Red Hat OpenShift and Oracle Cloud Infrastructure compete in the cloud platform category, with a focus on supporting enterprise needs. Red Hat OpenShift appears to have the upper hand in CI/CD and security features, while Oracle Cloud Infrastructure stands out for database services and integration with the Oracle ecosystem.
Features: Red Hat OpenShift offers outstanding CI/CD capabilities and security features tailored for complex DevOps operations. It integrates with Jenkins for seamless automation and provides a robust application management system. Container customization, though, can be challenging. Oracle Cloud Infrastructure provides extensive database services that support both legacy and modern applications with strong performance and high availability. Its seamless integration with the Oracle ecosystem appeals to existing Oracle users, enhancing flexibility in application hosting.
Room for Improvement: OpenShift needs improvement in documentation complexity and scaling, which can disrupt smooth operations. Enhanced support and improved integration with public clouds could strengthen its offering. Oracle Cloud Infrastructure requires more hands-on documentation and faces licensing complexities that may deter users. Enhancing its multi-cloud capabilities and addressing latency concerns could boost its competitiveness.
Ease of Deployment and Customer Service: Red Hat OpenShift provides diverse deployment options across various environments, but demands deep technical knowledge. Its technical support is decent but may be slow in resolving complex issues. Oracle Cloud Infrastructure is praised for its straightforward deployment within Oracle environments but faces criticism for its less responsive support compared to competitors, indicating room for improvement in service and customer interaction.
Pricing and ROI: Red Hat OpenShift's pricing can be steep, especially for enterprise solutions, yet it offers a good ROI due to robust features and scalability. Oracle Cloud Infrastructure offers competitive pricing, often lower than other major cloud platforms, noted for cost-effectiveness in enterprise settings. Both solutions offer promising ROI, with OpenShift reducing project onboarding time and OCI presenting attractive licensing models suitable for various enterprise needs.
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.
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
It is always advisable to get the bare minimum that you need, and then add more when necessary.
Oracle support is very friendly and provided free of cost.
Red Hat's technical support is responsive and effective.
I have been pretty happy in the past with getting support from Red Hat.
Red Hat's technical support is good, and I would rate it a nine out of ten.
There are no issues with Oracle Cloud Infrastructure's support for scalability demands.
The on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
I've had my cluster running for over four years.
It performs well under load, providing the desired output.
AWS services typically offer more flexibility to end users.
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
Red Hat OpenShift's biggest disadvantage is they do not provide any private cloud setup where we can host on our site using their services.
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
A 50% cost reduction compared to AWS was estimated.
Initially, licensing was per CPU, with a memory cap, but the price has doubled, making it difficult to justify for clients with smaller compute needs.
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
The cost of OpenShift is very high, particularly with the OpenShift Plus package, which includes many products and services.
Applications using Oracle Database not only work seamlessly on Oracle Cloud Infrastructure (OCI) but also benefit from a 25% offset on Oracle Database licenses.
Because it was centrally managed in our company, many metrics that we had to write code for were available out of the box, including utilization, CPU utilization, memory, and similar metrics.
The concept of containers and scaling on demand is a feature I appreciate the most about Red Hat OpenShift.
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
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Red Hat OpenShift offers a robust, scalable platform with strong security and automation, suitable for container orchestration, application deployment, and microservices architecture.
Designed to modernize applications by transitioning from legacy systems to cloud-native environments, Red Hat OpenShift provides powerful CI/CD integration and Kubernetes compatibility. Its security features, multi-cloud support, and source-to-image functionality enhance deployment flexibility. While the GUI offers user-friendly navigation, users benefit from its cloud-agnostic nature and efficient lifecycle management. However, improvements are needed in documentation, configuration complexity, and integration with third-party platforms. Pricing and high resource demands can also be challenging for wider adoption.
What are the key features of Red Hat OpenShift?Red Hat OpenShift is strategically implemented for diverse industries focusing on container orchestration and application modernization. Organizations leverage it for migrating applications to cloud-native environments and managing CI/CD pipelines. Its functionality facilitates efficient resource management and microservices architecture adoption, supporting enterprise-level DevOps practices. Users employ it across cloud and on-premises platforms to drive performance improvements.
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