IT & cloud
Freelens is a community-maintained Kubernetes desktop interface for viewing clusters and managing their resources. It includes multiple clusters, workload visualization, and pod terminals. It is aimed at Kubernetes administrators working across several clusters.
Kubernetes administrators working across several clusters
A reachable Kubernetes cluster and suitable permissions are required. Flatpak sandboxing can complicate external cloud authentication helpers.
Editorial assessment based on the provider’s published information. Our method
The application is distributed under MIT. The listed desktop or mobile software can be used on an ongoing basis without a software subscription. A reachable Kubernetes cluster and suitable permissions are required.
MIT; A reachable Kubernetes cluster and suitable permissions are required.
The $0 price applies to the listed open source application. A reachable Kubernetes cluster and suitable permissions are required.
Brings multiple clusters and workload visualization into the same workflow.
Load the cluster credentials, inspect workloads and events, and open a pod terminal only when a closer investigation is needed.
A reachable Kubernetes cluster and suitable permissions are required.
Flatpak sandboxing can complicate external cloud authentication helpers.
Freelens fits Kubernetes administrators working across several clusters. Load the cluster credentials, inspect workloads and events, and open a pod terminal only when a closer investigation is needed.
A reachable Kubernetes cluster and suitable permissions are required. Flatpak sandboxing can complicate external cloud authentication helpers. Start with a small setup and verify credentials, network access, and recovery steps before expanding its role.
The application is distributed under MIT. The listed desktop or mobile software can be used on an ongoing basis without a software subscription. A reachable Kubernetes cluster and suitable permissions are required.
Yes. Freelens includes multiple clusters. Load the cluster credentials, inspect workloads and events, and open a pod terminal only when a closer investigation is needed.
A reachable Kubernetes cluster and suitable permissions are required.
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