We performed a comparison between Google Kubernetes Engine and IBM Cloud Kubernetes Service based on real PeerSpot user reviews.
Find out what your peers are saying about Red Hat, Amazon Web Services (AWS), VMware and others in Container Management."We used automation for the initial setup. It was okay. So it wasn't too complex."
"The scalability is the best feature."
"The deployment of the cluster is very easy."
"I am impressed with the product's output scaling."
"The product has valuable security features. It can connect with multiple DevOps tools."
"The main advantage of GKE is that it is a managed service. This means that Google is responsible for managing the master node in the Kubernetes cluster system. As a result, we can focus on deploying applications to the slaves, while Google handles any updates and security patches. The fact that GKE is fully integrated into the Google ecosystem, including solutions such as BigQuery and VertexAI. This makes it easier for us to integrate these tools into our process. This integration ultimately speeds up our time to market and reduces the time and effort spent on managing infrastructure. The managed aspect of GKE allows us to simply deploy and utilize it without having to worry about the technicalities of infrastructure management."
"I am satisfied with the stability offered by the solution."
"The product’s dashboard is very intuitive."
"We deploy the solution in parts so we can easily manage the parts to improve the robustness and reliability of the software."
"IBM Cloud Kubernetes Service has enough flexibility that we needed."
"I think that security is an important point, and there should be additional features for the evaluation of data in containers that will create a more secure environment for usage in multi-parent models."
"The product’s visible allocation feature needs improvement."
"The product's stability is an area of concern where improvements are required."
"I would like to see the ability to create multiple notebook configurations."
"While the GKE cluster is secure, application-level security is an essential aspect that needs to be addressed. The security provided by GKE includes the security of communication between nodes within the cluster and the basic features of Kubernetes security. However, these features may not be sufficient for the security needs of an enterprise. Additional security measures must be added to ensure adequate protection. It has become a common practice to deploy security tools within a Kubernetes cluster. It would be ideal if these tools were included as part of the package, as this is a standard requirement in the industry. Thus, application-level security should be integrated into GKE for improved security measures."
"Google Kubernetes Engine is less stable in some highly complex deployments with many nodes."
"There is room for improvement in this solution. For example, auto-scaling can be complex. We expect it to be easier to set up and manage, even for our customers."
"The notifications are not informative."
"IBM Cloud Kubernetes Service's log management should be improved because it is a bit complicated."
"IBM Cloud Kubernetes Service is not user-friendly, they could improve the user interface, and add more features to compete with Amazon AWS which is better."
Google Kubernetes Engine is ranked 9th in Container Management with 32 reviews while IBM Cloud Kubernetes Service is ranked 5th in Containers as a Service (CaaS) with 2 reviews. Google Kubernetes Engine is rated 8.0, while IBM Cloud Kubernetes Service is rated 6.6. The top reviewer of Google Kubernetes Engine writes "The auto-scaling feature helps during peak hours, but the support is not great". On the other hand, the top reviewer of IBM Cloud Kubernetes Service writes "A stable solution that can be deployed in parts to improve its robustness and reliability". Google Kubernetes Engine is most compared with Linode, Kubernetes, VMware Tanzu Mission Control, OpenShift Container Platform and Rancher Labs, whereas IBM Cloud Kubernetes Service is most compared with Prisma Cloud by Palo Alto Networks.
We monitor all Container Management 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.
