Quarkus at Red Hat Summit 2023 #33126
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Event Description: Join us for Red Hat Summit, which will feature virtual and in-person events that are designed to fit your open source journey.
Date: May 23-25, 2023
Location: Boston, USA
Event Type: In Person
https://www.redhat.com/en/summit
Quarkus Sessions and Activities
TUESDAY
Quarkus supercharges native Java with GraalVM
Date and Time: Tuesday from 1:10 PM - 1:30 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1681250505816001iE4Z
Speaker(s): Daniel Oh
Session Type: Lightning talk
Abstract: This lightning talk will demonstrate how Java developers can optimize Java applications with fast startups and response times, and a low memory footprint using GraalVM and Quarkus.
Quarkus for Spring Developers
Date and Time: Tuesday from 2:00 PM - 2:20 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1682460444286001Hgrx
Speaker(s): Eric Deandrea
Session Type: Lightning Talk
Abstract: Want to see how you can run twice as many workloads given the same hardware resources? In this session, I will show concepts and conventions familiar to Spring developers and how those same concepts and conventions can be implemented in Quarkus, all while highlighting similarities and differences between them.
The future of Java in a Kubernetes world
Date and Time: Tuesday from 3:00 PM - 3:45 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1673456338993001Ppcw
Speaker(s): Mark Little
Session Type: Interactive Session
Abstract: This session will share the latest innovations in Java, including how Kubernetes-native Java, Quarkus, OpenJDK, and Eclipse Adoptium are proving to be more and more important in a Kubernetes environment, Learn how you can be on the leading edge of Kubernetes-native Java developers and how these innovations are affecting Red Hat products and projects.
Event-driven autoscaling for Serverless Java
Date and Time: Tuesday from Tuesday, May 235:00 PM - 5:20 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1682460444677001HfIA
Speaker(s): Daniel Oh
Session Type: Lightning Talk
Abstract: This lightning talk will teach you how to redesign your Kubernetes autoscaling architecture by event-driven metrics from Apache Kafka over standard resources (CPU, Memory) with Knative and KEDA integration for serverless Java using Quarkus.
WEDNESDAY
bp’s journey to success with Red Hat OpenShift Service on AWS
Date and Time: Wednesday from 10:30 AM - 11:15 AM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1673432037845001MhoS
Speaker(s): Waqaas Kausar & Emma McEwen
Session Type: Interactive Session
Abstract: In this session, you’ll hear an engaging account of bp’s successful migration from Red Hat OpenShift Container Platform 3.11 to Red Hat OpenShift Service on Amazon Web Services (AWS) for its trading & shipping (T&S) division. bp and Red Hat will discuss why bp chose OpenShift Service on AWS, the migration pilot journey, the results achieved, and post-migration activities.
Enter serverless functions journey with Quarkus
Date and Time: Wednesday from 11:00 AM - 12:30 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1671448706376001mamw
Speaker(s): Daniel Oh
Session Type: Workshop
Abstract: This workshop is for developers getting started with scaffolding serverless functions projects using Quarkus, a new Kubernetes-native Java framework with familiar tools like CLI, Maven, and Gradel. This hands-on lab showcases how quickly developers can create cloud-native microservice projects using Quarkus. This workshop will cover:
Lab participants will be provided a sandbox for serverless deployments.
Please bring your own laptop to this workshop.
Accelerate new application development with Red Hat OpenShift
Date and Time: Wednesday from 1:00 PM - 3:00 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1673369845907001EILW
Speaker(s): Camry Fedei & Juliano Mohr
Session Type: Lab
Abstract: This hands-on workshop will immerse attendees in the latest practices and tooling available to dramatically accelerate development of new applications on Red Hat OpenShift.
From enabling immediate developer productivity to building a flexible architecture, attendees will learn how to:
Key takeaways include:
Use Change Data Capture to build new functionality without changing existing code
Date and Time: Wednesday from 1:30 PM - 1:50 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1682460445045001HCcH
Speaker(s): Bernard Tison & Jay Baskaran
Session Type: Lightning Talk
Abstract: Change data capture (CDC) refers to the process of capturing changes made to data in a database and then delivering those changes in real-time to a downstream process. In this session we will walk you through a demo where CDC is used to build new functionality without changing existing application code. The demo also illustrates other technologies from the Red Hat Application Services Portfolio such as Apache Kafka, Camel and Quarkus.
Modern cloud-native Java runtimes performance monitoring on Red Hat OpenShift
Date and Time: Wednesday from 1:00 PM - 3:00 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1673392884031001ZOQX
Speaker(s): Rafael Soares, Giovanni Fontana, & Guilherme Camposo
Session Type: Lab
Abstract: Java continues to strive in the enterprise and now in cloud environments. Modern Java developers seeking cloud-native experience have various options when building and deploying Java applications in cloud environments.
In this workshop, we'll provide an intro-level, hands-on session on application performance using three different cloud-native Java runtimes: Quarkus, SpringBoot, and Micronaut. We'll be building a simple microservice using these three runtimes, packaging them as containers, and deploying them on top of Red Hat OpenShift. Finally, we'll be analyzing and monitoring CPU load as well as memory usage of each variant using some of the capabilities provided by Red Hat OpenShift Platform, like Prometheus and Grafana. We'll conclude by establishing a baseline, so you can see the impact of scaling out or scaling up containers.
In this session, you'll:
Note: This is a BYOL (Bring Your Own Laptop) lab.
Build a multichannel hub with Apache Camel and Quarkus
Date and Time: Wednesday from 3:30 PM - 5:30 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1673372897061001s5cd
Speaker(s): Bruno Meseguer & Eric Deandrea
Session Type: Lab
Abstract: The emergence of Quarkus and the latest evolution of Apache Camel has driven Red Hat's application development and enterprise integration to make a significant leap forward, bringing Camel to everyone, not just the Camel developer. This workshop presents a real-world inspired base scenario, where you will:
The lab is very easy to follow and delivers great value with each step the student completes. Takeaways for participants will include:
THURSDAY
Modern cloud-native Java runtimes performance monitoring on Red Hat OpenShift
Date and Time: Thursday 10:15 AM - 12:15 PM EDT
Session Link: https://events.experiences.redhat.com/widget/redhat/sum23/SessionCatalog2023/session/1673392884031001ZOQX
Speaker(s): Rafael Soares, Giovanni Fontana, & Guilherme Camposo
Session Type: Lab
Abstract: Java continues to strive in the enterprise and now in cloud environments. Modern Java developers seeking cloud-native experience have various options when building and deploying Java applications in cloud environments.
In this workshop, we'll provide an intro-level, hands-on session on application performance using three different cloud-native Java runtimes: Quarkus, SpringBoot, and Micronaut. We'll be building a simple microservice using these three runtimes, packaging them as containers, and deploying them on top of Red Hat OpenShift. Finally, we'll be analyzing and monitoring CPU load as well as memory usage of each variant using some of the capabilities provided by Red Hat OpenShift Platform, like Prometheus and Grafana. We'll conclude by establishing a baseline, so you can see the impact of scaling out or scaling up containers.
In this session, you'll:
Note: This is a BYOL (Bring Your Own Laptop) lab.
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