Red Hat OpenShift and Azure Stack are leading solutions in the hybrid cloud and containerization space. While both platforms offer strong features, OpenShift's emphasis on container orchestration and security gives it an edge over Azure Stack.
Features: OpenShift provides robust containerization, strong security features, and seamless CI/CD integration, making it ideal for DevOps teams. It offers flexibility across multi-cloud environments and supports numerous programming languages. Azure Stack stands out with integrated Microsoft tools, allowing easy cloud transitions, beneficial for hybrid and on-premises setups.
Room for Improvement: OpenShift users often seek better documentation, easier configuration processes, and improved support for scaling and legacy applications. Azure Stack users highlight networking complexities, pricing adjustments, and the need for enhanced third-party service integration. Both can improve integrations and user experience; however, Azure Stack's networking challenges are particularly noted.
Ease of Deployment and Customer Service: OpenShift deployment, especially on-premises, requires significant expertise and receives mixed customer support reviews. Azure Stack, recognized for hybrid capabilities, offers flexible deployment options but also demands technical knowledge. Microsoft’s extensive support network aids thorough assistance, though response times can vary.
Pricing and ROI: OpenShift is considered expensive with premium support but offers substantial ROI through scalability and reduced time to market. Its open-source version is cost-effective for development. Azure Stack offers subscription-based pricing and benefits from integration with Microsoft's suite. Its pay-as-you-go model adds value, particularly for businesses entrenched in Microsoft's ecosystem.
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
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.
As a Microsoft partner, we have access to level two technical support, which is efficient and helpful.
The technicians handling the tickets do not seem very technical.
Red Hat's technical support is responsive and effective.
Red Hat's technical support is good, and I would rate it a nine out of ten.
I have been pretty happy in the past with getting support from Red Hat.
Solutions can scale up in a matter of minutes, offering serverless options that help manage costs efficiently, making it highly scalable.
On a scale of one to ten, I would rate the scalability of Azure Stack as eight.
OpenShift is highly scalable, allowing us to manage thousands of pods effectively.
The on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
I've had my cluster running for over four years.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
It performs well under load, providing the desired output.
The precision of anonymous activity tracking should be improved, particularly in identifying the correct location because IP information is sometimes inaccurate.
More integration with AI capabilities would be beneficial
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
The removal of Grafana and HPA from monitoring caused some issues.
Azure Stack pricing is generally reasonable, though it has been getting expensive recently due to inflation and changes in Microsoft’s charging strategy to US dollar-based billing.
If Microsoft lowers the price, more small businesses would be able to adopt the Enterprise E5 license.
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.
The cost of OpenShift is very high, particularly with the OpenShift Plus package, which includes many products and services.
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
Azure Stack provides federated authentication which is seamless with on-premise infrastructure, offering good performance and throughput.
They allow me to track all user activities.
Red Hat OpenShift stands out as a robust enterprise solution due to its superior support and documentation.
OpenShift offers an easy-to-use graphical user interface for cluster management, making it more accessible for administrators.
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
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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