Quarkus at Red Hat Summit 2024 #38539
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Event Description: Red Hat® Summit and AnsibleFest bring together IT professionals, customers, partners, and peers to provide you the tools, connections, and knowledge to support your technology goals. Register now and join us May 6-9 in Denver, Colorado, to solve difficult challenges, grow your expertise, and learn ways to meet the demands of your customers with less, not more, complexity. You’ll leave with new ideas to help you and your company excel.
Date: May 6-9, 2024
Location: Denver, Colorado
Event Type: In Person
https://www.redhat.com/en/summit
Tuesday, May 7
Learn how to elevate your container development work with Podman Desktop
Speaker(s): Cedric Clyburn, Kevin Dubios, and Stevan Le Meur
Day/Time: Tuesday, May 7 | 10:30 AM - 12:00 PM MDT | Lab
Abstract: Kubernetes is the premier platform for managing containers at scale. But, let’s face it, diving into the world of Kubernetes and working with it as a developer can be intimidating, especially for those just starting their containerization journey. Don’t let that stop you, and discover Podman Desktop.
In this workshop, we'll introduce Podman and unveil Podman Desktop, an open-source GUI tool that streamlines container workflows and is compatible with Podman, Docker, and more. It serves as a beginner-friendly launchpad to Kubernetes, allowing you to spin up local Kubernetes clusters or work with remote environments.
We'll navigate the paths to transition from a Quarkus (Java) application to containers, to pods, and ultimately, to Kubernetes, highlighting how it reduces discrepancies and supports predictability in your deployments by taking advantage of Podman and Podman Desktop's perks and security advantages. You’ll learn how you can benefit from Podman Desktop to streamline your container development processes.
Building applications for the edge: A retail Odyssey with Red Hat OpenShift, AI/ML, and Red Hat Application Services
Speaker(s): David Burger, Hugo Guerrero, and Bruno Meseguer
Day/Time: Tuesday, May 7 | 10:30 AM - 12:00 PM MDT | Lab
Abstract: Forward-leaning companies and organizations are rapidly moving towards edge based solutions empowered with AI/ML capabilities. These solutions have created opportunities for IT organizations to use newer software architectures and development approaches to build and deploy value-adding products and services. Red Hat OpenShift, Red Hat Edge, and Red Hat Application Services can be crucial ingredients to rapidly and securely build and deliver high-impact applications.
This hands-on lab provides an "art of the possible" approach for a retail superstore point-of-sale solution that uses Red Hat Camel Quarkus, AI/ML image detection algorithms, internet of things (IoT)-based messaging, Kafka streaming, edge deployment, and Red Hat OpenShift services. Activities include:
Lab participants will gain practical knowledge and skills for architecting and building edge applications.
Bringing AI to production: Expanding the DevOps mindset
Speaker(s): Markus Eisele and Anish Asthana
Day/Time: Tuesday, May 7 | 10:30 AM - 11:15 AM MDT | Breakout
Abstract: As more organizations look to accelerate their adoption of artificial intelligence (AI), they are finding that bringing large language models (LLMs) to production is challenging, often requiring expensive resources and are hard to reproduce. Additionally, developers must understand deployment processes and synchronize application development with required data science end-to-end workflows. Red Hat OpenShift AI can help your organization create production-ready LLMs, bring them to production faster with MLOps, and infuse developers’ applications with AI. In this session, we’ll discuss how to:
(EAP customer luncheon) Java for the cloud: AI-powered migration strategies
Speaker(s): James Labocki, John Doyle, James Falkner, Philip Hayes, and Todd Sanders
Day/Time: Tuesday, May 7 | 12:00 PM - 1:00 PM MDT | Activity
Abstract: Join us for an exclusive session where we unlock the full potential of your Java applications for the cloud leveraging the latest Red Hat Runtimes products and tools. Learn how to modernize your existing Java EE/Jakarta EE investments seamlessly with AI, ensuring they remain relevant and efficient both now and in the future.
We will explore the power of EAP 8 to continue to support and modernize your enterprise Java applications, whether they reside on-premises or in the cloud. We will also discuss how to leverage the Red Hat application development platform to accelerate your workload migration and creation with kube-native Java frameworks like Quarkus.
No good session is complete without a little AI. We will see live demo on how AI can be utilized to refactor and improve application performance and drive innovation in your Java applications.
Bring the power of AI and LLM to containerized Java/Quarkus applications
Speaker(s): Zineb Bendhiba and Codrin Bucur
Day/Time: Tuesday, May 7 | 1:00 PM - 2:30 PM MDT | Lab
Abstract: Learn how to create and train large language models (LLMs) against your own data and then integrate them in your Java/Quarkus applications. Delve into the intricacies of AI-driven applications, showcasing a chatbot's contextual awareness for delivering precise, human-like responses, elevating user experiences. Explore with us though a real-life scenario and a step-by-step guide how to take advantage of Quarkus, Langchain4j, and the MLOps capabilities of Red Hat OpenShift AI.
Java ME Smarter: Quarkus and OpenShift Integration
Speaker(s): Daniel Oh
Day/Time: Tuesday, May 7 | 4:30 PM - 4:50 PM MDT | Lightning Talk
Abstract: This lightning talk with a live demo will showcases how Java with Quarkus makes developer's life easier to handle outer loop processes for OpenShift deployment and Kubernetes manifests generations without zero experience of OpenShift and Kuberentes.
Wednesday, May 8th
Bring the power of AI and LLM to containerized Java/Quarkus applications
Speaker(s): Zineb Bendhiba and Codrin Bucur
Day/Time: Wednesday, May 8 | 10:00 AM - 11:30 AM MDT | Lab
Abstract: Learn how to create and train large language models (LLMs) against your own data and then integrate them in your Java/Quarkus applications. Delve into the intricacies of AI-driven applications, showcasing a chatbot's contextual awareness for delivering precise, human-like responses, elevating user experiences. Explore with us though a real-life scenario and a step-by-step guide how to take advantage of Quarkus, Langchain4j, and the MLOps capabilities of Red Hat OpenShift AI.
Accelerating application development
Speaker(s): Camry Fedei, Juliano Mohr, and Ricardo Garcia Cavero
Day/Time: Wednesday, May 8 | 12:30 PM - 2:00 PM MDT | Lab
Abstract: Dive into the future of application development in our hands-on lab, where Red Hat OpenShift becomes your accelerator. Harness the speed of Quarkus for agile development and testing, deploy efficiently using GitOps and Red Hat OpenShift Pipelines, and fortify your applications with resilience through Kafka's event-driven architecture. Join us for an immersive experience, mastering the tools and techniques that redefine the boundaries of application development.
Key takeaways:
How to avoid serverless functions lock-in
Speaker(s): Kevin Dubois
Day/Time: Wednesday, May 8 | 2:50 PM - 3:10 PM MDT | Lightning Talk
Abstract: Creating serverless functions with Lambda or Azure Functions is easy, but can also create massive lock-in. In this session, we'll explore some ways to avoid or reduce lock-in with projects like Knative and Quarkus.
An event streaming cloud-native use case from Red Hat’s solution patterns
Speaker(s): Mark Cheshire
Day/Time: Wednesday, May 8 | 3:30 PM - 3:50 PM MDT | Lightning Talk
Abstract: Red Hat’s solution patterns are fully coded and easily reproducible solutions to real-world use cases that developers get ideas and inspiration from while developing cloud native applications. We will showcase one of the cloud-native patterns focusing on real-time event streaming which supports adaptive digital experiences that rely on immediate access to information instead of batch processing. This demo will showcase how to build a real-time streaming application that tracks user activity using Kafka, Kafka Streams, and Quarkus. We’ll also very briefly introduce solution patterns and how to access them.
Thursday, May 9th
Visualizing live traffic data from edge to cloud environments
Speaker(s): Michael Employ and Jefro Osier-Mixon
Day/Time: Thursday, May 9 | 8:00 AM - 9:30 AM MDT | Lab
Abstract: Smart cities will change how we live, work, and experience our everyday lives. In this hands-on lab, participants learn about the tools that will power our future. We will use the smart village Ansible operator, developed by transportation researchers and engineers from a collaboration between Red Hat and Boston University to visualize live smart traffic light data in a Red Hat OpenShift Container Platform environment. Participants will gain skills working with edge device data for a hybrid cloud environment, including:
We'll also demonstrate how device registration and data subscriptions work on a smart device running Red Hat Device Edge to publish data to the New England Research Cloud's OpenShift environment.
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