Google Kubernetes Engine supplies containerized application management powered by Kubernetes which includes Google Cloud services including load balancing, automatic scaling and upgrade, and other Google Cloud services.
$0.04
vCPU-hr Autopilot Mode
IBM Cloud Private
Score 9.6 out of 10
N/A
IBM Cloud Private is a Kubernetes-based container platform allowing users to build cloud-native applications on their own infrastructure. In addition, it offers common services for self-service deployment, monitoring, logging and security, as well as middleware, data and analytics.
N/A
Red Hat OpenShift
Score 9.2 out of 10
N/A
OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
Google Kubernetes Engine has better upgrades and auto-scale management. Google Kubernetes Engine is also the cheapest option for managed Kubernetes, and Google is the principal contributor to the Kubernetes project.
greate UI UX, easy to use, even when you have no clue about any command lines, you still can manage your apps. Also, public documentation is great, if you search for anything you can find it online. A great community and a support system
Red Hat OpenShift has a better security posture than EKS. I enjoy the console on Red Hat OpenShift more as well. I believe there is greater observability for Red Hat OpenShift.
The other platforms are cloud based, and less relevant when you have to choose an on prem scenario. Red Hat OpenShift encapsulates Kubernetes and provides more, so that you have an all-in-one platform instead of dealing with various separate services. [Red Hat] OpenShift is …
OpenShift is more flexible and can be deployed On-prem and on the cloud. Openshift was easier for the development teams to get up to speed and understand k8 terminology.
Red Hat OpenShift makes the Kubernetes operations simpler and easier to provide. Kubernetes operations can be complicated especially for beginner(s). Red Hat OpenShift provides a web and CLI interface so that teams with different skill sets can be productive. Red Hat OpenShift …
Red Hat OpenShift combines Kubernetes with additional features, streamlining management by avoiding the need to handle separate services.Enterprise. Users appreciate the blend of enterprise-grade support and community collaboration. Efficiency wise Some users find that Red …
It is more flexible and conducive to rapid development. It shares in common storage as images. Red Hat OpenShift is a great option if / when organizations are in phase of innovation where competitive differentiation is best fostered by fueling the cauldrons of creativity.
The reason for selecting Red Hat OpenShift is that it offers a combination of enterprise-grade support and a strong community, making it a good choice for container orchestration needs.
Red Hat OpenShift offers great advantages such as its great support in addition to integrating adequate tools and with an extreme level of confidence, scalability, flexibility, automated operations with some of the best examples of aspects to consider to opt for this solution
If your application is complex, if it's planet-scale, or if you need autoscaling, then Kubernetes is best suited. If your application is straightforward, you can opt for App Engine or Cloud Run. In many cases, you can prefer to run the cloud on GKE. But once you deploy on Kubernetes, you get the flexibility to try different things. But if you don't seek flexibility, it's not an option for you.
IBM Cloud Private is an ideal platform for companies to accelerate their business growth. It helps in reducing the cost of IT and operations while delivering a great customer experience. With IBM Cloud Private, you can gain agility and security with a flexible hybrid model that fits your needs. It's highly recommended to my colleagues from me.
Red Hat OpenShift, despite its complexity and overhead, remains the most complete and enterprise-ready Kubernetes platform available. It excels in research projects like ours, where we need robust CI/CD, GPU scheduling, and tight integration with tools like Jupyter, OpenDataHub, and Quiskit. Its security, scalability, and operator ecosystem make it ideal for experimental and production-grade AI workloads. However, for simpler general hosting tasks—such as serving static websites or lightweight backend services—we find traditional VMs, Docker, or LXD more practical and resource-efficient. Red Hat OpenShift shines in complex, container-native workflows, but can be overkill for basic infrastructure needs.
Engine upgrade rollout strategy - well documented and configurable
Integration with other Google Cloud services like the Compute Engine, SaaS databases, and some cloud networking like Cloud Armor
Graphical interface for a lot of operations - either for a quick peek/overview or actual work done by administrators and/or developers (via the Google Cloud Console, for example)
Capacity On Demand to scale up and down environments
SaaS model allows our team to have less involvement in managing or controlling the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities.
SaaS model allows our team to worry less about upgrades, fix packs, environment support etc.
We had a few microservices that dealt with notifications and alerts. We used OpenShift to deploy these microservices, which handle and deliver notifications using publish-subscribe models.
We had to expose an API to consumers via MTLS, which was implemented using Server secret integration in OpenShift. We were then able to deploy the APIs on OpenShift with API security.
We integrated Splunk with OpenShift to view the logs of our applications and gain real-time insights into usage, as well as provide high availability.
I wouldn't necessarily say there is look everyday technology transform. I can see a trend wherein Red Hat OpenShift is adopting all the new technology trends and helping their customers align with their priorities and the emerging technology trends. I wouldn't call out various scope for development every day. There is scope for development. It is all how the organizations adopt it and how they deliver it to their customers. I don't want to call out there is scope for development. It's happening. It is a never ending process.
At the moment, I don't have anything to call out. We are experiencing Red Hat OpenShift and we can see every day they're coming up with new features as and when they come up with new features, we want to experience it more and more. We are looking for opportunities wherein this can be leveraged to help our users and partners.
OpenShift is really easy of use through its management console. OpenShift gives a very large flexibility through many inbuilt functionalities, all gathered in the same place (it's a very convenient tool to learn DevOps technics hands on) OpenShift is an ideal integrated development / deployment platform for containers
The virtualization part takes some getting used to it you are coming from a more traditional hypervisor. Customization options are not intuitive to these users. The process should be more clear. Perhaps a guide to Openshift Virtualization for users of RHV, VMware, etc. would ease this transition into the new platform
Redhat openshift is generally reliable and available platform, it ensures high availability for most the situations. in fact the product where we put openshift in a box, we ensure that the availability is also happening at node and network level and also at storage level, so some of the factors that are outside of Openshift realm are also working in HA manner.
Overall, this platform is beneficial. The only downsides we have encountered have been with pods that occasionally hang. This results in resources being dedicated to dead or zombie pods. Over time, these wasted resources occasionally cause us issues, and we have had difficulty monitoring these pods. However, this issue does not overshadow the benefits we get from Openshift.
Very good Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.
Every time we need to get support all the Red Hat team move forward looking to solve the problem. Sometimes this was not easy and requires the scalation to product team, and we always get a response. Most of the minor issues were solved with the information from access.redhat.com
I was not involved in the in person training, so i can not answer this question, but the team in my org worked directly with Openshift and able to get the in person training done easily, i did not hear problem or complain in this space, so i hope things happen seamlessly without any issue.
We went thru the training material on RH webesite, i think its very descriptive and the handson lab sesssions are very useful. It would be good to create more short duration videos covering one single aspect of openshift, this wll keep the interest and also it breaks down the complexity to reasonable chunks.
GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more Kubernetes features baked in natively.
With VMware cloud, each VMware Cloud customer must have an SDDC account(VMC) as well as a general AWS account. The two accounts must be linked for the service to work which is a tiresome thing to do for some clients but with IBM Cloud Private all these issues are solved.
The Tanzu Platform seemed overly complicated, and the frequent changes to the portfolio as well as the messaging made us uneasy. We also decided it would not be wise to tie our application platform to a specific infrastructure provider, as Tanzu cannot be deployed on anything other than vSphere. SUSE Rancher seemed good overall, but ultimately felt closer to a DIY approach versus the comprehensive package that Red Hat OpenShift provides.
It's easy to understand what are being billed and what's included in each type of subscription. Same with the support (Std or Premium) you know exactly what to expect when you need to use it. The "core" unit approach on the subscription made really simple to scale and carry the workloads from one site to another.
This is a great platform to deployment container applications designed for multiple use cases. Its reasonably scalable platform, that can host multiple instances of applications, which can seamlessly handle the node and pod failure, if they are configured properly. There should be some scalability best practices guide would be very useful
When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence.
All of the above. Red Hat OpenShift going into a developer-type setting can be stood up very quickly. There's a very short period to have developers onboard to it and they're able to become productive much faster than a grow your own type solution.