Dashboard Cards

Cards are the building blocks of your dashboards. Each card shows specific information that you can resize, move, and configure.

Card Features

Every card has:

• Drag handle - Move it around
• Menu button - Configure, replace, or remove
• AI button - Ask AI about this card
• Expand button - Make it full screen
• Refresh indicator - See when data was last updated

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All 120+ Card Types

The console ships with 120+ built-in cards, and you can create more using the Card Factory. Below are the main categories.

Cluster Health Cards (7)

#	Card	What it shows
1	Cluster Health	Health status of all clusters with green/red/gray indicators
2	Cluster Metrics	Time-series graphs of CPU, memory, pods, nodes
3	Cluster Focus	Detailed view of specific cluster
4	Cluster Comparison	Side-by-side comparison of multiple clusters
5	Cluster Costs	Cost breakdown per cluster
6	Upgrade Status	Version info and available upgrades
7	Cluster Resource Tree	Hierarchical view of cluster resources

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Workload Cards (6)

#	Card	What it shows
8	Deployment Status	Donut chart of deployment health
9	Deployment Issues	Table of deployments with problems
10	Deployment Progress	Rollout progress gauge
11	Pod Issues	Table of pods with problems (crashes, OOM, etc.)
12	Top Pods	Bar chart of top resource-consuming pods
13	App Status	Overall application health status

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Compute Cards (8)

#	Card	What it shows
14	Compute Overview	Summary of CPU, memory, nodes, pods, GPUs
15	Resource Usage	Gauge showing CPU/memory/GPU utilization
16	Resource Capacity	Bar chart of used vs available resources
17	GPU Overview	Summary of GPU resources and utilization
18	GPU Status	Donut chart of GPU allocation
19	GPU Inventory	Table of GPU nodes with types and counts
20	GPU Workloads	Table of workloads using GPUs
21	GPU Usage Trend	Time-series graph of GPU utilization

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Storage Cards (2)

#	Card	What it shows
22	Storage Overview	Summary of storage resources
23	PVC Status	Table of Persistent Volume Claims

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Network Cards (3)

#	Card	What it shows
24	Network Overview	Summary of network resources
25	Service Status	Table of services
26	Cluster Network	Network status per cluster

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GitOps Cards (7)

#	Card	What it shows
27	Helm Release Status	Status of Helm releases
28	Helm History	Event timeline of Helm deployments
29	Helm Values Diff	Compare Helm values between releases
30	Chart Versions	Available chart version updates
31	Kustomization Status	Status of Kustomize overlays
32	Overlay Comparison	Compare Kustomize overlays
33	GitOps Drift	Detect when clusters don’t match git

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ArgoCD Cards (3)

#	Card	What it shows
34	ArgoCD Applications	Status of ArgoCD apps
35	ArgoCD Sync Status	Donut chart of sync status
36	ArgoCD Health	Health status of ArgoCD

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CNCF Ecosystem Cards (6)

#	Card	What it shows
118	KubeVela	Controller health, OAM application delivery status, workflow progress, component/trait counts
119	KEDA	Operator health, scaled object stats with replica progress bars, trigger details
120	Strimzi Kafka	Cluster health, broker readiness, topic status, consumer group lag
121	OpenFeature	Provider health (flagd, LaunchDarkly, Split), feature flag stats, evaluation counts
122	Drasi Reactive Graph	Reactive data pipeline visualization — sources, continuous queries, reactions with animated flow lines, live SSE streaming, full CRUD, CodeMirror Cypher editor, per-language stream-consumer code samples, flow discovery. Supports drasi-server, drasi-platform, and drasi-lib. See Drasi Dashboard for full docs.
123	Keycloak Monitoring	Keycloak instance health, realm counts, client counts, user session metrics

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Operator Cards (3)

#	Card	What it shows
37	Operator Status	Status of OLM operators
38	Operator Subscriptions	Table of operator subscriptions
39	CRD Health	Health of Custom Resource Definitions

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Namespace Cards (4)

#	Card	What it shows
40	Namespace Overview	Summary of namespace resources
41	Namespace Quotas	Gauge of quota usage
42	Namespace RBAC	Table of RBAC rules
43	Namespace Events	Event stream for namespace

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Security & Events Cards (3)

#	Card	What it shows
44	Security Issues	Table of security problems
45	Event Stream	Live event feed
46	User Management	Table of console users

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Live Trend Cards (4)

#	Card	What it shows
47	Events Timeline	Time-series of events
48	Pod Health Trend	Time-series of pod health
49	Resource Trend	Time-series of resource usage
50	GPU Utilization	Time-series of GPU usage

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AI Cards (3)

#	Card	What it shows
51	AI Issues	Issues detected by AI
52	Kubeconfig Audit	Audit of your kubeconfig
53	AI Health Check	AI health check gauge

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Alerting Cards (2)

#	Card	What it shows
54	Active Alerts	Currently firing alerts
55	Alert Rules	Table of alert rules

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Cost Cards (3)

#	Card	What it shows
56	Cluster Costs	Cost per cluster
57	OpenCost Overview	OpenCost integration data
58	Kubecost Overview	Kubecost integration data

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Policy Cards (2)

#	Card	What it shows
59	OPA Policies	OPA Gatekeeper policies
60	Kyverno Policies	Kyverno policy status

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Compliance Cards (5)

#	Card	What it shows
61	Compliance Score	Overall compliance percentage (CIS, NSA, PCI)
62	Compliance Findings	Table of compliance findings by severity
63	Security Posture	Combined security posture overview
116	Compliance Trestle (OSCAL)	OSCAL-based compliance assessment — overall score, per-profile breakdowns (NIST 800-53, FedRAMP), per-cluster status
117	Recommended Policies	AI-powered fleet-wide compliance gap analysis — identifies missing policies with-click Deploy All

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Provider Health Cards (1)

#	Card	What it shows
64	Provider Health	Status of AI providers (Claude, OpenAI, Gemini) and cloud providers

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Workload Monitor Cards (2)

#	Card	What it shows
65	Workload Status	Cascading cluster/namespace/workload selector with resource details
66	Resource Allocation	Resource allocation across clusters

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llm-d Inference Cards (10)

#	Card	What it shows
67	llm-d Request Flow	Animated request flow through the inference stack with throughput/latency metrics
68	KV Cache Monitor	KV cache utilization, per-pod cache stats, aggregated/per-pod toggle
69	EPP Routing	Endpoint Picker routing decisions with RPS and routing distribution
70	P/D Disaggregation	Prefill and Decode server load, queue depth, throughput, TPOT, GPU memory
71	llm-d Benchmarks	Stacks vs Comparison vs Latency views with TTFT, throughput, bar charts
72	llm-d AI Insights	AI-generated insights about balanced P/D configuration and optimization
73	llm-d Configurator	Configure inference strategies: Intelligent Scheduling, P/D Disaggregation, Wide Expert Parallelism, Variant Autoscaling

#	Card	What it shows
74	llm-d Stack	Stack health, component status, model serving details with cluster discovery
75	llm-d Models	Loaded models with namespace, cluster, and GPU allocation
76	llm-d Inference Servers	Running inference servers with status and throughput

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PROW CI Cards (3)

#	Card	What it shows
77	PROW CI Monitor	Overall PROW health: success rate, job counts (running, pending, failed)
78	PROW Jobs	Filterable job list with type, state, PR number, duration, and age
79	PROW History	Revision history with pass/fail trends

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Hardware Health Card (1)

#	Card	What it shows
80	Hardware Health	GPU/accelerator node health with alerts, inventory, IPMI-style monitoring. Shows critical/warning counts, device search, and per-device status with disappearance tracking

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Predictive Health Card (1)

#	Card	What it shows
81	Predictive Health Monitor	AI-powered failure prediction with offline node count, GPU issues, and predicted failures. Shows confidence levels, severity, and correlates with traffic patterns

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ML Job & Notebook Cards (2)

#	Card	What it shows
82	ML Jobs	Running ML training jobs (Kubeflow, Ray, custom) with GPU count, ETA, and status
83	ML Notebooks	Active Jupyter/notebook servers with user, resources, and status

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Kagenti AI Agent Cards (7)

#	Card	What it shows
84	Kagenti Overview	Agent count, MCP tools, builds, framework breakdown (LangGraph, CrewAI, AG2)
85	Agent Fleet	Searchable agent list with cluster, framework, replicas, and status
86	Agent Topology	Visual topology of agent relationships and dependencies
87	SPIFFE Identity	SPIFFE identity coverage and certificate status
88	Agent Builds	Build history with status (succeeded, failed, building)
89	Agent MCP Tools	MCP tool inventory per agent
90	Agent Logs	Aggregated agent logs with filtering

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Deploy Cards (5)

#	Card	What it shows
91	Workloads	All workloads with status, drag-to-deploy to cluster groups
92	Cluster Groups	Target groups (production, staging, edge) with health
93	Deployment Missions	AI-assisted deployment missions with status tracking
94	Resource Marshall	Cascading cluster/namespace/workload selector for resource placement
95	Deployment History	Timeline of recent deployments with rollback options

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GPU Node Health Monitor (1)

#	Card	What it shows
96	GPU Node Health Monitor	Proactive GPU health checks across 4 tiers (Critical, Standard, Full, Deep). CronJob management, per-node results, alert integration, AI Diagnose button

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Flatcar Container Linux Card (1)

#	Card	What it shows
97	Flatcar Container Linux Status	Flatcar node count, OS version distribution, update status and health

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Nightly E2E Test Cards (1)

#	Card	What it shows
98	Nightly E2E Status	Run history dots (green=pass, red=fail, amber=GPU unavailable, blue=running), per-run metadata, log/artifact links, AI Diagnose on failures

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Community-Contributed Cards (2)

Card	What it shows
Crossplane Managed Resources	Managed resource count, provider health, composite resource status, resource table with sync/ready status
Cloud Native Buildpacks	Build counts, success rates, active builders, recent builds with duration and builder info

AI Codebase Maturity (ACMM) Cards (4)

#	Card	What it shows
124	ACMM Level	L1–L5 ring gauge showing the scanned repo’s AI codebase maturity level, role, and next-level progress
125	ACMM Balance	Weekly AI vs human contribution bar chart with a level-anchored target slider
126	ACMM Feedback Loops	Inventory of 33 feedback loops filtered by source and detected/missing status
127	ACMM Recommendations	Role-aware top-5 missing criteria prioritized for reaching the next level

All four cards are driven by a single GitHub scan. See ACMM Dashboard for full docs.

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Additional Cards (44+)

The console includes 44+ additional specialized cards across categories like:

• Events - Event timeline and filtering
• Data Compliance - Data classification and compliance checks
• Arcade - 21 Kubernetes-themed games (AI Checkers, Kube Chess, Container Tetris, etc.)
• Card History - Track card changes over time
• User Management - Console user management
• Weather, Stocks, RSS - Widget-style cards for external data

Plus any custom cards you create using the Card Factory.

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Visualization Types

Cards use different ways to show data:

Type	Icon	What it looks like
Gauge	⏱️	Circular progress indicator
Table	📋	Rows and columns of data
Timeseries	📈	Line chart over time
Events	📜	Scrolling event feed
Donut	🍩	Pie/donut chart
Bar	📊	Bar chart
Status	🚦	Status indicators (green/yellow/red)

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Adding Cards

1. Click the Add Card button
2. Browse by category or search
3. Click a card to add it
4. Drag it where you want
5. Click the menu to configure it

Creating Custom Cards (Card Factory)

Don’t see the card you need? Create your own:

1. Open the Card Factory
2. Choose your method:
   • AI-Assisted - Describe what you want in plain English
   • JSON - Write a declarative card definition
   • TSX Code - Write a React component (compiled at runtime)
3. Preview your card
4. Add it to any dashboard

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Configuring Cards

Click the menu (three dots) on any card:

• Configure - Change settings like filters, refresh interval
• Replace - Swap for a different card type
• Remove - Take it off your dashboard

Common Configuration Options

• Clusters - Show data from specific clusters
• Namespaces - Filter to specific namespaces
• Refresh interval - How often to update
• Show count - How many items to display

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AI Card Suggestions

In High AI mode, the console watches what you look at and suggests new cards:

1. AI notices you’re focusing on pods
2. It suggests adding the Pod Issues card
3. You can Accept, Snooze (1 hour), or Dismiss

This helps your dashboard evolve with your needs!