Posts tagged Cloud (2)
Try Payara Cloud for Free! No More Training Developers in Kubernetes...
Published on 10 Aug 2023
by Priya Khaira-Hanks
Topics:
Cloud,
MicroProfile,
JakartaEE,
Payara Cloud,
Jakarta EE
|
0 Comments
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.
New Guide: A Business Guide To Cloud Deployment Options For Jakarta EE Applications
Published on 02 Feb 2023
by Priya Khaira-Hanks
Topics:
Java EE,
Cloud,
JakartaEE,
Payara Cloud,
Jakarta EE
|
0 Comments
Simplify Jakarta EE in the Cloud!
Published on 12 Dec 2022
by Priya Khaira-Hanks
Topics:
Java EE,
Cloud,
MicroProfile,
JakartaEE,
Payara Cloud
|
0 Comments
Deploying to Payara Cloud from a GitHub Action Workflow
Published on 05 Sep 2022
by Patrik Duditš
Topics:
CLI,
Cloud,
Cloud-native,
Payara Cloud,
Getting Started with Payara Cloud
|
0 Comments
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).
Easy Jakarta EE Integration Testing with the Payara Platform and Testcontainers
Published on 24 Mar 2022
by Fabio Turizo
Topics:
Docker,
How-to,
Cloud,
JakartaEE
|
0 Comments
One major issue when developing modern enterprise applications is the "works on my machine" problem: when an application works well on your machine but is not functional in production or even on a colleague's machine. An even more prevalent problem is to maintain the quality of ever-changing applications during development and maintenance.
This is especially prevalent when Jakarta EE applications are developed and not properly tested in an isolated and cohesive manner. Proper integration testing helps to avoid both the "works on my machine" problem, and ensures developers can change the application effectively without breaking it. However often teams struggle with it, due to a lack of standardized testing solutions and the unpredictability of real-world conditions.
Here, I present an effective method for Jakarta EE integration testing, using Payara Platform and Testcontainers in my example.
Hype-Driven Development: Don't Be a Victim!
Published on 21 Dec 2021
by Priya Khaira-Hanks
Topics:
Java EE,
Cloud,
DevOps,
JakartaEE
|
0 Comments
Why Use Alibaba Cloud with Payara Platform?
Published on 05 Aug 2021
by Rudy De Busscher
Topics:
Cloud,
Alibaba Cloud
|
0 Comments
We are all familiar with Microsoft Azure, Google's GCP, or Amazon's AWS platform for running applications in a public cloud. But there are also other, lesser-known platforms like Alibaba Cloud. And while many don't know this platform, it is by far the largest one in the Asia Pacific region and even the third largest cloud provider worldwide. Alibaba Cloud has some interesting features.
In this blog, we explore some aspects of the platform and how it can be used with the Payara Platform.
Adam Bien: Overview of Next Generation Cloud Java Runtimes (Video)
Published on 22 Jul 2021
by Priya Khaira-Hanks
Topics:
Cloud,
Payara Cloud
|
0 Comments
As part of Closed Beta testing, we offeredJakarta EEexpert, Java Champion,bloggerand podcaster,Adam Biena trial of our next-generation cloud-native application runtime, Payara Cloud.
He went on to discuss Payara Cloud as an alternative to HelidonandQuarkus; a 'serverless server'. He included it in hisMid-Year 2021 Observations and Reflectionsand created a video with hisinitial thoughts. Read our previous blog, rounding up his comments so far,here.
At theJ4Kconference this year, he went into further detail. He told viewers:“I really like the idea [of Payara Cloud]. Why? Because it is the opposite of where everyone is going with smaller and smaller runtimes, you can go that route or another route.” You can now view the video of this talk to watch him demonstrate Payara Cloud live and see how he reached this conclusion.
Watch Adam Bien Trial Payara Cloud! (Video)
Published on 24 Jun 2021
by Priya Khaira-Hanks
Topics:
Cloud,
Payara Cloud
|
1 Comment
Adam Bien is a well-known expert in the world ofJakarta EE. He is a freelancer, author, Java Champion andblogger, providing resources and training materials, and is host of theAirHacks.FM podcast - where he regularly talks to the leading experts in the Java and Jakarta EE community, with recent guests including PayaransLenny PrimakandRudy De Busscher.
As a long time user of the Payara Platform - regularlyrecommending it as a solution to GlassFish problems - we were keen to offer him a trial ofPayara Cloud, our next generation of cloud-native application runtime. Payara Cloud offers an easier way to run Jakarta EE apps on the cloud, allowing you to simply select your war, click deploy, and watch your apps run - automatically, like magic!
As part of our Payara Cloud Closed Beta testing, we offered him a trial of the software. He created a concise video showing his experience using serverless MicroProfile and Jakarta EE on Payara Cloud. Watch it now to find out what his first thoughts were in his own words.
Cloud Myth: Ahead of Time Compilation Will Save You Money
Published on 16 Dec 2020
by Steve Millidge
Topics:
Microservices,
Cloud,
Payara Cloud
|
0 Comments
There is a lot of interest in the server-side Java community around using ahead of time (AOT) native compilation provided by Graal Substrate VM to drive down memory usage and cold start times of Java microservices. While these frameworks are technically interesting, the claim is if you spend time rewriting your Jakarta EE applications to utilise these new frameworks, then you will substantially reduce your cloud operational costs. First, by enabling the adoption of a serverless deployment model and second by reducing your containers' memory usage.