Open Shift makes managing infrastructure easy because of self-healing and automatic scaling. There is also a wonderful dashboard mechanism to alert us in case the application is over-committing or is being over-utilized. Open Shift has high availability and very good stability. We use Open ShIft for numerous clients and varied environments. We are able to operate the client’s platform with reduced downtime and maintain consistently good service-level agreements.
Amazon AWS has been great in helping us move clients easily and seamlessly to the cloud and offers a wide range of cloud services within the growing AWS ecosystem. It interacts very well with on-premise data centers. You can scale up to an unlimited number of processes very quickly. They offer a price forecasting and billing dashboard broken down by service, with budgets and alerts that have helped us recognize and shut down services we no longer needed (thereby reducing costs), which has been a very big win for us overall.
We found Open Shift’s support to be somewhat lacking. The product is very good, but when we had some issues, it was very challenging to get adequate support and response. Open ShIft is not a standard solution and the end-point user has to be prepared with documentation or have training elsewhere. It is also not that easy to deploy.
You really have to watch your costs for processes and such if you go with AWS, as they can add up very quickly. Also, although AWS is available globally, not all service centers offer every service, so it causes some functionality issues in different markets.
Conclusion
Both of these solutions are wonderfully stable and very scalable. Our team was most comfortable with Amazon AWS due to its overall global reach and excellent responsive support.
Amazon AWS and Red Hat OpenShift are prominent solutions in the cloud computing and container orchestration spaces. Based on feature breadth and integration flexibility, AWS holds a slight advantage.Features: Amazon AWS offers elastic compute power, scalable storage options like S3, and dynamic availability zones, supporting a wide range of integrations. Its usage-based pricing is highly flexible. Red Hat OpenShift emphasizes robust container orchestration, seamless development lifecycle...
Open Shift makes managing infrastructure easy because of self-healing and automatic scaling. There is also a wonderful dashboard mechanism to alert us in case the application is over-committing or is being over-utilized. Open Shift has high availability and very good stability. We use Open ShIft for numerous clients and varied environments. We are able to operate the client’s platform with reduced downtime and maintain consistently good service-level agreements.
Amazon AWS has been great in helping us move clients easily and seamlessly to the cloud and offers a wide range of cloud services within the growing AWS ecosystem. It interacts very well with on-premise data centers. You can scale up to an unlimited number of processes very quickly. They offer a price forecasting and billing dashboard broken down by service, with budgets and alerts that have helped us recognize and shut down services we no longer needed (thereby reducing costs), which has been a very big win for us overall.
We found Open Shift’s support to be somewhat lacking. The product is very good, but when we had some issues, it was very challenging to get adequate support and response. Open ShIft is not a standard solution and the end-point user has to be prepared with documentation or have training elsewhere. It is also not that easy to deploy.
You really have to watch your costs for processes and such if you go with AWS, as they can add up very quickly. Also, although AWS is available globally, not all service centers offer every service, so it causes some functionality issues in different markets.
Conclusion
Both of these solutions are wonderfully stable and very scalable. Our team was most comfortable with Amazon AWS due to its overall global reach and excellent responsive support.