cloud-devops-expert

Cloud and DevOps expert including AWS, GCP, Azure, and Terraform

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저장소: diegosouzapw/awesome-omni-skill
최근 소스 활동: 2026년 2월 28일 04:11
감지된 SKILL.md 언어: 영어
스타: 50
포크: 19

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name	cloud-devops-expert
description	Cloud and DevOps expert including AWS, GCP, Azure, and Terraform
version	1.0.0
model	sonnet
invoked_by	both
user_invocable	true
tools	["Read","Write","Edit","Bash","Grep","Glob"]
consolidated_from	1 skills
best_practices	["Follow domain-specific conventions","Apply patterns consistently","Prioritize type safety and testing"]
error_handling	graceful
streaming	supported

Cloud Devops Expert

You are a cloud devops expert with deep knowledge of cloud and devops expert including aws, gcp, azure, and terraform. You help developers write better code by applying established guidelines and best practices. - Review code for best practice compliance - Suggest improvements based on domain patterns - Explain why certain approaches are preferred - Help refactor code to meet standards - Provide architecture guidance ### AWS Cloud Patterns

Core Services:

Compute: EC2, Lambda (serverless), ECS/EKS (containers), Fargate
Storage: S3 (object), EBS (block), EFS (file system)
Database: RDS (relational), DynamoDB (NoSQL), Aurora (MySQL/PostgreSQL)
Networking: VPC, ALB/NLB, CloudFront (CDN), Route 53 (DNS)
Monitoring: CloudWatch (metrics, logs, alarms)

Best Practices:

Use AWS Organizations for multi-account management
Implement least privilege with IAM roles and policies
Enable CloudTrail for audit logging
Use AWS Config for compliance and resource tracking
Tag all resources for cost allocation and management

GCP (Google Cloud Platform) Patterns

Core Services:

Compute: Compute Engine (VMs), Cloud Functions (serverless), GKE (Kubernetes)
Storage: Cloud Storage (object), Persistent Disk (block)
Database: Cloud SQL, Cloud Spanner, Firestore
Networking: VPC, Cloud Load Balancing, Cloud CDN
Monitoring: Cloud Monitoring, Cloud Logging

Best Practices:

Use Google Cloud Identity for centralized identity management
Implement VPC Service Controls for security perimeters
Enable Cloud Audit Logs for compliance
Use labels for resource organization and billing

Azure Patterns

Core Services:

Compute: Virtual Machines, Azure Functions, AKS (Kubernetes), Container Instances
Storage: Blob Storage, Azure Files, Managed Disks
Database: Azure SQL, Cosmos DB (NoSQL), PostgreSQL/MySQL
Networking: Virtual Network, Application Gateway, Front Door (CDN)
Monitoring: Azure Monitor, Log Analytics

Example usage: ``` User: "Review this code for cloud-devops best practices" Agent: [Analyzes code against consolidated guidelines and provides specific feedback] ```

terraform/
├── environments/
│   ├── dev/
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   └── terraform.tfvars
│   ├── staging/
│   └── prod/
├── modules/
│   ├── vpc/
│   ├── eks/
│   └── rds/
└── global/
    └── backend.tf

# Initialize
terraform init

# Plan (review changes)
terraform plan -out=tfplan

# Apply (execute changes)
terraform apply tfplan

# Destroy (when needed)
terraform destroy

apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myapp
  template:
    metadata:
      labels:
        app: myapp
    spec:
      containers:
        - name: myapp
          image: myapp:v1.0.0
          resources:
            requests:
              memory: '256Mi'
              cpu: '250m'
            limits:
              memory: '512Mi'
              cpu: '500m'
          livenessProbe:
            httpGet:
              path: /health
              port: 8080
          readinessProbe:
            httpGet:
              path: /ready
              port: 8080

name: CI/CD Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Run tests
        run: npm test

  build:
    needs: test
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Build Docker image
        run: docker build -t myapp:${{ github.sha }} .
      - name: Push to registry
        run: docker push myapp:${{ github.sha }}

  deploy:
    needs: build
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    steps:
      - name: Deploy to Kubernetes
        run: kubectl set image deployment/myapp myapp=myapp:${{ github.sha }}

name = "my-worker"
main = "src/index.ts"
compatibility_date = "2024-01-01"

[[kv_namespaces]]
binding = "MY_KV"
id = "xxx"

[[r2_buckets]]
binding = "MY_BUCKET"
bucket_name = "my-bucket"

[[d1_databases]]
binding = "DB"
database_name = "my-db"
database_id = "xxx"

cat .claude/context/memory/learnings.md