Google Kubernetes Engine vs. Red Hat OpenShift on IBM Cloud

Google Kubernetes Engine is well suited for dynamic and large workloads since it can scale up with usage. It is easily configurable, which allows for flexibility. User interface is simple to navigate, which reduces roadblocks for a team with people unfamiliar with Kubernetes. Great if you are already using other GCP services as it integrates well with that.

Incentivized

RedHat OpenShift is not only suited for IBM Cloud but can run in ANY cloud. We installed in Azure Cloud, for example. It can also run on Linux servers or a Power 9 machine. It is built for multi-cloud or on-prem environments. IBM support provides such excellent guidance in the installation and configuration that no other product on the market can beat it.

Incentivized

• Deployment of a new GKE cluster is really fast in comparison to other cloud providers.
• GCP is ahead other vendors and always provide the most up to date Kubernetes version.
• GKE automation for master upgrade and the worker nodes pool works really well.

Incentivized

• Multiclick provisioning of resources makes it super easy to manage pods and deployments. We don't have to maintain code for the same
• In built security features and customizability ensures that organization wide standards are integrated well into the containers
• Automated backups, scale ups and fail recovery makes sure of minimal down time

Incentivized

• Not as intuitive as it could be
• Documentation could be better, especially for people using other Google Cloud tools
• Not the preferred Kubernetes Engine for many apps

Incentivized

• I wish it had better compatibility with docker file syntax. We had issues when it couldn't build standard docker files
• Wish it had better documentation
• Wish they offered fully supported client libraries for the Openshift API rather than dumping it on a 3rd party

Incentivized

It's a great product if you learn it. It has flexibility and is very strong. Autoscaling and Resource management make running huge applications a breeze. Using Helm with Kubernetes and Terraform for infrastructure creation can totally automate your CICD pipeline. You also get easy access to CUDA cores for machine learning.

Incentivized

Google support is excellent and helpful, but the first answer is always so bureaucratic no matter how many logs, evidence, and information you sent.

Incentivized

I think response time for IBM Cloud support should be improved.

Incentivized

We had to move several products to Google Cloud, and the Google Kubernetes Engine was the option recommended to us, so we investigated it and ran with it. Back then (2019), we were not aware of Cloud Run-provisioned K8s clusters, so our other option was a completely self-managed K8s cluster on Compute Engine VMs, which we did not have the knowledge of and capacity to handle.

Incentivized

We evaluated a number of potential solutions and ultimately chose Red Hat OpenShift because it was compatible with our existing technology. Time and costs savings have been realized throughout the company since we implemented Red Hat OpenShift, and the IT department has been freed up to focus on activities that are more valuable.

Incentivized

• Compared to other big K8s providers it has the best price/performance factors.
• Upgrade process from stable to regular versions
• Old stable releases: 1.15/1.16 should be in a stable branch.

Incentivized

• Our customer satisfaction and NPS score has had positive outcomes based on new architecture
• We are focused on business outcomes vs running the service and maintenance
• OpenShift on IBM Cloud has had a direct, positive impact on TCO, ROI, and payback period
• Our staff is more focused on higher-level business activities, i.e. acquiring & customer retention

Incentivized