Kubernetes Dashboard: Features, Limitations, and Alternatives
The Kubernetes Dashboard is a web-based interface that simplifies deploying and managing applications in Kubernetes clusters. While the dashboard offers UI-based deployment and resource monitoring, enterprises often face challenges that limit its use.
Kubernetes provides a command-line tool called kubectl for core operations. However, two major challenges exist for enterprise adoption:
- Developers face a steep learning curve to deploy applications efficiently.
- SREs and operations teams spend significant time monitoring and troubleshooting multiple clusters.
The Kubernetes Dashboard bridges some of these gaps by allowing DevOps, SRE, and Ops teams to view cluster workloads, deploy applications, and troubleshoot issues—all from a single interface.
Key Features of Kubernetes Dashboard
The dashboard is valuable primarily for two reasons:
- Cluster-wide visibility and troubleshooting
- UI-based deployments
Cluster-Wide Visibility and Troubleshooting
The dashboard provides a comprehensive view of workloads, services, and configurations across a cluster. Engineers can monitor Deployments, Pods, ReplicaSets, StatefulSets, and Jobs in every namespace.
Workload View
Within the workload view, users can perform granular searches based on namespaces. The dashboard highlights resource usage, creation dates, restart counts, and other critical metrics for each workload.
Pods View
Pod-level insights include:
- Metadata, labels, and annotations
- CPU and memory usage
- Creation date and restart history
- Logs, events, and persistent volume claims
Service and Ingress View
The dashboard also tracks Services and Ingress objects, displaying namespace affiliation, labels, endpoints, and Cluster IPs. This visibility helps troubleshoot network routing and service health efficiently.
Configuration and Storage View
Persistent Volume Claims (PVCs) and configuration maps can be viewed and edited directly through the dashboard. Users can track storage class, annotations, and resource status without leaving the UI.
UI-Based Deployment
Developers can deploy workloads using the UI by creating manifest files in the browser or uploading from Git. The dashboard interacts directly with Kubernetes API servers to provision resources, making deployments faster and less error-prone.
Kubernetes Dashboard Architecture
The dashboard is an external service built atop the Kubernetes architecture. It relies on API servers for both reading cluster information and deploying resources. Both CLI tools and the dashboard require access to the kube-apiserver.
Getting Started with Kubernetes Dashboard
Step 1: Deploy Kubernetes Dashboard
kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.3.1/aio/deploy/recommended.yaml
To access the dashboard locally:
kubectl proxy
Visit the dashboard at:http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/
Step 2: Create a Service Account
The dashboard installs with minimal RBAC permissions. Create a service account and bind it to a cluster-admin role using YAML to generate a bearer token for secure access.
Limitations of Kubernetes Dashboard
While helpful, the dashboard has several constraints for enterprise use:
- No multicluster view: Limited to single-cluster namespaces.
- Minimal RBAC: Fine-grained access control is absent.
- No SSO support: Single Sign-On is unavailable.
- No node management: Cannot edit nodes or their resources.
- Zero HELM chart visibility: HELM-based deployments are not supported.
- Limited application view: Focuses on objects rather than full application context.
- No audit logging: Deployment audit reports are missing.
- Advanced deployment strategies unavailable: Canary and blue-green deployments cannot be applied via UI.
Because of these gaps, many organizations turn to open-source alternatives that enhance monitoring, deployment, and scalability.
Open-Source Alternatives to Kubernetes Dashboard
1. Devtron Kubernetes Dashboard
Devtron offers a Kubernetes-native DevOps platform that automates CI/CD, GitOps, security, progressive deployment, and observability. It simplifies life for DevOps, SREs, and developers by providing a single pane for monitoring and managing clusters.
2. OpenLens
OpenLens is an MIT-licensed multicluster management tool. It supports workload monitoring, HELM resource management, and basic resource grouping. However, advanced multicluster HELM chart management may require additional configuration.
3. Octant
Originally developed by VMware, Octant is an open-source tool for UI-driven deployments. While useful for developers, it lacks ongoing community support and advanced cluster management features.
For enterprises looking to implement these dashboards efficiently, ZippyOPS provides consulting, implementation, and managed services covering DevOps, DevSecOps, DataOps, Cloud, Automated Ops, AIOps, MLOps, Microservices, Infrastructure, and Security. Our solutions integrate seamlessly with dashboards and advanced Kubernetes tools for enterprise readiness.
Learn more about our products and solutions, or watch demo videos on our YouTube channel.
Conclusion
The Kubernetes Dashboard provides essential visibility and UI-based deployment for single-cluster environments, but it has limitations for larger enterprises. Open-source alternatives like Devtron and OpenLens offer enhanced features and multicluster support, making them ideal for complex DevOps workflows.
To streamline your Kubernetes operations, implement secure deployments, and gain full cluster observability, enterprises can leverage ZippyOPS’ expert services. For professional consultation and demos, contact: sales@zippyops.com.
