When comparing Google Cloud Platform vs OpenShift, the Slant community recommends Google Cloud Platform for most people. In the question“What are the best continuous deployment Kubernetes platforms?” Google Cloud Platform is ranked 1st while OpenShift is ranked 8th. The most important reason people chose Google Cloud Platform is:
Tensor Processing Units are bare-metal units designed to train your Machine Learning models faster. This is exclusive only to Google Cloud Platform.
Specs
Ranked in these QuestionsQuestion Ranking
Pros
Pro TPUs
Tensor Processing Units are bare-metal units designed to train your Machine Learning models faster. This is exclusive only to Google Cloud Platform.
Pro Free tier
GCP gives your 365 days of free trial and 300 US$ credit including a Always Free if you upgrade.
Pro Live-migrating VMs
Your VMs will still run even if there is a maintenance work going on to the tenant running your VM - thanks to Google's Live-migration system.
Pro Clear IAM roles
Unlike most Enterprise-grade IAM role systems, GCP has a clearer IAM permissions model, with Azure following.
Pro First-class Kubernetes support
Kubernetes is a project from Google's Borg. GCP is the first Kubernetes-Certified infrastructure.
Pro Secure and efficient to the core
Google datacenters are built with minimal security issues in mind while still reducing carbon footprint, making Google datacenters a much more greener infrastructure than competitors.
Pro Runs on the same infrastructure with Google's Services
Google's datacenters runs your favorite video streaming services and even Google itself. Discord also relies on GCP to handle its workloads.
Pro Small learning curve
Learning to use OpenShift is pretty easy. Most environments can be set up in a few simple steps and for everything else the official documentation and third-party resources are extremely helpful.
Pro Built-in continuous integration
Continuous integration is not only built-in OpenShift, it's actually a standard part the workflow.
Pro Can be used to introduce specialized tasks through the application hosted on it
Because of its high flexibility and customization power, OpenShift can be used to create specialized tasks for the application being hosted on it. For example, an entire array of dynos (also known as gears) can be dedicated to media transcoding in order to build a custom media converter infrastructure.
Cons
Con Expensive
GCP might be cheaper than AWS but it is more expensive than Azure. The main reason for this might be because of the extensive investment done for datacenters being efficient and green and secure.
Con Live Migrating VMs does not apply to GPU-attached VMs
Because this kind of VMs has a direct passthrough to the Processing Unit, this is not available and restart only will be available for the VM attached.
Con Unstable Egress/Ingress
Google Cloud Platform is a bit unstable with its egress and ingress. You may receive subtle blips when maintenance work is being carried on the routing.
Con Official customer support is lacking
OpenShift seems to rely more on written documentation and on the community to solve any problem users may have. The forums and IRC channel are active and very helpful, but the official customer support could be better.
