Docker Enterprise was sold to Mirantis in 2019; that product is now sold as Mirantis Kubernetes Engine. But Docker now offers a 2-product suite that includes Docker Desktop, which they present as a fast way to containerize applications on a desktop; and, Docker Hub, a service for finding and sharing container images with a team and the Docker community, a repository of container images with an array of…
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Red Hat OpenShift
Score 9.1 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.
It is easy to use. we can manage multiple images in docker hub. Docker desktop is for accessing images in our desktop. It is very much user friendly as compare to podman.
Docker is by far the industry leader and mainstay when it comes to virtual machines, its really hard to justify using another service like Vagrant. The upcoming monetization of Docker desktop should make things interesting though.
We need a solution where initially we can use an OS to trigger our pipeline to be used by terraform and then later in ansible. After doing all work it automatically get exited and we can reclaim the space of our VM. So we created a gitlab pipeline and at the initial stage we …
The features and capabilities provided by Docker are incomparable and much vast in nature. Docker is much light weight and easy to onboard into the tech stack. It is also well supported by Container orchestration systems like Kubernetes which will be critical when applications …
Did use containerd or LXC for brief evaluation in the past, but settled on Docker and only see Docker as the mainstay for most organizations I worked in, as the container tool of choice so far. Docker is matured, feature-rich, and reliable enough to be the main choice all …
The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.
Docker provides is effective container management and orchestration platform. It is highly suitable for Linux environments and allows the easy and quick deployment of production applications Other alternatives use replication and management of the virtual machines. Docker …
Red Hat maintains a consistent user interface across their products, and their feature sets facilitate easy and rapid adoption. Configuration as code is the optimal approach for all of them, and they all provide a level of command-line access that ensures teams can work in the …
OCP and OpenShift Virtualization are better for a code based infrastructure our organization is attempting to move towards shortly. VMware has also been acquired which has added instability with their future. We are planning to move all VMware workloads to OpenShift …
I don't have as much experience with the other two, I have heard of them and know they are container management systems. I have the most experience with Red Hat OpenShift.
Red Hat Enterprise Linux (RHEL), Red Hat Data Grid, Red Hat Integration, Red Hat JBoss Enterprise Application Platform and Red Hat Ansible Automation Platform
As a specialized partner in container platform Red Hat OpenShift is our preffered solution. It provides a supported kubernetes platform which contains all the required tools to make the life of customers easier and offer them the same experience accross all hyperscalers, …
I find OpenShift opinionated but also requiring less configuration to be functional than the other platforms that I've mentioned, and Tanzu requires Faustian contracts to be signed.
You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.
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.
One of the big advantages of Red Hat OpenShift is, especially over Kubernetes itself, is that it provides a lot of built-in operators for doing a lot of different things right out of the box that you don't have to worry about trying to configure. So one of the big ones is, I mean, right in your face is that user interface and being able to work with it inside of a browser. And I think that works very, very well.
I would say that's the logging part because Red Hat OpenShift write tons of locks and if most time in the finance industry, we cannot use the built in logging infrastructure for compliance reasons. And we have to forward the logs out of the system and this is, it's too much, which we forward from one cluster. Most time we'll build up multi clusters, so we speak about 10 or more clusters. And if you send log files from 10 or more clusters, the logging systems are not prepared to take that much load. And then really often you have license problems with the logging system, so that's not really, really fun. So logging could be improved.
Going to stay with this platform for the unforeseeable future. It matches our Target Architecture 2030 strategy internally to adopt more modularized platforms with Open Source on the back-end so that if needed containerized workloads can move to a different platform. With open-source based application telemetry collection being utilized on the back-end, integrating our already existing oTeL observability based platform makes it easier for our apps to be monitored
I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well
As I said before, the obserability is one of the weakest point of OpenShift and that has a lot to do with usability. The Kibana console is not fully integrated with OpenShift console and you have to switch from tab to tab to use it. Same with Prometheus, Jaeger and Grafan, it's a "simple" integration but if you want to do complex queries or dashboards you have to go to the specific console
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.
Their customer support team is good and quick to respond. On a couple of occassions, they have helped us in solving some issues which we were finding a tad difficult to comprehend. On a rare occasion, the response was a bit slow but maybe it was because of the festival season. Overall a good experience on this front.
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.
We need a solution where initially we can use an OS to trigger our pipeline to be used by terraform and then later in ansible. After doing all work it automatically get exited and we can reclaim the space of our VM. So we created a gitlab pipeline and at the initial stage we defined a docker file which will be our base image and we performed all our activities inside that image to build infrastructure using terraform. Integration we have done in our gitlab pipeline and finally we remove the docker image so that the space can be reclaimed immediately.
We utilized the Thycotic Secret Service to manage all our application secrets, resulting in seamless integration with our applications. We developed all the applications using Red Hat Fuse (currently migrated to Quarkus). We used the built-in Kali Linux support of OpenShift to manage and configure the services and API. Additionally, the Red Hat Developer Studio facilitates faster development.
It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.
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 you talk about ROIs, I don't have any negative impacts I wanted to call out here. There is no negative impacts. In fact, it's all positive impacts what we set as our milestones towards achieving our goals, towards achieving our greater vision. Red Hat OpenShift has got a big role in it and it is certainly helping us.
