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

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

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:

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. 

Wondering which cloud deployment option to use for your Jakarta EE application? 

Look no further than our latest guide, published today! 

Payara in the Press! Steve Millidge, our CEO and Founder, was interviewed by Hosting Advice about our new product, Payara Cloud.   

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.  

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). 

Java EE, now Jakarta EE, makes it possible for developers to focus purely on the development of a Java enterprise application, solving the business logic without needing to think about infrastructure and operations when writing code. Payara Cloud extends this philosophy by also eliminating the need to worry about infrastructure and operations when preparing your application to run in the cloud. Together, Jakarta EE and Payara Cloud let you focus on writing code and delivering solutions to business challenges from the moment you write your first piece of code to the day people are using your application successfully on the cloud.

We are currently offering limited free previews of Payara Cloud to businesses - follow the link below: