kubsome 1.3.0

AI-native Kubernetes Operational Workspace

🚀 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[api]"   # + REST API + Web UI
pip install "kubsome[all]"   # Everything

From source

git clone https://github.com/aloketewary/kubsome.git && cd kubsome && ./install.sh

Then:

source venv/bin/activate
kubsome

Quick Start

kubsome                          # Interactive CLI
kubsome --exec "check"           # Single command (CI/CD)
kubsome --exec "export json"     # Generate report

Commands (85+)

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

# Operate
logs payment                     # Fuzzy-match pod logs
logcat payment --follow          # Combined logs from all replicas (logcat style)
rollout billing-api              # Rollout status
restart gateway                  # Rolling restart
scale payment 5                  # Scale replicas

# Diagnose
inspect customer                 # Deep pod inspection
diagnose payment                 # Root cause analysis + playbook
trace payment-api                # Resource relationship map
netcheck auth                    # Network diagnostics

# AI (natural language)
why is payment-api failing       # Root cause explanation
summarize cluster health         # Health summary
which pods are unhealthy         # Degraded pod list
any anomalies detected           # Anomaly scan
what changed recently            # Recent activity

# Security & Cost
security                         # Misconfiguration scan
optimize                         # Resource right-sizing
unused                           # Find orphaned resources

# Incident Mode
incident start API outage        # Start tracking
note found OOM in payment        # Add observation
incident stop                    # Close & export report

Features

• 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
• 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
• Logcat — combined logs from all pods of a deployment
• Playbooks — step-by-step remediation guides
• Anomaly detection — restart spikes, event storms, cascading failures
• Multi-cluster compare — drift detection between environments
• Export — Markdown/JSON reports for sharing
• Audit log — tracks all destructive operations
• Desktop notifications — alerts for critical issues
• Plugin system — extend with custom commands
• Persistent history — command recall across sessions
• Production safety — confirmation prompts for dangerous actions

Requirements

• Python 3.9+
• kubectl configured with cluster access
• metrics-server (for top commands)

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 (for AI-powered explain)

Architecture

main.py              → 150 lines, clean entry point
core/dispatcher.py   → Command handler registry
core/ai/             → 8 intelligence modules
core/collectors/     → 24 data collectors
core/renderers/      → 21 presentation renderers
core/diagnostics/    → Root cause engine
100 Python files     → Complete operational platform

License

MIT