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Kubernetes allows you to automate the deployment, scaling, and operations of application containers across clusters of hosts. It’s a management tool used to maintain and track a lot of Docker Containers. Kubernetes also handles all kinds of clouds, virtual machines, and physical machines in a uniform way to make it easy to deploy your application to any of them or even a combination deployment on clouds, virtual machines, and/or physical machines. It is also possible to use Kubernetes while running your application using Payara Micro.
Check out the following resources to learn more about using the Payara Platform with Kubernetes.
The Payara Platform is designed as a cloud-native open source server runtime, with container-friendly features built-in. In this datasheet you’ll learn why you should use containers and the container-friendly features of Payara Platform and how to improve portability of your applications.
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This guide explains the basic concepts of Kubernetes, how you can interact with the Kubernetes Cluster using the kubectl program and how you can run your application using Payara Micro.
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This guide will take you through more advanced Kubernetes concepts and show you how to scale and cluster an application with Payara Micro on Kubernetes.
Learn how to create a new Kubernetes cluster in Amazon Web Services and to set up a deployment using a sample WAR application running on Payara Micro.
This guide shows you how to create a new Kubernetes cluster in Microsoft Azure and to set up a deployment using a sample WAR application running on Payara Micro.
Within this book, you will be guided through setting up and your first explorations of the Kubernetes API within a plain Java program. We explore the concepts of resource listeners, programmatic creation of deployments and services and how this can be used for your custom requirements.
Learn how to run an application with Payara Micro on a Kubernetes Cluster. We’ll use a simple war application packaged in a Docker container and prepare it to run on a Kubernetes cluster.
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Learn how to scale and cluster an application with Payara Micro on Kubernetes. With a demo application we’ll show you how to scale to multiple instances.
In this video, learn how to provision a Kubernetes cluster in AWS via EKS, prepare a Payara Micro Kubernetes-ready Docker image, and provision a Payara Micro deployment in the cluster.
In this video, learn how to run a Payara Micro application on a Kubernetes cluster with the Azure platform.
Containers and the Payara PlatformHow to Migrate to the Payara Platform
Running traditional Java applications in Kubernetes environments can be a complex challenge. From runtime configuration issues to memory management mismatches, many Java workloads aren’t designed with containers in mind. On top of that, adapting familiar Java development tools and practices to the cloud-native world can be a steep learning curve for teams. In this webinar (REGISTER HERE), we'll explore how Payara is using Platform Engineering to simplify this transition.
Almost any developer looking to leverage containers turns to Kubernetes (K8s) for orchestration. However, with its complexity comes security risks, particularly misconfigurations, which remain one of the most critical attack vectors in cloud-native environments. In effect, K8s misconfigurations can lead to data breaches, privilege escalations and service disruptions. This blog examines key technical security challenges associated with K8s and demonstrates how to mitigate these risks through platform engineering.
Start-ups are hotbeds of innovation, where speed, agility and resourcefulness are key to success. But in the world of enterprise Java applications, managing complex cloud deployment infrastructure can quickly become a bottleneck and take up considerable time from your developers. To address these issues and streamline cloud deployments, we created Payara Cloud.
Kubernetes is a topic that is frequently discussed in the development community, especially as the IT landscape increasingly shifts towards cloud and microservices. However, it’s crucial to evaluate whether it is genuinely indispensable for your environment or just another case of the next 'new and shiny' object capturing attention without substantial benefits. In this blog, we’ll delve into the reasons why Kubernetes might sometimes fall victim to the hype and explore whether it is the right fit for all scenarios.
These days, it seems Kubernetes is a topic that is never too far from people's lips. The tool, and the associated tools built around it, are talked about so often it seems it's the only subject important to developers these days - especially as the IT world becomes increasingly orientated towards cloud and microservices. But in spite of all the conversation around Kubernetes... do you really need Kubernetes for your environment? Or is it just another case of the next 'new and shiny' object, with people distracted by the novelty and possibility, rather than the facts? In this blog, I'll take a closer look at why Kubernetes might be a case of the hype outweighing the helpfulness in most cases.
In this day and age, securing enterprise platforms is a challenge that developers and consultants tackle in an uninformed manner, producing subpar solutions in most cases. To combat this pattern, third-party security services such as Auth0 have been devised to externalize the security of services, and they focus on stable implementations of common enterprise use cases (identity management, OAuth compatibility, and so on), and platforms such as Eclipse MicroProfile allow for their easy integration with enterprise Java microservices. Moreover, in combination with Kubernetes, MicroProfile is a very powerful tool to simplify securing microservices, monitoring them and creating reproducible deployments.
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