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Luxury German Vehicle Manufacturer Migrates from GlassFish to Payara Server
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The Payara Platform is cloud-native, optimized for production environments, and can be deployed in any environment: on cloud, on-premises, or hybrid. It’s designed with support for major cloud platforms, ensuring the Payara Platform is compatible with the services you’re already using, including Microsoft Azure, Amazon AWS, and the Google Cloud Platform.
We also have our own cloud platform. Payara Cloud is a “serverless” runtime that runs and scales Jakarta EE/MicroProfile applications seamlessly while managing all the cloud infrastructure for you. It offers a flexible and powerful way to easily run your Jakarta EE apps on the cloud. Simply select your WAR, click deploy, and watch your apps run on the cloud – automatically, like magic.
Payara Cloud
The Payara Platform is ideal for running applications in the cloud, whether you need to move existing Java EE applications into the cloud or you’re looking to build new, cloud-native Jakarta EE applications on public cloud.
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Learn about the cloud-native features for managing and operating the Payara Platform on cloud including support for the major cloud platforms you’re already using: Microsoft Azure, Amazon AWS, and the Google Cloud Platform.
When you want to take advantage of the cloud to improve your business, but you’re worried about moving existing Java EE applications –the Payara Platform offers a strategy to minimize expense and disruption to your business operations. Leverage your existing developer’s skillset and move to the cloud with Payara Platform integrations.
Users of Microsoft Azure can pick and choose from the available services to develop or scale new applications or run existing applications in the cloud. Download our datasheet to learn more about the capabilities of running the Payara Platform on Azure.
Microsoft Azure is ideal for creating traditional Payara Platform domain deployments where existing applications are migrated to the cloud. Learn about running your application on Microsoft Azure and Payara Platform using Infrastructure as a Service (IaaS).
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Article by Abhishek Gupta, Cloud Developer Advocate at Microsoft
Walk through one of the options of running Java EE applications on Azure. This is the most basic approach for deploying a Java EE app to Payara Server set up in a Virtual Machine on Microsoft Azure along with the Azure Database for PostgreSQL service as the backend database.
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Watch a video to create a simple distributable application, use Payara’s Remote CDI events, deploy the application on AWS and provision an elastic deployment on Amazon AWS with Payara Server and Payara Micro.
Watch video to learn how to provision infrastructure for elastic clustering with Payara Micro on Amazon AWS.
In the final video of the Demo, watch the elastic deployment on Amazon AWS with Payara Server and Payara Micro.
Using Payara Platform with Jelastic Saves Time and Money
Jelastic is not immediately the name that comes up when you have a cloud provider in mind. But using Payara Platform with the Jelastic PAAS solution allows you to perform all the typical tasks that you expect:
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Reduce Complexity with Middleware as a Service
As a Platform as a Service, or PaaS, Platform.sh automatically manages everything your application needs in order to run.
In this guide:
Ready to find out how easy it is to migrate your applications to the cloud using Payara Platform?
Download all available resources in a zipped file here.
Cloud and Payara Platform Resource Bundle includes:
Cloud adoption has transformed how developers build and scale applications, but it also brings new challenges in controlling costs. As cloud bills grow alongside usage, designing cost-efficient cloud architectures becomes essential for developers, DevOps specialists, architects and team leaders. This post explores key strategies for optimizing cloud expenditure and align it with actual needs without incurring cloud wastage spend.
Kubernetes, also known as K8s, has become the de facto platform for orchestrating modern microservices architectures, promising resilience, scalability and faster deployment pipelines for Java applications. But for many developers, that promise often hides a thorny reality: Kubernetes is powerful—but also painfully complex.
Cloud computing has transformed how enterprises deploy and manage applications. A cloud server provides an on-demand, scalable infrastructure that enables businesses to launch services without heavy upfront investments in hardware. Whether used for hosting, data management, or large-scale application deployment, cloud servers are now integral to modern IT ecosystems. This is especially true for Java EE and Jakarta EE applications, where cloud-native environments based on cloud application servers deliver agility, resilience, and cost-efficiency. In this blog, we look at what cloud application servers are, how they work, key benefits, use cases and real-world applications.
The Java ecosystem is rapidly evolving, and we'd love to hear how you and your team are approaching this transformation. We’re running a short industry survey to understand how Java teams are modernizing today, what tools and runtimes they rely on, and where platform engineering fits into their journey.
Multi-cloud developments can offer real operational advantages. However, careful and strategic planning is key to maximize the gains. In fact, without clear operating models or setups, teams can experience costly missteps and cloud spent wastage. At Payara Services, we work closely with organizations deploying mission-critical enterprise Java applications across hybrid and multi-cloud environments. As a result, our engineering team has been actively engaged in helping companies succeed in their multi-cloud strategies, and we know first-hand what works best as well as common pitfalls. In this blog post, we look at what multi-cloud is and share key insights and tips to optimize your multi-cloud projects.
As more and more organizations embrace the cloud, Platform as a Service (PaaS) solutions for application deployment and management are becoming more popular among development and DevOps teams. The promise of faster deployments, simpler maintenance, and more time for innovation is hard to ignore for teams of any size. But what are professionals really saying about PaaS and how can you make the most of it for your next project? We dug through candid insights from engineers, CTOs and founders and summarized our key findings in this blog post.
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