Management Trainee/Digital Infrastructure Operations at Employees Provident Fund of Malaysia
Real User
Top 10
2023-12-21T10:05:00Z
Dec 21, 2023
In terms of the support, improvements would be great. The solution should attempt to offer ease of use to its new users. I would like the product to offer more scalability features.
Specialist Technical Lead at Hitachi Systems, Ltd.
Real User
Top 5
2023-10-30T11:08:55Z
Oct 30, 2023
We can build a complete CI/CD pipeline on Azure using Azure tools or third-party tools. Azure Red Hat OpenShift does not include all CI/CD pipeline tools, so third-party software can be used. Red Hat builds some of the CI/CD pipelines sold on the Red Hat Platforms, which are used for any cloud platform, such as AWS, Azure, or Google Cloud Platform. Red Hat should provide this because we don't want to use third-party tools like Jenkins or other automation platforms.
Technology Lead Analyst at a financial services firm with 10,001+ employees
Real User
Top 10
2023-08-31T15:44:06Z
Aug 31, 2023
There is room for improvement in terms of orchestration. While Azure orchestration offers valuable features, it's worth noting that it may not match the level of orchestration provided by Kubernetes itself. To illustrate this, let's consider a scenario involving a seller, for instance, Apple. Apple is known for its high-quality products with advanced features, such as video-based camera visibility. Now, imagine if a competitor, like Nokia or another company, wanted to purchase certain components from Apple to incorporate into their own mobile devices. In such cases, Apple might limit the features and functionalities shared with competitors to protect its market position. Consequently, the products derived from these shared components may not offer the same comprehensive features and benefits as Apple's own products, as Apple aims to maintain its competitive edge by not sharing everything.
Azure Red Hat OpenShift's support should be improved. Sometimes, we have to act together with the Microsoft and Red Hat teams in some troubleshooting situations. I would like to see something specifically developed or customized for analytics solutions in order to support data pipelines. Sometimes we have to build some predictive machine learning models and deliver them to the production environment. I don't have any DevOps automation or data ops specifically for this kind of data-intensive application.
Sr manager cloud engineering at a retailer with 10,001+ employees
Real User
Top 10
2022-12-23T02:42:00Z
Dec 23, 2022
One of the things to notice is that this product can be expensive. Another thing is that OpenShift has its own CLI, it has features in it that you don't have under normal Kubernetes. So if you're just a plain Kubernetes developer, you either don't know about these other features and you don't take advantage of them so you're basically treating it like a normal Kubernetes or there's a slight learning curve as you start to learn how the new CLIs work, the other options that are not available in Kubernetes. There is a learning curve; it's not high, but it's still there. That's another negative against OpenShift. If you're purchasing OpenShift on their OpenShift container platform, you will have to manage the master nodes. If you are using Kubernetes in AWS, Google, and Azure, you don't manage master nodes. It's not really a big deal. It's all part of the patching in OpenShift. People will start to say, "Well, I don't want to manage the masters." But I think if they actually see the process of patching an OpenShift, they would say, "Okay, it's not even worth arguing because it's so simple." Alternatively, the main three cloud vendors can provide OpenShift as a service.
Platform-as-a-service (PaaS) is a kind of cloud computing service in which, rather than having to build and maintain their own infrastructure, a client is able to develop, run, and manage applications on a platform that is provided by a third-party provider. The provider hosts both software and hardware, freeing the client from having to install and handle them in-house.
In terms of the support, improvements would be great. The solution should attempt to offer ease of use to its new users. I would like the product to offer more scalability features.
We can build a complete CI/CD pipeline on Azure using Azure tools or third-party tools. Azure Red Hat OpenShift does not include all CI/CD pipeline tools, so third-party software can be used. Red Hat builds some of the CI/CD pipelines sold on the Red Hat Platforms, which are used for any cloud platform, such as AWS, Azure, or Google Cloud Platform. Red Hat should provide this because we don't want to use third-party tools like Jenkins or other automation platforms.
There is room for improvement in terms of orchestration. While Azure orchestration offers valuable features, it's worth noting that it may not match the level of orchestration provided by Kubernetes itself. To illustrate this, let's consider a scenario involving a seller, for instance, Apple. Apple is known for its high-quality products with advanced features, such as video-based camera visibility. Now, imagine if a competitor, like Nokia or another company, wanted to purchase certain components from Apple to incorporate into their own mobile devices. In such cases, Apple might limit the features and functionalities shared with competitors to protect its market position. Consequently, the products derived from these shared components may not offer the same comprehensive features and benefits as Apple's own products, as Apple aims to maintain its competitive edge by not sharing everything.
Azure Red Hat OpenShift's support should be improved. Sometimes, we have to act together with the Microsoft and Red Hat teams in some troubleshooting situations. I would like to see something specifically developed or customized for analytics solutions in order to support data pipelines. Sometimes we have to build some predictive machine learning models and deliver them to the production environment. I don't have any DevOps automation or data ops specifically for this kind of data-intensive application.
They need to improve the core licensing model.
One of the things to notice is that this product can be expensive. Another thing is that OpenShift has its own CLI, it has features in it that you don't have under normal Kubernetes. So if you're just a plain Kubernetes developer, you either don't know about these other features and you don't take advantage of them so you're basically treating it like a normal Kubernetes or there's a slight learning curve as you start to learn how the new CLIs work, the other options that are not available in Kubernetes. There is a learning curve; it's not high, but it's still there. That's another negative against OpenShift. If you're purchasing OpenShift on their OpenShift container platform, you will have to manage the master nodes. If you are using Kubernetes in AWS, Google, and Azure, you don't manage master nodes. It's not really a big deal. It's all part of the patching in OpenShift. People will start to say, "Well, I don't want to manage the masters." But I think if they actually see the process of patching an OpenShift, they would say, "Okay, it's not even worth arguing because it's so simple." Alternatively, the main three cloud vendors can provide OpenShift as a service.