

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.
Google App Engine offers discounts for high resource utilization, similar to committed use discounts for Compute Engine.
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.
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
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.
Google invests in companies with technical expertise, offering connections to enterprise clients and technical support for their products.
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.
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.
With automatic scaling, Google Cloud handles the scaling process, which leads to my high rating.
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.
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.
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.
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.
For F1 usage with 256 MB, it is free.
I've never heard anyone express that the licenses are too expensive.
My GCP billing is about 10 lakh INR per month, and Google App Engine contributes only 25,000 to 30,000 INR.
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.
The solution offers scalability, autoscaling based on user demand, and security, as Google manages all updates and security patches.
I also appreciate the Google App Engine standard environment because it handles traffic scaling without manual intervention.
Deploying code is straightforward without worrying about deployment or integration.
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 (%) |
|---|---|
| Red Hat OpenShift | 7.4% |
| Google App Engine | 2.6% |
| Other | 90.0% |

| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 7 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 19 |
| Midsize Enterprise | 6 |
| Large Enterprise | 53 |
Google App Engine offers seamless platform integration, automatic scaling, and zero infrastructure maintenance, enhancing development efficiency. Its serverless architecture with robust security measures supports diverse programming needs and simplifies deployment, making it a top choice for modern applications.
Designed for effortless web application deployment and API management, Google App Engine integrates smoothly with Google Cloud services, offering automatic scaling without the burden of infrastructure upkeep. Developers enjoy a cost-effective serverless platform that optimizes performance and reduces operational workload. Despite its intuitive interface and real-time logging advantages, areas needing improvement include documentation and community engagement. Expansion on language support, technical backing, pricing strategies, error logging, and advanced deployment tools is essential. Scalability and control flexibility require attention to resolve performance and customization issues. Enhancing migration paths and security features would significantly boost user satisfaction and platform reliability.
What are Google App Engine's most important features?Industries like finance and manufacturing utilize Google App Engine for cloud migration and scaling SaaS applications efficiently. Its ability to seamlessly integrate with services like Pub/Sub and Stackdriver supports complex projects, while cloud-native tools like Cloud Run and Kubernetes Engine facilitate microservice communication.
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.
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