We performed a comparison between Google Compute Engine and OpenShift based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Oracle and others in Infrastructure as a Service Clouds (IaaS)."From a feature perspective, I find API integration, automation capabilities, and features like preemptive and Spot instances valuable. Migration tools have also been useful."
"The most valuable feature is auto-scaling."
"Everything is simple and useful. The initial setup is not challenging."
"It's the most engineer-friendly product compared to Amazon AWS or Azure."
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"The main motive for choosing Google Compute Engine is pricing."
"The solution helps to direct SSH into the machine at the click of a button. It also helps to deploy container images right from the UI. There is no need to manage the containers on the machine. I also like the tool’s Spot provision model."
"The solution is readily available, and software engineers can provision it. It is scalable and allows self-service."
"The product's initial setup is very easy, especially compared to AWS."
"I like OCP, and the management UI is better than the open-source ones."
"It's cloud agnostic and the containerization and security features are outstanding."
"The most valuable feature is the auto scalers for all microservices. The feature allows us to place request limits and it is much cheaper than AWS."
"We are able to operate client’s platform without downtime during security patch management each month and provide a good SLA (as scalability for applications is processed during heavy client website load, automatically)."
"I love to automate everything and OpenShift was been born for that. It takes care of the network layer itself and I don't need to dive into it; I can work on a top level. Our project has numerous services designed to run in Docker containers, and we have run almost all pieces in OpenShift."
"Its security is most valuable. It's by default secure, which is very important."
"OpenShift offers more stability than Kubernetes."
"I rate the product's stability around five to six out of ten."
"The licensing process is not a very straightforward process."
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
"There have been instances when a customer has tried to deploy a certain number of VMs inside a project, and they come across quota issues."
"It is not very user-friendly for non-experienced users"
"It has some limitations. For example, you don't get through layer two connectivity. So I've had some difficulty deploying custom VMs. For example, you can't deploy a KVM file to file directly on GCP."
"I would like to improve the solution’s UI while deploying a container. It is sometimes hard to figure out the container’s details and format that you want to deploy. The tool does not give you a guide to find out the error and why the container is not starting up which could be because you have configured it wrong. This is always a hit on the setup."
"The biggest problem is that it's got a very archaean and complex security environment that has to be very carefully set up and is easy to break."
"One area for improvement is the documentation. They need to make it a little bit more user-friendly. Also, if you compare certain features and the installation process with Rancher, Rancher is simpler."
"This solution could be improved by offering best practices on standardization and additional guidance on how to use this solution."
"We want to see better alerting, especially in critical situations requiring immediate intervention. Until we go to the dashboard, it can be challenging to quickly recognize that there's an issue for us to deal with. Therefore, a popup of the event or a tweaked GUI to catch our attention when it's alerting would be a welcome change. Everything else is good. We don't need any additional features. From the operations perspective, as an administrator, there is nothing concerning."
"One of the features that I've observed in Tanzu Mission Control is that I can manage multiple Kubernetes environments. For instance, one of my lines of business is using OpenShift OKD; another one wants to use Google Anthos, and somebody else wants to use VMware Tanzu. If I have to manage all these, Tanzu Mission Control is giving me the opportunity to completely manage all of my Kubernetes clusters, whereas, with OpenShift, I can only manage a particular area. I can't manage other Kubernetes clusters. I would like to have the option to manage all Kubernetes clusters with OpenShift."
"If we can have a GUI-based configuration with better flexibility then it will be great."
"I want easier node management and more user-friendly scripts for installing master and worker nodes."
"We experienced issues around desktop security, that stopped us implementing a new feature that had been developed."
"OpenShift can improve monitoring. Sometimes there are issues. Additionally, the solution could benefit from protective tools if something was to happen in our network."
Google Compute Engine is ranked 11th in Infrastructure as a Service Clouds (IaaS) with 13 reviews while OpenShift is ranked 4th in PaaS Clouds with 53 reviews. Google Compute Engine is rated 8.8, while OpenShift is rated 8.4. The top reviewer of Google Compute Engine writes "A cost-effective and quite an elastic solution ". On the other hand, the top reviewer of OpenShift writes "Provides us with the flexibility and efficiency of cloud-native stacks while enabling us to meet regulatory constraints". Google Compute Engine is most compared with Microsoft Azure, Google App Engine, Oracle Cloud Infrastructure (OCI), IBM Public Cloud and Amazon AWS, whereas OpenShift is most compared with Amazon AWS, Pivotal Cloud Foundry, Microsoft Azure, Google Cloud and Azure Kubernetes Service (AKS).
We monitor all Infrastructure as a Service Clouds (IaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.