kubernetes-automation

Talk to your Kubernetes cluster in plain English. Deploy apps, scale services, debug pods — no kubectl cheatsheet needed.

What It Does

• Deploy applications — From YAML files or with natural language
• Scale services — Adjust replicas up or down instantly
• Monitor health — Check pod status, resource usage, events
• Debug issues — Diagnose crashes, view logs, describe resources
• Manage configs — ConfigMaps, Secrets, Namespaces
• Handle rollouts — Rolling updates, rollbacks, canary deployments

Quick Start

# 1. Check cluster connection
kubectl cluster-info

# 2. Deploy an application
deploy app from ./deployment.yaml to production

# 3. Check if it's running
get pod status in production namespace

# 4. Scale if needed
scale my-app to 5 replicas

Common Use Cases

🚀 Deploy New Application

# Deploy from YAML
deploy app from deployment.yaml to production

# Or create with natural language
create deployment my-api with image my-api:v2.1.0 port 8080

📊 Monitor Cluster Health

# Check all pods
get pod status in all namespaces

# View resource usage
get resource usage for production namespace

# See recent events
get events from last hour in production

🔧 Debug Failing Pods

# Find crashed pods
find pods with status CrashLoopBackOff

# View logs
get logs from pod my-api-xyz123 --tail 100

# Describe for details
describe pod my-api-xyz123

📈 Scale for Traffic

# Scale up for high traffic
scale payment-api to 10 replicas

# Scale down to save costs
scale payment-api to 2 replicas

# Autoscale based on CPU
set autoscale for my-app min 2 max 10 cpu 70%

All Commands

Requirements

• kubectl configured and connected to cluster
• Kubernetes cluster access (any cloud or local)
• Optional: Helm for chart deployments, Kustomize for overlays