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."We appreciate that it is quite easy to set up a Kubernetes cluster in Google Cloud, using the managed services within this solution."
"I am satisfied with the stability offered by the solution."
"We hardly have a breakdown. It's been very stable."
"The most valuable feature of Google Kubernetes Engine is how you can automatically scale and load balance."
"It is easy to use and deploy."
"The solution is available across AWS, GCP and Azure and is seamless."
"The logs are important for detecting problems in our clusters."
"Google Kubernetes Engine is used for orchestrating Docker containers. We have 30 or 40 customers working with this solution now. We'll probably see 10 to 15 percent growth in the number of customers using Google Kubernetes Engine in the future."
"It is a stable and scalable product."
"The most valuable feature of Kubernetes is automation. It is the best tool for automation."
"This product has a rich toolset from the community including CNI plug-ins, Helm packages, operators, dashboards, various integrations, etc."
"I like that it gives you all the flexibility, for example, auto-scaling. Everything is figured out exactly right. It manages all your workloads without much intervention. It can scale in, scale out, and with security. Everything looks pretty good compared to the old legacy way of working."
"This solution provides a comprehensive way to scale up our ports and containers, without having to use multiple products."
"We use it for various large microservice-based architectures and web services. That's the ideal use case, but it's suitable for any kind of service that can be decomposed and needs to be scaled. Of course, it's much easier to deploy services that are stateless. It"
"It is a very good solution for deploying microservices in an application. It has a lot of freedom in it, which makes it very interesting. It is also web-enabled. You can run services in other virtual applications and virtual machines."
"The performance is good."
"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."
"There are some security issues, but it might just be because we are not up to speed yet as much as we should be and so we haven't found it in the documentation yet. That's why I don't want to confuse this. Still, it could be a little bit easier to understand and implement."
"The user interface could be improved."
"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."
"I would like to see the ability to create multiple notebook configurations."
"The solution does not have a visual interface."
"Google Kubernetes Engine is less stable in some highly complex deployments with many nodes."
"It would be very interesting if they could introduce a template engine to set dynamic values in the deployment time. It would be ideal if it could be native in Kubernetes as it would be much easier."
"Kubernetes' VM functionality and security could be improved."
"There is not a large ecosystem surrounding Kubernetes, making it difficult to identify the right problem due to the vast number of solutions."
"There are features in Google Cloud or AWS that aren't in Azure. They need to implement a couple more tools in Azure."
"The setup process could be improved as it's quite complex, especially for newbies."
"The first time it was a little bit complex to setup the solution."
"Security could be improved. It would be helpful if there were other security modules built into Kubernetes."
"The price is something they need to improve."
Google Kubernetes Engine is ranked 9th in Container Management with 32 reviews while Kubernetes is ranked 4th in Container Management with 68 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.
