Cloud Native Java Deployment Platform

Effortless Cloud and On-Premise Java Deployment – Upload. Deploy. Run.

Payara Qube interface or workflow diagram

Payara Qube and Payara Cloud enable automated, secure, and scaled Java microservices—across any framework

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Reduce Deployment Complexity

Abstract away the intricacies of Kubernetes and infrastructure setup

Accelerate Time-to-Market

Streamline workflows so your team can deliver and scale Java applications faster

Enhance Reliability and Consistency

Ensure high availability, disaster recovery, and error-free deployments for mission-critical workloads.

Lower Operational Costs

Cut infrastructure overhead and manual effort for greater efficiency and savings

Simplify Cloud Modernization and Microservices Adoption

Seamlessly migrate, manage, and scale Java microservices—cloud-native or legacy.

Exclusively Java

Purpose-built for Java— Supporting diverse Java frameworks and deployment models

Supports multiple Java application frameworks (Jakarta EE, Spring, Quarkus)
Microservices deployment capabilities
Supports multiple cloud vendors
Fully managed and automated platform
Framework and provider-agnostic configuration and deployment
Built in real-time analytics and monitoring dashboards with alerts
Elastic – Scaling based on demand
Built-in Security – Authentication and access management, certifications, environment
Built-In Compliance – Meet evolving legal and industry standards by design
Zero-maintenance
Self Service

Accelerate Modern Java Development with These Benefits

Reduces deployment complexity
Supports modernization efforts through automation, microservices and framework flexibility
Ensures consistency and reliability in application deployment across frameworks, cloud providers and environments
Enhances security posture out-of-the-box, reducing the need for third-party tools
Improves performance and maintenance with integrated monitoring and diagnostics
High availability and resilience
Fits within your budget thanks to transparent, flexible pricing

One Technology

Different Deployment Options

User Installable
Ensure Data Sovereignty – full control over sensitive data with on-premise deployments
Flexible enterprise billing options

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All-in-one PaaS solution
Deploy to hosted Cloud regions
Deploy to Private Cloud regions on your own account
Hybrid and multi-cloud option

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Testimonials

Ivar Grimstad is a Java Champion & Developer Advocate for Jakarta EE at the Eclipse Foundation. He was an early tester of Payara Cloud and gives his testimonial in this video.

He says:
“There aren’t many comparable products like Payara Cloud out there today. Payara Cloud is simpler. It’s easier. And, it’s just straightforward to use for developers!”

Java expert Adam Bien tried out Payara Cloud and said:

“What I really like about this approach is, we have Helidon, Quarkus. They try to shift the deployment to the build time. Payara Cloud is completely different. It uses what application servers do the best: the separation of the infrastructure from the business logic.”

It is more simple than AWS Lambda, if you already know Jakarta EE
It uses what application servers do the best: the separation of the infrastructure from the business logic. I can create just the business logic and push it to the cloud, and not care about the servers.
If you compare Payara Cloud to a blank, “vanilla” cloud, it is hugely productive. I created CI/CD pipelines and the build alone in two and half minutes.

Market Trends: Why Modernize Java Applications Now?

2024 K8s Benchmark Report The Latest Trends in Workload Reliability

Enterprise Modernization is Accelerating
According to the Turbonomic State of Multicloud Report (2020–2022):

43% of enterprises are migrating to the cloud
24% are moving to containers
25% are refactoring applications for cloud-native architectures

Java applications are central to enterprise systems — and require platforms that support modernization without disruption.

Kubernetes Adoption Highlights Challenges with Efficiency and Reliability

From the 2024 Kubernetes Benchmark Report by Fairwinds (based on over 330,000 workloads):

65% of organizations are missing liveness and readiness probes, impacting overall application reliability
37% of workloads are over-provisioned and need container rightsizing for better cost efficiency
More than 50% of organizations use Horizontal Pod Autoscaling (HPA), yet many workloads still underutilize allocated CPU and memory

Ready to modernize your Java applications?

Payara Qube

Deploy and scale Java apps on Kubernetes—without writing a single YAML file.

Payara Cloud

Effortlessly run your Jakarta EE applications in the cloud with zero server management.

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Request a Demo or Book a Call

Want to see it in action? Book a call or request a demo with our team to explore your use case.