Find out in this report how the two Container Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
We have a paid subscription that provides priority support.
Amazon's technical support is quite good, especially for those who purchase support services.
Having to know what questions to ask is essential.
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.
The ability to scale based on requirements by deploying additional containers is a strong point for Kubernetes.
It can scale very well according to needs, and it doesn't have any issues with scalability.
I would rate the scalability of Amazon EKS an eight out of ten, suggesting it has high scalability.
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.
Simplifying these will enable more people, not just those with strong foundational knowledge, to work effectively with these services.
A UI could help generate config files, simplifying the process for developers who are not architects.
Currently, some third-party plugins, like certain network plugins such as CNI, Calico CNI, or Cilium, are not fully supported.
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.
The pricing structure is beneficial for large companies who pay for what they use, but it is not affordable for startups.
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.
The most beneficial aspect of Amazon EKS is that it helps manage the Kubernetes master node, so I don't need to maintain the master node, including tasks like upgrading.
The scalability is excellent, allowing us to efficiently handle customer experiences and improve operational efficiency.
Now, with the serverless option, you can deploy everything and AWS handles the infrastructure.
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.
It has features that enhance security, ease of deployment, and service exposure compared to Kubernetes.
Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission critical applications because of its security, reliability, and scalability.
EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications. Third, EKS integrates with AWS App Mesh and provides a Kubernetes native experience to consume service mesh features and bring rich observability, traffic controls and security features to applications. Additionally, EKS provides a scalable and highly-available control plane that runs across multiple availability zones to eliminate a single point of failure.
EKS runs upstream Kubernetes and is certified Kubernetes conformant so you can leverage all benefits of open source tooling from the community. You can also easily migrate any standard Kubernetes application to EKS without needing to refactor your code.
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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