Red Hat OpenShift is used to host all services running on containers on specific ports for both production and non-production environments.

Red Hat OpenShift is utilized in the healthcare sector.

Red Hat OpenShift provides good value as a cloud service, comparable to other public clouds such as AWS and Azure, but it functions as a private cloud rather than a public one.

A smaller cloud running on containers enables easy deployment with the ability to scale up and scale down, and it can host multiple services on the same platform.

Red Hat OpenShift is currently running with VMware, and there are some issues on the storage side that are still being addressed.

The support from Red Hat is rated around a six or seven in those kinds of cases.

Support could improve with faster response times, as responses are currently quite slow.

The team has been working with Red Hat OpenShift for over five years.

The initial setup for Red Hat OpenShift is easy to deploy.

There are approximately two resources working on the Red Hat OpenShift cluster for deployment.

The DevOps engineer and the Red Hat OpenShift Linux engineer are the job roles required for deployment.

There is no free open-source version available; a license must be purchased for Red Hat OpenShift.

The pricing for Red Hat OpenShift is considered quite high.

Red Hat OpenShift cannot be compared with other options for PaaS clouds because other private services have never been used.

There is no current knowledge of other available options.

I am not familiar with the mobile app platform for Android.

I don't have experience with VMware or AWS products at this time, although a team member may be working on the technical side.

My focus is on the management side rather than the technical side.

Microsoft tools are not being used.

The team is focused on the Linux side for the private cloud for Red Hat OpenShift.

I have minimal familiarity with Red Hat OpenShift. I don't have experience with Red Hat OpenShift Data Foundation. The technical side of Red Hat OpenShift is handled by a team member. Management tools, help desk software, or ITSMs are not being used. The overall review rating for Red Hat OpenShift is seven out of ten.

We already were having that microservices architecture, so there was not much change from that perspective. We had small services, so here we had to create multiple pod IDs. Even today, we are using a hybrid microservices architecture. Our DB still has two or three services that hit the same database. From that perspective, there was not much change that we did in our case.

We have certain applications on-prem on physical servers. We had some on Windows and some on Linux. There we had requirements where every time we had to manage extra load, we had to spawn a new Tomcat node. Scaling was one of the issues we were facing, and every time we had to scale up, it was a challenge. Plus, we had to procure infrastructure and do a lot of configuration and setup for the new instance being launched.

Once we set that up, scaling down was a challenge as we did not always bring that down when not needed. When we did not have too much traffic, we still had a lot of infrastructure lying idle. At the same time, when we had high load, we were not able to scale up quickly.

There was too much patching that happened, and every time we had to patch something it became a challenge. There were versioning issues with operating systems versus Java and other technologies we were using. That is why we moved to containerization, where we defined what operating system we need, what Java version we need, and what steps we want to do. Containerization helped us create that one unit we wanted to deploy. Red Hat OpenShift helped us with managing scaling up and scaling down.

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. We performed multiple transformations from physical servers to Red Hat OpenShift, and some from virtual servers to Red Hat OpenShift.

The OC utility tool is something we use very often for replication, replica sets, and config maps for managing all environments and secrets. This is very useful for us. Routing is another beneficial feature we get, so we do not need to manage or do too many things for load balancing.

Currently, one of the biggest challenges we face is with services and jobs. For spawning batches, although it has crons, it is not easy to integrate with enterprise systems such as Autosys. The entire company uses Autosys, but we are not able to integrate it effectively.

We need intermediate servers to run OC utility commands and initiate the cron job. We have to do a lot of modifications to ensure our batches work properly. With physical or virtual servers, even in AWS, we are able to write and manage multiple jobs. Managing batches in Red Hat OpenShift has been a significant challenge.

Integrating third parties is a challenge with Red Hat OpenShift. For example, with Elasticsearch, onboarding itself was difficult, running file beats and dealing with routing issues. It is not straightforward, especially since we have some components in AWS as. AWS has many capabilities that come out of the box and are easier to work with compared to Red Hat OpenShift.

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. The main reason we went with Red Hat OpenShift was because it is a private cloud, and we have regulatory requirements that prevent us from using public cloud.

The main reason we went with Red Hat OpenShift was because it is a private cloud, and we have regulatory requirements that prevent us from using public cloud. 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. For the use cases we dealt with, we have not seen much challenge with AWS. It has been better for us, but due to our requirement of being on private cloud for some applications, we are using Red Hat OpenShift.

We do not have any AI products at this time.

We have certain applications on-prem on physical servers, some on Windows and some on Linux. We had requirements where every time we had to manage extra load, we had to spawn a new Tomcat node. Scaling was one of the issues we were facing, and every time we had to scale up, it was a challenge. We had to procure infrastructure and do extensive configuration and setup for new instance launches. Once set up, scaling down was also a challenge as we did not always reduce capacity when not needed. When we did not have much traffic, we still had substantial infrastructure sitting idle. Simultaneously, during high load periods, we were not able to scale up quickly.

We have support available, but we never had to use it because we have our own internal teams who provide support. We have not encountered any issue where we had to reach out to Red Hat.

It is not difficult to onboard onto Red Hat OpenShift. Once you understand deployment configs, configs, replica sets, the basic components, routes and all, it is straightforward to onboard an application there. This applies mainly to services. Beyond that, it becomes challenging. We have not tried too many things because we struggled with batches. Getting things up and running in AWS, such as Kafka and Elasticsearch, is much easier than doing it on Red Hat OpenShift.

It is cost-effective. The only consideration is that you have to use it wisely. Use only what you need because it is not very difficult to add resources. It is always advisable to get the bare minimum that you need, and then add more when necessary. When you do not need the services, bring them down so you are not unnecessarily using compute resources. If you use it efficiently, then it is beneficial, which is applicable to any cloud platform.

If you are dealing with services and need private cloud, go for Red Hat OpenShift. Regarding cost, if you compare to public cloud platforms, it is cheaper. If you are mostly on the services side and need private cloud, Red Hat OpenShift should be the solution. The overall rating is six out of ten, as it is not seen as a complete solution, but rather as a solution only for services. For other requirements such as integrations or batches, other cloud providers might be more suitable.

I'm currently engaged in developing containerized microservices applications, managing thirteen modules within an OpenShift environment. These modules collectively handle automated payment processes for various services. My role involves closely monitoring these modules on OpenShift, ensuring optimal resource allocation such as storage and CPU usage. Additionally, I'm tasked with implementing solutions for scenarios of resource overutilization, including autoscaling capabilities to accommodate high traffic periods efficiently. I also focus on scaling down resources during low-traffic periods to optimize cost and performance.

OpenShift has significantly enhanced and streamlined our organization's application development and deployment processes. It offers more than just Kubernetes clusters, providing additional features like the Dashboard, which greatly simplifies tasks for developers. Moreover, OpenShift adds an extra layer of security, ensuring that applications run securely with features like hashing upgrades.

It offers a vast repository of images and tools tailored for deployment and application development. This rich ecosystem makes deployment and performance optimization much easier compared to our previous methods. Additionally, by opting for OpenShift, we gain access to comprehensive support from their expert team.

It streamlines our development and deployment processes through automation. From development to deployment, all processes are automated, providing efficiency and productivity gains. Developers can submit their changes for approval, and once approved, the deployment to production can proceed without requiring manual intervention. This streamlined workflow not only makes the process easier but also enhances productivity across the team.

The integration capabilities of OpenShift with other platforms and services have greatly enhanced our workflow. When you opt for OpenShift, whether through a subscription or by installing it on your servers, you gain access to a comprehensive support system provided by Red Hat. OpenShift features a marketplace with a wide array of operators, facilitating seamless integration and deployment of various services. For instance, popular services like Elasticsearch can be easily integrated into the cluster directly from the user interface and dashboard, making the installation process much simpler and more user-friendly.

The broad support for multiple languages and frameworks in OpenShift has positively impacted the productivity of our development teams. We've observed significant improvements in our tools and team collaboration since adopting this platform. As we continue to enhance our processes, it's evident that most of our development team members are actively engaged and contributing, particularly our dedicated engineers and architects.

When comparing the efficiency of OpenShift Container Orchestration to other solutions we've considered, such as Kubernetes, we find that OpenShift aligns well with our existing architecture and team structure. Our approach resembles the architecture of OpenShift, with a team leader overseeing multiple workers.

One of the most valuable features of OpenShift for our operations is its auto-scaling capability. This feature is crucial for handling high loads or traffic spikes in our applications. With OpenShift, we have the flexibility to scale our applications up or down as needed, providing a significant benefit to our operations.

OpenShift offers robust tools for monitoring application traffic, allowing us to analyze client requests and other business-related metrics. This enables us to effectively manage our applications and make informed decisions to optimize performance.

An enhancement to consider for the future might involve incorporating a comprehensive solution for CI/CD tailored specifically for OpenShift.

I have been working with it for three years.

I would rate its stability abilities eight out of ten.

I would rate its scalability capabilities seven out of ten. More than three thousand users use it daily.

We are experiencing dissatisfaction with the technical support as we often receive delayed responses when raising questions. I would rate it five out of ten.

We previously worked with Kubernetes cluster, but we switched to using OpenShift, as advised by our architect. This change is aimed at achieving greater scalability and stability for our product, as we've encountered challenges with our setup at the time.

The initial setup was relatively straightforward.

We manually installed the deployment three months ago, utilizing grid protection systems. I have been handling both development and production environments. In the development phase, I build deployments from scratch, while for production, I collaborate with another vendor. I manage all steps of installation and ensure smooth migration to the production environment.

The cost is quite high. I would rate it eight out of ten.

Overall, I would rate it seven out of ten.