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 logs are important for detecting problems in our clusters."
"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."
"The product has no downtime."
"It is easy to use and deploy."
"The most valuable feature of Google Kubernetes Engine is how you can automatically scale and load balance."
"We appreciate that it is quite easy to set up a Kubernetes cluster in Google Cloud, using the managed services within this solution."
"The product’s dashboard is very intuitive."
"Google Kubernetes Engine's most valuable feature is container deployment."
"The ease of use if the solution is a very valuable aspect for us."
"I like the replication center and the configuration."
"It's scalable."
"This product has a rich toolset from the community including CNI plug-ins, Helm packages, operators, dashboards, various integrations, etc."
"You have different pods that interact with each other, so you can identify problems with one pod and replace it."
"The most valuable features of Kubernetes are the integration with Docker and there is plenty of documentation available. We work with Docker as a container, and it is more integrated with Docker than VMware Tanzu."
"The most valuable features of Kubernetes have been autoscaling and its resilience mechanisms."
"The solution is easy to use."
"I would rate the scalability a seven out of ten."
"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."
"I use the Firebase tool with GKE and it would be helpful if the solution can give notifications when we reach the budget limit."
"Google Kubernetes Engine is less stable in some highly complex deployments with many nodes."
"The network configuration has to be simplified."
"Their documentation is a little here and there. Sometimes, the information is not clear or updated. Their documentation should be a little bit better."
"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 pricing could be more competitive. It should be cheaper."
"The first time it was a little bit complex to setup the solution."
"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."
"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."
"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."
"The dashboard, monitoring, and login need improvements."
"We would like to see more validation tools added to this solution, this would provide pre-deployment analysis that developers could use before publishing their infrastructure."
"It's complex to manage and requires specialists."
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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