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.
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.
The technicians handling the tickets do not seem very technical.
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.
Monitoring, changing plans, and consolidating things are necessary parts of the process to avoid excessive costs.
On a scale of one to ten, I would rate the scalability of Azure Stack as eight.
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.
The precision of anonymous activity tracking should be improved, particularly in identifying the correct location because IP information is sometimes inaccurate.
Many resources get created in Azure Stack, and managing those resources can be challenging.
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.
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.
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.
They allow me to track all user activities.
We wanted to proceed with an integrated solution from the same cloud provider, so we are using Azure Stack.
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.
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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