Technology Head of Delivery at SBICAP Securities Ltd.
Real User
Top 20
2024-08-28T07:29:31Z
Aug 28, 2024
One major issue we faced was that appliances couldn't migrate from VMware to the tool. However, this seems to be a common problem across platforms. We've seen the same issue when migrating from VMware to RHV or other solutions. It's not specifically a Nutanix problem but rather an issue migrating appliances from one VM infrastructure to another. Some kernel-level and storage-level issues impact this process.
NKE could benefit from additional features that support more advanced Kubernetes functionalities and configurations. Improvements in scalability for larger, multi-tenant environments and enhanced capabilities for managing high-performance computing needs would be advantageous. For AI applications, incorporating tools to support initial phases, such as data ingestion and model training, would enhance its utility.
Head of Data Center at National Center of Informatics
Real User
Top 20
2024-02-14T15:30:19Z
Feb 14, 2024
Areas for improvement in Nutanix Kubernetes Engine (NKE) include upgrading management capabilities and enhancing the user interface for improved usability. While basic tasks like cluster creation and scaling are straightforward, advanced functionalities such as replication and recovery may need to be performed optimally. Future versions of NKE should address these limitations to enhance functionality, particularly in troubleshooting, replication, and disaster recovery scenarios where NKE may fall short compared to other platforms like OpenShift.
There have been challenges related to software bugs, especially regarding long-term licensing options and issues within our customer network. They should test the software to resolve the issues before the next release.
Learn what your peers think about Nutanix Kubernetes Engine NKE. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
Engineer at a financial services firm with 51-200 employees
Real User
Top 20
2023-04-28T13:57:36Z
Apr 28, 2023
We have Oracle in production. We need a backup of production clusters. We need to ensure if something goes down, we have a backup ready to go that can handle the workload. We'd prefer Kubernetes would offer this instead of us having to go to a third-party solution. When we create clusters with two loads, the capacity is limited. If we want to override memory, we cannot.
Senior Systems Engineer at a retailer with 11-50 employees
Real User
Top 5
2021-12-13T22:48:00Z
Dec 13, 2021
There have been cases where we've deployed with Karbon and haven't seen that it includes errors. There's no way to see them without going into the logs. It would be helpful to have a more verbose GUI, more information, in order to know what's going on with the installation and the process. Karbon is a relatively new feature for Nutanix and the documentation is not completely up to date.
I would like to be able to do a dynamic resource increase and make adjustments. That would be a fantastic feature. It would automatically increase them and it would automatically discard them. In the next release, I would like to have automatic dynamic scaling, both upscaling and downscaling.
Nutanix Kubernetes Engine (NKE) is an enterprise Kubernetes management solution that simplifies provisioning, operations, and lifecycle management of Kubernetes.
One major issue we faced was that appliances couldn't migrate from VMware to the tool. However, this seems to be a common problem across platforms. We've seen the same issue when migrating from VMware to RHV or other solutions. It's not specifically a Nutanix problem but rather an issue migrating appliances from one VM infrastructure to another. Some kernel-level and storage-level issues impact this process.
NKE could benefit from additional features that support more advanced Kubernetes functionalities and configurations. Improvements in scalability for larger, multi-tenant environments and enhanced capabilities for managing high-performance computing needs would be advantageous. For AI applications, incorporating tools to support initial phases, such as data ingestion and model training, would enhance its utility.
Areas for improvement in Nutanix Kubernetes Engine (NKE) include upgrading management capabilities and enhancing the user interface for improved usability. While basic tasks like cluster creation and scaling are straightforward, advanced functionalities such as replication and recovery may need to be performed optimally. Future versions of NKE should address these limitations to enhance functionality, particularly in troubleshooting, replication, and disaster recovery scenarios where NKE may fall short compared to other platforms like OpenShift.
I have issues with the product's interoperability.
There have been challenges related to software bugs, especially regarding long-term licensing options and issues within our customer network. They should test the software to resolve the issues before the next release.
The user interface could be improved.
We have Oracle in production. We need a backup of production clusters. We need to ensure if something goes down, we have a backup ready to go that can handle the workload. We'd prefer Kubernetes would offer this instead of us having to go to a third-party solution. When we create clusters with two loads, the capacity is limited. If we want to override memory, we cannot.
I would like to have more nodes for availability and storage.
There have been cases where we've deployed with Karbon and haven't seen that it includes errors. There's no way to see them without going into the logs. It would be helpful to have a more verbose GUI, more information, in order to know what's going on with the installation and the process. Karbon is a relatively new feature for Nutanix and the documentation is not completely up to date.
I would like to be able to do a dynamic resource increase and make adjustments. That would be a fantastic feature. It would automatically increase them and it would automatically discard them. In the next release, I would like to have automatic dynamic scaling, both upscaling and downscaling.