

Google Kubernetes Engine and Red Hat OpenShift Container Platform compete in container management systems. GKE seems to have the upper hand with its integration and ease of use, while OpenShift excels in security and advanced management features.
Features: GKE is renowned for its seamless integration with Google Cloud, offering strong machine learning capabilities, automatic updates, and excellent microservices support. Its autoscaling features allow efficient resource management. OpenShift emphasizes security, offers extensive DevOps tools, and advanced cluster management. It supports complex deployments and provides detailed control over deployments along with strong security and compliance features.
Room for Improvement: GKE needs improvement in backup systems, configuration simplicity, and enhanced application-level security. Users have called for better application security and a reliable backup system. OpenShift could improve in documentation, platform integration, and pricing. Its setup complexity and resource demands have been seen as a barrier to simple applications.
Ease of Deployment and Customer Service: GKE is noted for ease of deployment on public clouds, fitting for environments leveraging Google's infrastructure. It eases hybrid and multi-cloud deployments but could offer better technical support. OpenShift offers deployment flexibility across on-premises and cloud environments, supports hybrid models, but its customer service and complex setup can be challenging.
Pricing and ROI: GKE provides competitive pricing but can be expensive when addressing high availability. It uses a pay-as-you-go model with no initial licensing cost, suitable for startups and businesses. OpenShift’s premium pricing reflects its enterprise-ready capabilities, which can be costly for smaller organizations. Yet, it offers considerable value for larger enterprises due to its comprehensive features.
By migrating from AWS to Google Cloud Platform, we have saved a lot of time and money.
They should prioritize skilled engineers for urgent issues.
The autoscaling capabilities of Google Kubernetes Engine have significantly impacted our operations.
I rate the scalability of Red Hat OpenShift Container Platform as a nine, as I haven't encountered any issues with scaling a cluster or applications.
Scalability is rated nine out of ten.
If I have 100 replicas of containers and the traffic suddenly pushes to 1,000 within a fraction of a second, the selected machine type must be fast.
There haven't been any issues so far; it remains stable with no downtime or crashes, and even the upgrades are handled seamlessly without issues.
When looking at the web interface, it feels kind of slow due to the many features involved.
Log observability could be made easier so someone from high school can use it without having technological expertise.
It would be helpful if I could easily find log information in a particular namespace without needing to write certain labels.
Notably, the platform plus is perceived as quite expensive and some features from an infrastructure perspective are lacking.
Red Hat OpenShift Container Platform is the best option, but as many companies and the world are mainly looking for security purposes, the clear text format needs to be adopted instead of any third party.
I would like to see advanced cluster management added in future releases, such as a single pane of glass to manage multiple clusters.
Instead, we only pay for the hardware we use, which results in cost-cutting.
The on-demand nodes are quite expensive.
Google is considered cheaper compared to AWS, making it suitable for smaller to medium companies concerning cost.
Notably, the platform plus is quite expensive according to the market.
The current licensing cost for this solution is around $23,000 per year, per month.
The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team.
The best advantage of Google Kubernetes Engine is that it manages Kubernetes for you, making everything related to the master nodes managed for you with automatic updating and upgrading.
GKE is easier to understand and use than Elastic Kubernetes Service.
Red Hat OpenShift Container Platform's policy-based governance has helped my organization maintain application security at scale because ACS is also there, and Red Hat is always maintaining things with hardening methods, always coming with hardened images, and we are frequently upgrading the minor and major versions, so it will be mitigated in that way.
In terms of features in Red Hat OpenShift Container Platform, I find the orchestration itself quite useful for my customers because it integrates with lots of tools.
The cluster scaling features, such as the auto-scaling of cluster nodes and application replicas using horizontal and vertical pod auto-scaling, significantly impact our operations.
| Product | Mindshare (%) |
|---|---|
| Red Hat OpenShift Container Platform | 16.6% |
| Google Kubernetes Engine | 2.5% |
| Other | 80.9% |

| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 6 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 4 |
| Large Enterprise | 40 |
Google Kubernetes Engine enables efficient microservices deployment with auto-scaling, multi-cloud integration, and a managed control plane, streamlining infrastructure management while offering strong security features.
Google Kubernetes Engine offers a platform for deploying and managing microservices-based applications, leveraging features like auto-scaling, seamless updates, and multi-region integration. Users benefit from a managed service with reduced infrastructure burdens and a strong emphasis on security. It supports container deployment and integrates with numerous tools, enhancing its capabilities significantly. Despite network configuration and UI complexity concerns, it efficiently supports both machine learning models and data workloads.
What are the key features?In industries like finance and retail, Google Kubernetes Engine supports large-scale data processing and real-time transaction handling. Its capabilities for orchestrating Docker containers and managing continuous integration pipelines are crucial for deploying comprehensive machine learning models and ensuring resilience and scalability across diverse environments.
Red Hat OpenShift Container Platform enhances productivity with advanced security, scalability, and automation. It supports deployment across environments and is designed for cloud-native applications, making it popular for its role-based access control and efficient networking routes.
Red Hat OpenShift Container Platform provides a user-friendly interface and integrated management capabilities that streamline operations. Its auto-scaling features and seamless environment deployment are complemented by robust security through policy-based governance and built-in pipeline management. Users benefit from its flexibility and efficiency when handling enterprise-level tasks. Despite its strengths, users suggest improvements in costs, documentation, and ease of use, citing a steep learning curve and challenges with installation and updates. Enhanced training and support are in demand, along with pricing considerations and refinement of user interfaces and deployment processes.
What are the key features of Red Hat OpenShift Container Platform?Organizations in banking, telecom, and finance utilize Red Hat OpenShift Container Platform to deploy applications and microservices efficiently. It assists in managing Kubernetes environments, enhancing DevOps workflows, and integrating robust CI/CD pipelines. The platform supports cloud-native transformations and compliance, ensuring security in deployments.
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