AI-native Kubernetes Operational Workspace
Project description
🚀 Kubsome
AI-native Kubernetes Operational Workspace
Faster debugging. Safer operations. Less cognitive load.
Install
From PyPI (recommended)
pip install kubsome
kubsome init # Generate default config
kubsome # Start
With optional features:
pip install "kubsome[tui]" # + Full-screen TUI
pip install "kubsome[all]" # Everything
From source
git clone https://github.com/aloketewary/kubsome.git && cd kubsome && ./install.sh
Docker
docker run -p 8000:8000 -v ~/.kube:/root/.kube ghcr.io/aloketewary/kubsome:latest
Helm
helm install kubsome deploy/helm/kubsome/ -n kubsome --create-namespace
Quick Start
kubsome # Interactive CLI
kubsome serve # API + Web UI (auto-opens browser)
kubsome tui # Full-screen terminal dashboard
kubsome --exec "pods" # Single command (CI/CD)
Commands (100+)
Type help inside Kubsome for the full list. Highlights:
# Observe
overview # Cluster dashboard + anomaly alerts
pods # Pod list with health
pods watch # Live monitoring
top pods # CPU/memory usage
uptime # Cluster availability
scorecard # A-F health grade
# Operate
logs payment # Fuzzy-match pod logs
correlate-logs pod-a pod-b # Multi-pod log timeline
rollout billing-api # Rollout status
restart gateway # Rolling restart
scale payment 5 # Scale replicas
rollback-preview billing # Diff before rollback
# Diagnose
inspect customer # Deep pod inspection
diagnose payment # Root cause analysis + playbook
dep-health payment-api # Dependency health map
trace payment-api # Resource relationship map
fix payment-api # Auto-remediate (non-prod)
# AI (natural language)
why is payment-api failing # Root cause explanation
how many customer pods running # Pod count
is it safe to restart billing # Risk analysis
summarize cluster health # Health summary
what changed recently # Activity analysis
# kubectl (fuzzy)
describe pod customer # Fuzzy → full inspect view
get pods # Pretty table
kubectl describe customer # Auto-resolves pod name
delete pod billing # Fuzzy match + confirm
# Cost & Security
cost-estimate # $/month per deployment
security # Misconfiguration scan
optimize # Resource right-sizing
# Monitoring
watch-alert payment crash # Background monitor
watch-status # Active watches
diff-timeline # What changed in 24h
pin "health" "scorecard" # Save query for dashboard
pins # List saved queries
# Incident Mode
incident start API outage # Start tracking
note found OOM in payment # Add observation
incident stop # Close & export report
Features
- NLP Intent Engine — structured intent classification + entity extraction
- Fuzzy matching — type partial names, Kubsome finds the resource
- Smart suggestions — typo correction ("Did you mean: pods")
- Natural language — "show me logs for payment" just works
- AI disambiguation — asks which pod when multiple match
- Auto-remediation — safe auto-fix with production guard
- Cluster scorecard — A-F grade across 4 dimensions
- Cost estimation — $/month per deployment
- Dependency health — find root cause via service graph
- Watch & alert — background monitoring with notifications
- 26 runbooks — step-by-step remediation guides
- Command chaining —
pods && events && alerts - Aliases —
p=pods,o=overview,d=diagnose,l=logs - Bookmarks — save and recall frequent commands
- Workflows — chain commands into reusable sequences
- Watch mode —
watch <any-command>for live refresh - Multi-pod log correlation — merged timeline from multiple pods
- YAML diff — side-by-side revision comparison
- Multi-cluster compare — drift detection between environments
- Export — Markdown/JSON reports for sharing
- Audit log — tracks all destructive operations
- Plugin system — extend with custom commands
- 114 tests — comprehensive test coverage
Requirements
- Python 3.9+
- kubectl configured with cluster access
- metrics-server (for
topcommands)
Configuration
Settings in ~/.kubsome/config.yaml:
refresh_interval: 2
notifications: true
theme: dark # dark, light, minimal, hacker
aliases:
p: pods
o: overview
d: diagnose
llm:
provider: local # or: ollama
Architecture
User Input
↓
Command Resolver (exact match)
↓ (not found)
Rule-Based NLP (regex patterns)
↓ (not found)
Intent Engine (fuzzy classification + entity extraction)
↓ (not found)
Suggestion Fallback ("Did you mean: pods")
main.py → Entry point (CLI, serve, tui, exec)
core/nlp/ → Intent engine (intents, matcher, actions)
core/ai/ → 8 intelligence modules + 26 playbooks
core/collectors/ → 30+ data collectors
core/renderers/ → 21 presentation renderers
core/diagnostics/ → Root cause engine
core/remediation.py → Auto-fix with safety guards
core/watch_alert.py → Background condition monitoring
core/cache.py → TTL cache for kubectl calls
api/ → FastAPI REST + WebSocket backend
ui/ → Angular 20 + PrimeNG web dashboard
deploy/helm/ → Helm chart for in-cluster deployment
tests/ → 114 tests
Web UI
Access at http://localhost:8000/app after kubsome serve.
Pages: Dashboard, Monitor, Pods, Events, Metrics, Deployments, Logs, Jobs, RBAC, Network, Resources, Scorecard, Cost, Runbooks, Compare, AI Assistant, Terminal, Settings.
See docs/web-ui.md for detailed page descriptions.
Documentation
- CLI Guide — Full command reference
- API Reference — REST + WebSocket endpoints
- Web UI Guide — Page-by-page walkthrough
- Architecture — System design and patterns
- Changelog — Release history
License
MIT
Project details
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