We performed a comparison between Google Kubernetes Engine and Kubernetes based on real PeerSpot user reviews.
Find out in this report how the two Container Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The product’s dashboard is very intuitive."
"I am impressed with the product's output scaling."
"It's easy to manage and deploy. It's the best."
"The most valuable feature of Google Kubernetes Engine is how you can automatically scale and load balance."
"We used automation for the initial setup. It was okay. So it wasn't too complex."
"Before using this solution, it was a lot of manual tasks and a lot of people participated in the process."
"The product has valuable security features. It can connect with multiple DevOps tools."
"The initial setup is very easy. We can create our cluster using the command line, or using our console."
"This product has a rich toolset from the community including CNI plug-ins, Helm packages, operators, dashboards, various integrations, etc."
"I am impressed with the product's coupling of resources and flexibility."
"The best thing about Kubernetes is orchestration. It is very good. We will not see much downtime unless there are some human errors. We do not see much downtime or issues with the container or automation."
"Provision of a managed platform as a service."
"Kubernetes' most valuable features include scalability and deployment."
"The auto-repair function in Kubernetes is perfect. When something breaks, the auto-repair function automatically repairs it. If you are running the content in Kubernetes, you have a good set up. You do not need to do anything for the management of this. So, the automation of Kubernetes is number one."
"The autoscaling feature is the most valuable. Kubernetes itself is an orchestration tool. It automatically detects the load, and it automatically spins up the new Pod in the form of a new microservice deployment."
"If you're switching from VMs to Kubernetes, you will see a return because you can pack more into the Kubernetes architecture using containers rather than VMs. You'll see some more savings on your infrastructure, as well."
"The monitoring part requires some serious improvements in Google Kubernetes Engine, as it does not have very good monitoring consoles."
"I would like the solution to integrate with another Kubernetes product. I would also like it to monitor other platforms. It needs to also include scale-up container in the tool's next release."
"There is a limitation for our infrastructure. It's very complex to see in one dashboard all the components and all the behavior on performance. I am looking for some additional tools for that. If I want to check the disk or file storage, it gets complex. There should be an integrated dashboard so that we can manage everything through a single pane."
"I use the Firebase tool with GKE and it would be helpful if the solution can give notifications when we reach the budget limit."
"The notifications are not informative."
"The user interface is a bit confusing sometimes. You need to navigate between the various consoles we have. It's hard to figure out where things are. It's frustrating. The documentation could be a bit better."
"Our critique is that we have to do too much work to get the cluster production-ready."
"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."
"Overall, it's very powerful, but there are also a lot of complexities to manage."
"I'm expecting more improvement on the UI development side, which can be reflected in each object that is part of Kubernetes, like the Pod, deployment set, ReplicaSet, ConfigMap, Secrets, and PersistentVolume."
"The setup and operation of the product should be simplified."
"Some Kubernetes technical support would be helpful."
"The solution lacks some flexibility."
"The platform could be more convenient to use."
"The price is something they need to improve."
"In the financial service sector, I'd rate scalability an eight out of ten. But do it in a controlled manner, not auto-scaling. If your application has a bug and you enable the autoscaler, it will spike your costs. If someone deploys an application with a bug, that's automatically a problem."
Google Kubernetes Engine is ranked 9th in Container Management with 32 reviews while Kubernetes is ranked 4th in Container Management with 67 reviews. Google Kubernetes Engine is rated 8.0, while Kubernetes is rated 8.6. 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 Kubernetes writes "Container orchestrator that deploys our machine learning solutions". Google Kubernetes Engine is most compared with Linode, Rancher Labs, VMware Tanzu Mission Control, OpenShift Container Platform and Amazon Elastic Container Service, whereas Kubernetes is most compared with VMware Tanzu Mission Control, Amazon EKS, Nutanix Kubernetes Engine NKE, OpenShift Container Platform and HPE Ezmeral Container Platform. See our Google Kubernetes Engine vs. Kubernetes report.
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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.
