Google Kubernetes Engine vs HPE Ezmeral Container Platform comparison

"The logs are important for detecting problems in our clusters."

"Stability is perfect for me."

"The solution is available across AWS, GCP and Azure and is seamless."

"GKE's plugin management and configuration sync are excellent features. The amount of data it provides is good, and I've been able to integrate it with the things I need."

"The initial setup was very easy because it's like a Google platform as a service. It's just one button to set it up. The deployment took only a few minutes."

"Google Kubernetes Engine (GKE) takes care of managing Kubernetes, including the main control plane. It also offers solutions for monitoring resources and handling external traffic, which is essential for us. Being a cloud-native solution, it relieves us from worrying about these operational aspects."

"It is easy to use and deploy."

"The most valuable feature of Google Kubernetes Engine is how you can automatically scale and load balance."

"If customers focus on primary apps or if they are using them for data science, this is a good solution."

"The network configuration has to be simplified."

"Our critique is that we have to do too much work to get the cluster production-ready."

"We would like to see some improvement in the ease of integration with this solution."

"The primary area for improvement would be the complexity involved when working with Google Kubernetes Engine, especially when using Terraform."

"I would like to see the ability to create multiple notebook configurations."

"t is not very stable."

"Their documentation is a little here and there. Sometimes, the information is not clear or updated. Their documentation should be a little bit better."

"The notifications are not informative."

"The modernization in Ezmeral could be improved."

"The tool's licensing costs are yearly."

"This is an open source solution, so there is no pricing or licensing."

"The price for Google Kubernetes Engine could be lower - I'd rate its pricing at three out of five."

"The product is a little bit expensive."

"We are planning to use external support, and hire a commercial partner for it."

"The pricing for GKE is dependent on the type of machine or virtual machine (VM) that is selected for the nodes in the cluster. There is a degree of flexibility in choosing the specifications of the machine, such as the number of CPUs, GPUs, and so on. Google provides a variety of options, allowing the user to create the desired cluster composition. However, the cost can be quite steep when it comes to regional clusters, which are necessary for high availability and failover. This redundancy is crucial for businesses and is required to handle an increase in requests in case of any issues in one region, such as jumping to a different region in case of a failure in the Toronto region. While it may be tempting to choose the cheapest type of machines, this may result in a limited capacity and user numbers, requiring over-provisioning to handle additional requests, such as those for a web application."

"Currently, it costs around $1000 per month which sorted our deployment. So once we get more clients, having a huge suffix, costs can go up."

"I rate the product's price a six on a scale of one to ten, where one is low price and ten is high price. The product is competitively priced."