AWS Config vs. Azure Cloud Services vs. Red Hat OpenShift

It's really good if your infrastructure services is all in AWS, that means everything could be audited and monitored using AWS config. You also can create alarms to notify you or your team about any changes on your AWS resources which is very useful to prevent abuse if you have a fairly large team. It's also very useful whenever some third party wants to audit your AWS resources, if you have a fairly comprehensive AWS config configured, the auditing process will be easy since they only need to look at your AWS config setup.

Incentivized

Microsoft Azure Cloud services is a good choice for hosting web applications, based on requirements it can be simple websites or complex web services as well as it provides automating application development and deployment pipeline. It's less appropriate in case of cost-effective option for organizations with tight budget constraints. For very basic static websites, Microsoft Azure's offerings might be seen as overkill.

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.

Incentivized

• The ability to track changes in AWS is paramount, AWS config allows you to do this
• Allows the auditing of an AWS account
• Can view history of an account that has AWS config enabled

Incentivized

• Effective service management and performance monitoring capability.
• Reliable security management with excellent access controls.
• Best orchestration and easy configuration management.
• Easy on compatibility testing and change management.

• 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.

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• It's only AWS, no third party.
• Not the most intuitive interface, but with a little getting used to it is OK.

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• Latency and bandwidth as we often see gap here
• There were many challenges as a developer while migrating our DB from on prem to cloud
• System downtime is also one issue that can be improved

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• 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.

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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

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As a certificate developer and consultant, I love using Azure, it's interface is developer friendly with well guidance and support. Also there are a lot of service for any work, Azure ecosystem is sufficient to complete your all developments needs. So based on that I feel Azure is good and gives better developer experience.

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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

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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.

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Would rate lower for other workloads but for AWS workloads its simple to set up, cost effective and customisable. Primary use case is compliance from a governance perspective.

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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.

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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

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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.

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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.

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The learning curve is quite high but worth it.

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I do not know or have used any other product in AWS cloud space that matches what AWS Config provides. We have some custom built monitoring and governance, however that is there because AWS Config does not provide it currently.

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I feel AWS offers a robust and versatile platform for cloud infrastructure and services. It's scalability, reliability array of tools make it a top choice for businesses of all sizes. AWS has better open source communities such as Linux, Jenkins and GitHub in comparison to Azure service cloud

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.

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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.

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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

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• Enforcing audit requirements
• Easy to set up alerting when there are rule breaches
• Auto remediation reduces the manual policing of such breaches

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• Azure's services and automation capabilities contribute to operational efficiency.
• Azure's scalability ensures optimal performance during peak demand periods and cost savings during off-peak times

• 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.

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