Highly extensible platform for developers to better understand the complexity of Kubernetes clusters.
Features
Kubernetes Dashboards - Provides a graphical interface for browsing, inspecting, and managing Kubernetes cluster resources and workloads.
Visual Workload Managers - Manages Kubernetes workloads and resources via a visual dashboard, replacing command-line operations with point-and-click interactions.
Kubernetes Object Graph Models - Ships a navigable graph model of Kubernetes resources with color-coded status indicators for visual inspection.
Integrated Kubernetes Debugging Tools - Debugs Kubernetes workloads by streaming pod logs, forwarding ports, and inspecting object details from a single interface.
Active Namespace Switching - Changes active namespace or Kubernetes context across clusters with support for multiple kubeconfig files.
Client Cluster Contexts - Manages multiple kubeconfig files and contexts for seamless navigation between Kubernetes clusters and namespaces.
Kubernetes Cluster Explorers - Provides a graphical web interface for navigating and inspecting Kubernetes resources across namespaces.
Tree-View Resource Navigators - Ships a tree-view navigator displaying Kubernetes objects with metadata, status, and relationships.
Cluster Management Dashboards - Provides a web interface to view, filter, and interact with pods, deployments, services, and other resources.
Context and Namespace Switchers - Switches between Kubernetes namespaces, contexts, and clusters from multiple kubeconfig files.
Resource Navigation Panels - Provides a web-based dashboard for browsing and inspecting Kubernetes objects running in a cluster.
Cluster Visualization Tools - Explores and inspects Kubernetes cluster resources through a graphical web interface with object relationship diagrams.
Multi-Cluster Dashboard Managers - Switches between multiple Kubernetes clusters, contexts, and namespaces from a unified web dashboard.
Plugin-Extensible Dashboards - Extends a Kubernetes dashboard with custom UI components and actions through a gRPC-based plugin system.
gRPC Plugin Dashboards - Provides a gRPC-based plugin system for extending the dashboard with custom components and actions.
Kubernetes Resource Browsers - Displays all Kubernetes objects in a namespace with filtering and search to help understand cluster state.
Plugin-Based Extensibility - Adds custom components and functionality to existing views through a gRPC-based plugin system.
Workload Visualization Tools - Provides a visual dashboard for viewing and interacting with Kubernetes workloads with point-and-click interface.
Kubernetes Workload Dashboards - Provides a dashboard to view and interact with Kubernetes workloads, replacing command-line operations with a visual tool.
Kubernetes Object Detail Panels - Displays full metadata, spec, and status of any Kubernetes resource in a structured panel.
Dashboard Action Registrations - Registers new actions in a plugin that runs arbitrary code when triggered by a user interaction.
Kubernetes Object Detail Panels - Shows the full specification, status, events, and logs of a selected Kubernetes object in a structured panel.
Typed Message Action Buses - Sends typed messages with payloads from the client to the server to change UI state or perform cluster operations.
Kubernetes Pod Port Forwarding - Opens local TCP ports to pod containers through the Kubernetes API server proxy on demand.
One-Click Pod Port Forwarding - Opens a local port to a running pod with a single click, supporting multiple pods across namespaces.
Plugin-Triggered Action Executions - Triggers user-defined operations on cluster resources through a plugin system that executes actions from the dashboard.
Log Streaming - Displays live log output from pods and containers for troubleshooting without opening separate terminals.
Browser Log Streams - Streams live pod and container log output to the browser without requiring terminal access.
Kubernetes Object Relationship Visualizers - Graphically displays relationships between Kubernetes objects with color-coded status indicators to show workload performance.