Posts tagged Payara Cloud (2)

Reassessing Native Compilation for Jakarta EE Applications – A Pragmatic Perspective

Java’s Ahead-of-Time (AOT) native compilation, as seen in frameworks like GraalVM, boasts rapid startup times and lower memory usage. However, for Jakarta EE application developers, the practical benefits of these advantages often don’t translate into substantial economic or technical gains. This leads to questioning the viability of investing resources into adapting existing Jakarta EE applications for GraalVM compatibility.

Download the Guide - Reassessing Native Compilation for Jakarta EE Applications: A Pragmatic Perspective

Automated Jakarta EE Cloud Deployments With GitHub Actions And Payara Cloud

Cloud deployment refers to the process of hosting applications on a remote server infrastructure, accessible over the internet. This paradigm has revolutionised software development, offering immense scalability, flexibility, and efficiency. Traditional deployment methods have evolved to embrace modern cloud environments, ranging from Infrastructure-as-a-Service (IaaS), where you manage servers but not physical hardware, to Platform-as-a-Service (PaaS) and Software-as-a Service (SaaS) solutions, which abstract much of the server management and maintenance tasks.

Download the Guide - Automated Jakarta EE Cloud Deployments With GitHub Actions And Payara Cloud

Four Steps To Jakarta EE Cloud Deployment With Payara Cloud

Deploying Jakarta EE applications to the cloud can be a complex task if you are using traditional deployment options like containers, Kubernetes or other such options, but not with Payara Cloud. Uploading a Jakarta EE binary artefact (.war file) and deploying it to the cloud can be achieved in four straightforward steps. They are:

Watch the Recording: Assessing Jakarta EE Cloud Deployment Options in a Cloud Native Era

Are you a Jakarta EE Developer? Are you looking to level up your cloud deployment? You have options! 

In this technical webinar, our expert Luqman Saeed talks you through 3 key options for your cloud deployment with Jakarta EE:

☁️Docker Containers to Azure Web Apps
☁️Jakarta Runtime installation on a virtual machine and app deployment
☁️Fully managed Jakarta EE cloud deployment runtimes

This is also a great webinar if you are curious about Payara Cloud as we are also discussing many different cloud deployment options- if you have heard about our new fully managed cloud native application runtime for Jakarta EE, this your chance to see exactly how it works. 

Try Payara Cloud for Free! No More Training Developers in Kubernetes...

Payara Cloud is our fully-managed cloud native application runtime. 

Unlike building an application server deployment on a Cloud Infrastructure as a Service or on raw Kubernetes, Payara Cloud takes care of provisioning infrastructure, installation, configuration, deployment and scaling of your application. Any web application following the Jakarta Web Profile specification can be uploaded and it will run in a containerized Payara Micro instance.

What’s New in Jakarta REST 3.1 in Jakarta EE 10?

The Representational State Transfer or RESTful architecture is a stateless, HTTP based communication standard for modern applications. It was originally proposed by Dr. Roy Fielding in hisPhD thesis. It has, over the years, become the default, programming language-agnostic means of enabling machine-to-machine communication. An application written in the Django framework in Python can have REST resources that are consumed by another application written in Java with Jakarta EE. Similarly, a Jakarta EE application can create resources that can be consumed by a C# application.  

Deploying to Payara Cloud from a GitHub Action Workflow

Payara Cloud provides an easy-to-use user interface to allow your application to run in a managed cloud environment. While this is very convenient for configuration and troubleshooting work, integration in continuous deployment pipelines calls for something else. Our answer is deploying to Payara Cloud using a GitHub Action Workflow and Payara Cloud Command Line (PCL).