Google App Engine and Red Hat OpenShift compete in the cloud platform space. Red Hat OpenShift appears to have the upper hand due to its superior feature set and flexibility, despite Google App Engine's competitive pricing and supportive environment.
Features: Google App Engine is lauded for its auto-scaling, fully managed environment, and integration with Google's ecosystem. Red Hat OpenShift stands out for flexibility, broad language support, and extensive application lifecycle management.
Room for Improvement: Google App Engine could enhance its flexibility in using alternative services and improve the capabilities beyond Google's ecosystem. Red Hat OpenShift may improve ease of use, simplify its setup, and reduce complexity for beginners. Both could benefit from clearer documentation.
Ease of Deployment and Customer Service: Google App Engine is recognized for quick deployment and dedicated support. It offers a more straightforward deployment process. Red Hat OpenShift provides efficient deployment with Kubernetes integration but requires more expertise to unlock its full potential.
Pricing and ROI: Google App Engine's pricing is cost-effective, especially for smaller applications, using a pay-as-you-go model giving a clear ROI. Red Hat OpenShift, while requiring higher initial investment, potentially provides strong returns for larger enterprises with extensive scalability and resource optimization.
Once we deployed this same application as part of Google App Engine, the cost drastically reduced to just $120 for the small instance we use for our development.
Operationally, it was efficient for us because we could easily spin up new versions to demonstrate new functionality without modifying the original environment.
I have noticed a return on investment in terms of less maintenance, but it depends on the organization's standard deployment preferences.
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.
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
It is always advisable to get the bare minimum that you need, and then add more when necessary.
They route us toward the appropriate team handling Google App Engine or other services, so when there is an issue, the respective team connects and provides support.
The technical support was very quick and responsive, with a direct team line available.
Technical support for Google App Engine is efficient and offers a brilliant solution.
Red Hat's technical support is responsive and effective.
I have been pretty happy in the past with getting support from Red Hat.
Red Hat's technical support is good, and I would rate it a nine out of ten.
I would rate the scalability as nine out of ten, appreciating its design that does not require much attention to scaling configurations or costs.
Google App Engine scales well in the standard environment, which automatically handles traffic without manual scaling.
Google App Engine is highly scalable and can integrate easily with other applications.
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.
I have not experienced any crashing or instability with Google App Engine.
However, large code bases can still cause it to slow down.
I would rate the stability of Google App Engine a perfect 10 out of 10, as it is completely managed by Google.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
I've had my cluster running for over four years.
It performs well under load, providing the desired output.
It would be beneficial if Flex services could scale down to zero instances during periods of no traffic.
The pricing is higher compared to alternatives like Kubernetes and Compute Engine.
In the Flex environment, SSH access is not available for private instances.
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.
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
For F1 usage with 256 MB, it is free.
My GCP billing is about 10 lakh INR per month, and Google App Engine contributes only 25,000 to 30,000 INR.
The pricing of Google App Engine largely depends on the features chosen; if we opt for the standard edition, it is less expensive, while the flexible option incurs more costs due to always having an instance running.
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.
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
The cost of OpenShift is very high, particularly with the OpenShift Plus package, which includes many products and services.
The solution offers scalability, autoscaling based on user demand, and security, as Google manages all updates and security patches.
Google App Engine offers a cloud-based solution for free, especially for Java, making it a cost-effective option compared to expensive VMs.
I also appreciate the Google App Engine standard environment because it handles traffic scaling without manual intervention.
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 concept of containers and scaling on demand is a feature I appreciate the most about Red Hat OpenShift.
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
Google App Engine is a Platform-as-a-Service (Paas) provider that equips web application developers with all the resources and tools that they need to develop, test, and run their applications on Google's infrastructure. Everything is built into the kit, so with one download of the SDK, you'll be well on your way to first-rate apps.
Red Hat OpenShift offers a robust, scalable platform with strong security and automation, suitable for container orchestration, application deployment, and microservices architecture.
Designed to modernize applications by transitioning from legacy systems to cloud-native environments, Red Hat OpenShift provides powerful CI/CD integration and Kubernetes compatibility. Its security features, multi-cloud support, and source-to-image functionality enhance deployment flexibility. While the GUI offers user-friendly navigation, users benefit from its cloud-agnostic nature and efficient lifecycle management. However, improvements are needed in documentation, configuration complexity, and integration with third-party platforms. Pricing and high resource demands can also be challenging for wider adoption.
What are the key features of Red Hat OpenShift?Red Hat OpenShift is strategically implemented for diverse industries focusing on container orchestration and application modernization. Organizations leverage it for migrating applications to cloud-native environments and managing CI/CD pipelines. Its functionality facilitates efficient resource management and microservices architecture adoption, supporting enterprise-level DevOps practices. Users employ it across cloud and on-premises platforms to drive performance improvements.
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