Oracle Java Cloud Service and Red Hat OpenShift are both strong contenders in cloud application deployment. Red Hat OpenShift has the upper hand due to its Kubernetes-based flexible container orchestration capabilities, making it ideal for scalability and microservices.
Features: Oracle Java Cloud Service seamlessly integrates with Oracle's databases and enterprise applications, creating a unified environment for Java solutions. It notably supports on-premise application development using popular IDEs and boasts easy middleware platform deployment. Red Hat OpenShift is valued for its automation and containerization features, customization with Kubernetes, and fast application deployment using source-to-image conversion.
Room for Improvement: Oracle Java Cloud Service could improve scalability and flexibility outside Oracle's ecosystem, ease integration with non-Oracle tools, and enhance native support for containers. Red Hat OpenShift might benefit from more straightforward deployment processes, less complexity in managing Kubernetes, and improved out-of-the-box performance monitoring tools.
Ease of Deployment and Customer Service: Oracle Java Cloud Service offers straightforward setup, tapping into Oracle's extensive support channels, favorably fitting existing Oracle users. Red Hat OpenShift, while more complex to deploy because of Kubernetes architecture, provides robust support for containerized applications helping organizations committed to DevOps and microservices architectures.
Pricing and ROI: Oracle Java Cloud Service generally involves a higher setup cost aligned with its premium enterprise focus, yet it offers good ROI for Oracle users through optimized enterprise integrations. Red Hat OpenShift offers a flexible pricing model potentially leading to lower upfront costs, with long-term savings from operational efficiency gains in container-driven strategies.
With OpenShift combined with IBM Cloud App integration, I can spin an integration server in a second as compared to traditional methods, which could take days or weeks.
We have dealt with many cases with Red Hat support, and while they eventually solve issues, it sometimes takes them a long time to reach a resolution, particularly with complex matters related to IBM Cloud.
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
The cost of OpenShift is very high, particularly with the OpenShift Plus package, which includes many products and services.
Oracle Java Cloud Service is a complete platform and infrastructure cloud solution for building, deploying, and managing Java EE applications. Use Oracle Java Cloud Service to rapidly provision an application environment with Oracle WebLogic Server as the application container, Oracle Coherence as a caching and data grid tier, and Oracle Traffic Director as the software load balancer—all on top of infrastructure provided by Oracle Compute Cloud Service.
For more information on Oracle Java Cloud Service, visit Oracle.com
OpenShift is Red Hat's Kubernetes platform that provides a cloud environment for development, hosting, and scaling applications. The solution enables a cloud-like experience regardless of the location where it has been deployed, including in the cloud, on premises, or at the edge. It allows developers to select where to build, deploy, and run applications through a consistent experience, supported by full-stack automated operations, and self-service provisioning.
OpenShift employs an open hybrid cloud strategy which is built on the foundation of technologies including Linux, containers, and automation. This approach provides clients with a flexible selection of where to run their applications. Applications can be built on Red Hat Enterprise Linux and are automatically compatible with Red Hat Ansible Automation Platform. OpenShift enables automation inside and outside clients' Kubernetes clusters.
The solution works with traditional, modernized, and cloud-native applications. It supports a wide variety of workloads, including Java, artificial intelligence and machine learning (AI/ML), and databases. Due to the vast ecosystem of technology partners that OpenShift supports, clients can benefit from automated deployment and life-cycle management. This product improves the security of the full application life cycle by decreasing operational risk. This is achieved by shifting security left and automating development, security, and operations (DevSecOps).
OpenShift Features
OpenShift facilitates clients’ application-running processes through various features. Some of the product’s features include:
OpenShift Benefits
OpenShift provides the companies and users utilizing it with various benefits. These benefits include the following:
Reviews from Real Users
An executive head of department - M-PESA Tech at a comms service provider gives OpenShift a high rating because its automation can go a long way in reducing time to market and the time required to fix issues that arise from deployment.
Vikram C., head of infrastructure & cloud ops at a comms service provider, rates highly three qualities of OpenShift, summarizing them to mature, seamless integration, and easy setup.
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