


Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Red Hat and others in PaaS Clouds.
Instead of purchasing and managing a physical server, a company can host an application on Microsoft Azure and pay only for consumed resources, reducing infrastructure and operational costs.
The value for money is good, and Microsoft Azure has positively impacted our operational costs.
When we use Microsoft Azure, it provides enhanced security from our perspective, though I am not certain about the financial return on investment or benefits for our users as I do not have that information.
Red Hat OpenShift has proven to be an intelligent product for me, being built on Kubernetes, which is widely recognized and is where many cloud providers are deploying new workloads.
Time was the major thing which saved a lot, and in terms of resources, it has reduced resource utilization so the remaining users can focus on other tasks.
With OpenShift combined with IBM Cloud App integration, I can spin an integration server in a second as compared to traditional methods, which could take days or weeks.
Reaching out to them and talking is different from receiving a complete solution to your problem.
We have a direct line to Amazon AWS, with premium support and AWS members located within the company.
My impressions of Amazon AWS technical support are that they are quite knowledgeable and professional.
Microsoft needs to engage L3 and L2 in support when specified in service tickets.
We eventually get the resolution we seek.
I would rate their technical support a ten because we have various support channels available.
Red Hat's technical support is responsive and effective.
Customer support is really good because so far in our case, we have always received a prompt response, and they have been really helpful to us.
The response time for customer support is excellent, and they go deep and can resolve things easily.
The scalability of Amazon AWS is excellent.
Amazon AWS provides strong scalability features, but the scaling process could be made more straightforward.
When setting up resources, the maximum limit can go high or low, at which time instances are increased, which helps maintain latency standards.
Microsoft Azure is not just one product; it is a platform with multiple products within Microsoft Azure, and I would say it is scalable and would rate it a nine.
The scalability of Microsoft Azure is excellent for growth and adaptation, depending on company requirements.
It has different kinds of designs that allow for management and deployment in multi-zones, offering both scalable and non-scalable options.
The on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
If I am spinning up any managed service from the console, sometimes it fails to start up, and there will be no information about why it failed.
We noticed a few critical servers went down due to a Microsoft Azure-end hardware issue.
We are now migrating clients without the zoning into mandatory multi-zone deployments, so if one zone goes down, their application and database remain live.
Microsoft Azure is quite stable, but recent outages and security issues have slightly decreased my confidence.
Red Hat OpenShift can scale to thousands of nodes, allowing multiple clusters to be managed in different geolocations and managed by centralized advanced cluster management, ACM.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
I've had my cluster running for over four years.
Amazon AWS could improve its user interface to make it more user-friendly, especially for people who are not highly technical.
When using scripts for APIs to fetch data, they don't match the data exactly with the request.
If I create a Glue job, that will create S3 buckets and other resources that have cost implications, but once I clean up a Glue job, it does not delete the other accessory resources.
Recent outages and security issues are also a concern, causing a decrease in confidence, especially when partnering with third-party companies.
The administrative side is suitable for technical people, but our finance and HR super users find it less user-friendly, as they prefer drag-and-drop features to build their own solutions without contacting IT.
There is still room for improvement in terms of pricing.
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
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.
If I could change or improve one thing about Red Hat OpenShift, it would be to provide more information on the web because the information is limited and I need to explore more.
After three to four years, if you are not managing it correctly, you will be paying more than an on-premise solution, which applies to all cloud providers, so you must regularly maintain and manage for efficiency.
Currently, Amazon AWS is known to be on the higher price range because popular and in-demand services often come at a premium.
Microsoft solutions might be cheaper than some services like AWS, but some solutions may be more expensive depending on the services compared.
Copilot is expensive based on recent pricing for our POC.
They have discounts and also provide promotions for a three-year reservation which comes with significant discounts on the infrastructure part.
Initially, licensing was per CPU, with a memory cap, but the price has doubled, making it difficult to justify for clients with smaller compute needs.
The pricing for Red Hat OpenShift is considered quite high.
My experience with pricing, setup cost, and licensing shows that Red Hat OpenShift comes out as an expensive solution compared to having AKS, GKE, or EKS.
Amazon AWS provides IAM features for user access management as well as KMS through key management service with private and public key encryption methodology.
The most important feature that I rely on most is S3. It serves as a centralized and highly scalable storage solution for datasets.
Amazon AWS offers flexibility and scalability.
Power BI, another feature of Azure, is extremely elegant and has robust features that support forecasting using R and Python.
If Microsoft gives a report, such as a server performance report in a detailed way, which shows what is consuming more CPU, memory, and disk IO, and network utilization during a particular time, it would be helpful to visualize that information.
What is very interesting in terms of scalability is the automatic possibilities to provision some new machines to be able to absorb the number of users we have in the system.
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.
The main benefits Red Hat OpenShift provides for me as a final user include the capacity to integrate third-party tools and also the integration between observability, security, and monitoring capacities.
This is one of the main things, in addition to having integration with ACM and ACS, where we can have the ability to manage multiple clusters and to secure them, deploy them, manage them, run GitOps and day-two operations, as well as upgrades and other functionality which is made easy using these tools.
| Product | Mindshare (%) |
|---|---|
| Microsoft Azure | 12.0% |
| Amazon AWS | 13.7% |
| Red Hat OpenShift | 6.3% |
| Other | 68.0% |
| Company Size | Count |
|---|---|
| Small Business | 131 |
| Midsize Enterprise | 48 |
| Large Enterprise | 120 |
| Company Size | Count |
|---|---|
| Small Business | 141 |
| Midsize Enterprise | 54 |
| Large Enterprise | 153 |
| Company Size | Count |
|---|---|
| Small Business | 19 |
| Midsize Enterprise | 7 |
| Large Enterprise | 58 |
Amazon AWS offers cloud services known for ease of use, scalability, and diverse services such as EC2, S3, and Lambda. Its pay-as-you-go pricing and robust security features make it a preferred choice for businesses managing growing demands efficiently.
Amazon AWS provides a comprehensive ecosystem with services like EC2 for computing, S3 for storage, and Lambda for serverless computing. It emphasizes scalability and quick resource provisioning, allowing businesses to handle IT workloads, host websites, and manage analytics seamlessly. AWS integrates a wide range of services, enhancing flexibility and reliability while offering robust security and automated management to streamline operations.
What are the most important features of Amazon AWS?Amazon AWS is widely implemented across industries for cloud computing, infrastructure hosting, and data storage. Businesses in finance, healthcare, and technology sectors leverage AWS for running applications, hosting analytics databases, and deploying scalable solutions. By utilizing tools like EC2, S3, and Lambda, they ensure flexibility and security in infrastructure management and data applications, meeting diverse operational needs effectively.
Microsoft Azure is a versatile cloud platform known for its scalability, flexibility, and ease of use, offering comprehensive solutions like virtual machines, identity management, and data storage with robust security measures and global data centers.
Azure provides a straightforward setup with dynamic scaling and seamless integration with existing tools. Its robust security, compliance with privacy laws, and global data center presence make it a trusted choice for enterprises. With features supporting DevOps, IoT, AI/ML, and hybrid cloud environments, Azure facilitates efficient cloud migration and modernization, enhancing operational efficiency.
What are some of the key features of Microsoft Azure?Organizations primarily use Azure for infrastructure services, application hosting, and data management across industries such as finance, healthcare, and retail. Resellers deploy cloud services for clients in private, public, and hybrid clouds, supporting enterprise applications and digital transformation projects.
Red Hat OpenShift is a comprehensive platform offering versatile container orchestration capabilities, suitable for businesses seeking robust, scalable, and secure solutions for application modernization efforts and microservices deployment.
Red Hat OpenShift combines a user-friendly interface with powerful CLI tools, ensuring rapid deployment and process automation. It seamlessly integrates with Docker and Kubernetes, providing cloud-native stacks for flexibility and compliance. Enhancing development efficiency, OpenShift includes built-in CI/CD tools and dynamic scaling features. It supports multi-cloud environments, avoiding vendor lock-in. However, documentation gaps, interface complexity, and infrastructure demands present challenges, alongside improving integration with third-party tools and monitoring capabilities. Licensing complexities and resource consumption remain areas for improvement, with user experience varying due to support response times.
What are Red Hat OpenShift's key features?In industries embracing cloud-native architectures, Red Hat OpenShift is adept for hosting containerized applications and transitioning legacy systems. It excels in managing DevOps processes, supporting production and development in sectors such as finance, healthcare, and technology, ensuring robust hybrid on-premise and cloud operations.