How does one choose to architect a system that has a Microservice / REST API endpoints? There are many solutions out there. Some are better than others. Should state be held in a server side component, or externally? Generally we are told this is not a good practice for a Cloud Native system, when the 12-factor guidelines seem to be all about stateless containers, but is it?
Processing data in the field and edge is beneficial for many use cases. like the collection and analysis of sensor values as it is required for many AIoT applications. Leaving the controlled environment of data centers adds various and recurring challenges for operating the computing devices. With this talk, we show how we manage the execution of applications on the edge by using and deploying Eclipse IoT Packages for and on the edge.
Kubernetes is increasingly becoming the de facto standard to deploy not only Microservices or distributed applications, but any kind of runtime.
This means that as Java developers we have also an increasing responsibility to containerize our application and learn how to deploy it to a cluster. So now, we need to deal with and maintain additional resources such as Dockerfiles, Kubernetes configuration manifests, etc.
Kubernetes has established itself as the industry standard for managing containers(and their lifecycles), but there is still not much content on the web about how to write applications that interact with Kubernetes APIs. If there is, it's mostly in GoLang. Since Kubernetes exposes most of its operations via REST API, all of this stuff can be easily done in Java using Fabric8 Kubernetes Client.
With many new terminologies, tools, frameworks being developed every other day, it is getting difficult for developers to keep track and know exactly what they mean or relate it back to their organization or project they are currently working on.
I am going to present a guide that can bundle most of these popular terms under a similar umbrella in this presentation and explain it in short either via real-world example or simple code snippets.
Kubernetes enables possibilities to develop cloud native microservices or decompose traditional applications making them more technologically advanced with the help of containers. Currently, most of the Kubernetes solutions are offered on top of VMs and there is a room for further improvements. Implementing nested architecture of application containers running inside system containers opens additional flexibility of resource allocation and management, accelerates provisioning of the clusters and pods, as well as cuts the overall costs.
There are several key techniques to understand while using Kubernetes with Java EE, Jakarta EE and MicroProfile applications. Examples include:
In this presentation you'll learn how to quickly and easily build and deploy your Java application on the cloud using Eclipse JKube.
The presentation will show how standard Java applications using a variety of Frameworks can be easily deployed into Kubernetes and OpenShift clusters with very little configuration and a very smooth and seamless user experience.
Are you interested in deploying your own Eclipse Che, a cloud-native IDE, inside your company's network? Do you want to learn about different ways of deployment, from running Che on personal laptop to deployment to Virtual Private Cloud? Join our session, where we'll describe our experience with providing an Eclipse Che environment with Mainframe connectivity to our developers.
The Eclipse IoT Packages project hosts pre-configured packages of Eclipse IoT projects in the form of Helm charts. Re-using the provided Helm charts allows developers and operators to focus more on their actual domain and use cases instead of dealing with every detail of the various used technologies.
The talk will first introduce the Eclipse IoT Packages project and afterward reflect on our experiences collected during the integration of the Eclipse IoT Packages project into our deployment in two projects and summarizes the improvements we observed after our migration.
