cloud

CDT Cloud, Embedded SIG, Cloud Dev Tools, OpenVSX and how they all play together

Last year’s progress with respect to the Cloud Development Tools workgroup was an interesting one. We will explain how last year’s Cloud Dev Tools group and embedded SIG became the CDT Cloud Group, Cloud Dev Tools Group and OpenVSX group. This talk also aims to shed light on the goals of the workgroups. Where one would want to go when they wish to collaborate or even just have a question.

Experience level:

Beginner

Other Cool Stuff

How to host web-based tools in the cloud

Simon Graband (EclipseSource)

Johannes Faltermeier (EclipseSource)

Do you want to host a tool or IDE online in the cloud? Join this talk to jump start your cloud tool project with ease!

Modern tools and IDEs are often created based on web technologies. This enables deploying them not only as desktop applications, but also to run them in the cloud. This provides users access via a regular browser, so they can use the tool or custom IDE without any local installation from anywhere in the world just by following a link.

Experience level:

Beginner

Tools & IDEs

Cloud Native Java with JBoss EAP and OpenShift

Reza Rahman (Microsoft Corp.)

Jakarta EE and MicroProfile have come a long way to become effective APIs for cloud native applications. JBoss EAP is one of the most capable and popular open source application servers to implement both Jakarta EE and MicroProfile. Similarly OpenShift is one of the most productive and feature rich ways of running Kubernetes. Jakarta EE, MicroProfile, JBoss EAP and OpenShift is a killer combination.

Experience level:

Beginner

Programming Languages & Runtimes

Effective Kubernetes for Jakarta EE and MicroProfile Developers

Reza Rahman (Microsoft Corp.)

There are several key techniques to understand while using Kubernetes with Java EE, Jakarta EE and MicroProfile applications. Examples include:

Experience level:

Beginner

Programming Languages & Runtimes

Why Jakarta EE Developers are First-Class Citizens on Azure

Reza Rahman (Microsoft Corp.)

Java/Jakarta EE is an important technology to support on Azure. Enterprise Java is a heterogenous ecosystem with as much as a third of workloads still running on Java/Jakarta EE application servers such as WebLogic, WebSphere/Open Liberty, and JBoss EAP. This is particularly true for large enterprises that need to migrate their existing mission-critical, largely monolithic applications to Azure. Traditionally, Azure has not focused on strong support for such workloads but that is changing now and going forward.

Experience level:

Beginner

Programming Languages & Runtimes

Open Services Cloud: Unleash the power of self-operated cloud managed services

Jean-Baptiste Onofré (Huawei Technologies Co., LTD.)

Today, from core infrastructure to advanced machine learning services, managed services are the
key capabilities and value that clouds offer to their customers. However, only cloud service
providers have the ability to offer managed services. Software providers are locked out from
creating native managed services in clouds, and users are locked in to proprietary managed
services from cloud service providers. As a result, software providers must compete against their
cloud service providers’ own managed services with limited cloud software images or SaaS

Experience level:

Beginner

A Java Developer's Survival Guide for the Cloud (sponsored by Red Hat)

Shaaf Syed (Redhat)

Before embarking on a cloud-native application development journey, you must be equipped with the knowledge, tools, and frameworks to succeed. This survival guide contains everything you need to build, deploy, and support cloud-native Java applications from data centers to the cloud to the edge.

The survival guide contains architectural patterns, developer productivity tools, use cases (IoT Edge, Automotive), and critical open source communities such as Eclipse Termurin, MicroProfile, and Vert.x

Experience level:

Beginner

Java

Best practices for Human Mobility and Real-time Machine Learning

Fawaz Ghali (Hazelcast)

The applications of real-time machine learning on human mobility data continue to grow, thanks to the increase in digital mobility data, such as phone records, GPS traces, and social media posts. This has led to exponential growth in areas such as next location prediction, crowd flow, trajectory generation, flow generation, disease spreading, urban projection, and well-being.

Experience level:

Intermediate

Automotive & Mobility

Proactive approach to boost application performance with ML

Chandrakala Subramanyam

Kusuma Chalasani (Red Hat India)

Rashmi Badagandi (Red Hat India Pvt.Ltd)

With the Cloud buzz all around us, whether deploying microservices or traditional applications, scaling applications, going serverless and more, there are challenges to be solved at all layers (Hardware, Container, Runtime, App Server, Application). And it is important to tune each layer to achieve improved performance with cost benefits

In this talk, we will walk you through:

Experience level:

Beginner

Hypercube - Service Orchestration

Sebastian Lang (T-Systems International GmbH)

Increasing uncertainties are negatively shaping the OEM business. The era of hardware is ending and the software era is flourishing.

Vision: Cloud services are the key to react faster to changing market and customer demand, with better resource distribution for a more sustainable and effective execution of applications and software on hardware.

Experience level:

Intermediate

Automotive & Mobility