Create digital sovereign container platforms with SCS ClusterStacks
See how to create standardized Kubernetes-clusters to provide a digital sovereign container layer using SCS ClusterStacks
See how to create standardized Kubernetes-clusters to provide a digital sovereign container layer using SCS ClusterStacks
<p>When you run your cloud native Java applications which use Jakarta EE and/or MicroProfile technologies,<br />
it makes sense to use container platform such as Docker or Kubernetes.<br />
However, there are some pitfalls on running Java applications on containers,<br />
especially when you migrate your Java applications from on-premises to containers.<br />
Unless you provide the proper settings for both Java applications and containers,<br />
Are you a Java developer? Do you deploy or plan to deploy your applications on Kubernetes? Do you hate YAML?
If you answered yes to all of these questions or if you’re interested in learning how to streamline your Kubernetes deployment operations and Helm-related processes you shouldn’t miss this session.
In this demo-based talk, I'll give an overview of JKube and its plugins for those who still don't know what JKube is. Next, I’ll showcase how you can leverage the Kubernetes plugins to generate and publish Helm charts for your application with different scenarios.
This session will focus on how the Eclipse Tractus-X project addresses the unique challenges presented by the deployment of Catena-X. In particular, it will be outlined how the Tractus-X project leverages Helm charts for packaging and templating complex deployments on Kubernetes.
Streamlining and simplifying the deployment process is crucial, especially when it comes to a data space involving various components entailing a wide range of technology requirements.
There are several key techniques to understand while using Kubernetes with Java EE, Jakarta EE and MicroProfile applications. Examples include:
Edge Computing is about distributing computational power and data storage wherever needed. From a developer's perspective, the whole point is to bring cloud-native tools and techniques outside the data center. Naturally, this includes Kubernetes. But is Kubernetes needed on the Edge? Or rather, do *you* need Kubernetes for your project? Many of the leading Edge platforms available right now can orchestrate applications and services independently. Others, however, integrate with Kubernetes or are directly based on it. Which one is the right approach for you?
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
Automotive industry is currently preforming a radical change from mechanical cars with E/E components towards Software Defined Vehicles. One mayor change and challenge is the shift to constant software evolution over the complete lifecycle of a vehicle, starting with vehicle platform design till taking cars to the scrap yard. DevOps principles and mindset are an important enabler for providing constant updates on vehicle software. On the other side, we see also a seamlessly integrated development environment tool chain, e.g.
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: