for David Porter

David Porter

Senior Software Engineer Google, Google
David Porter is a Senior Software Engineer at Google on the Kubernetes node team. David’s focus is on the kubelet node agent and the resource management area. He is primary maintainer of cAdvisor, a resource monitoring library widely used in kubernetes, reviewer of a SIG Node, and... Read More →
avatar for Eduardo Arango Gutierez DE

Eduardo Arango Gutierez DE

Senior systems software engineer, NVIDIA
Eduardo is a Senior Systems Software Engineer at NVIDIA, working on the Cloud Native Technologies team. Eduardo has focused on enabling users to build and deploy containers on distributed environments.
avatar for Tariq Ibrahim

Tariq Ibrahim

Senior Software Engineer, NVIDIA
Tariq Ibrahim is a Senior Cloud Platform Engineer on the Cloud Native team at NVIDIA where he works on enabling GPUs in containers and Kubernetes. He is a maintainer of the NVIDIA GPU Operator. He has also contributed to several cloud native OSS projects like kube-state-metrics, Istio... Read More →
avatar for Amanda Moran

Amanda Moran

https://www.nvidia.com/en-us/, NVIDIA
Amanda has been working in technology since graduating from SCU in 2012 with a Master’s in Science in CS. Prior to this she had graduated with an BS in Biology from UW. Amanda has worked the last 12 years as a Software Engineer, a Solutions Architect, and an Engineering Manager... Read More →
Wednesday November 13, 2024 4:30pm - 6:00pm MST
Salt Palace | Level 1 | Grand Ballroom ACE
  Tutorials, AI + ML
 

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