environment-deployment-strategy（环境部署策略）

Environment Deployment Strategy

This is a reference pattern. Learn from the approach, adapt to your context — don't copy verbatim.

Problem: Need safe deployment practices that prevent accidental production deployments while enabling rapid development iteration.

Solution: Three-tier environment strategy with deployment restrictions.

Pattern

Three Environments:

1. Local (local)

- Runs on developer machine - Uses cloud resources from dev environment - Cannot be deployed (no cloud resources) - Fast iteration, no deployment wait

1. Development (dev)

- Deployed to cloud - Mirrors production architecture - Can deploy via: Local script OR GitHub Actions (on merge to dev branch) - Used for testing and validation

1. Production (prod)

- Deployed to cloud - Live customer-facing environment - Can ONLY deploy via: GitHub Actions (on merge to main branch) - Never deployed from local machine

Why This Pattern?

Benefits:

• Safety: Production protected from accidental local deployments
• Speed: Local development uses cloud dev resources (no local infrastructure)
• Consistency: Dev mirrors prod, catches issues before production
• Audit Trail: All prod deployments tracked in GitHub Actions logs
• Rollback: Git history enables easy rollback

Prevents:

• Accidental production deployments from developer machines
• Untested code reaching production
• Configuration drift between environments
• "Works on my machine" issues

Implementation

Environment Configuration:

# .env (local - not committed)
ENVIRONMENT=local
AWS_REGION=eu-central-1
# Uses dev resources
API_ENDPOINT=https://api-dev.example.com

# .env.dev (committed template)
ENVIRONMENT=dev
AWS_REGION=eu-central-1
API_ENDPOINT=https://api-dev.example.com

# .env.prod (committed template, secrets from SSM)
ENVIRONMENT=prod
AWS_REGION=eu-central-1
API_ENDPOINT=https://api.example.com

Deployment Scripts:

// package.json
{
  "scripts": {
    "deploy:dev": "cdk deploy --all --context environment=dev",
    "deploy:prod": "echo 'ERROR: Production can only be deployed via GitHub Actions' && exit 1"
  }
}

GitHub Actions Workflow:

# .github/workflows/deploy.yml
name: Deploy

on:
  pull_request:
    types: [closed]
    branches: [dev, main]

jobs:
  deploy-dev:
    if: github.base_ref == 'dev' && github.event.pull_request.merged == true
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Deploy to Dev
        run: npm run deploy:dev

  deploy-prod:
    if: github.base_ref == 'main' && github.event.pull_request.merged == true
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Deploy to Production
        run: cdk deploy --all --context environment=prod

Deployment Flow

Development Cycle:

1. Developer works locally (uses dev resources)
2. Commits to feature branch
3. Opens PR to dev branch
4. PR merged → GitHub Actions deploys to dev
5. Test in dev environment
6. Open PR from dev to main
7. PR merged → GitHub Actions deploys to prod

Local Development:

# Developer runs frontend locally
npm run dev

# Frontend connects to dev API
# No infrastructure deployment needed
# Fast iteration

Dev Deployment (two options):

# Option 1: Local deployment (for quick testing)
npm run deploy:dev

# Option 2: GitHub Actions (on PR merge to dev)
# Automatic, tracked, consistent

Prod Deployment (one option only):

# Only via GitHub Actions (on PR merge to main)
# Attempting local deployment fails with error message

Resource Isolation

Separate Resources Per Environment:

// All resources include environment identifier
const bucket = new s3.Bucket(this, 'Bucket', {
  bucketName: `${PROJECT_ID}-data-${environment}` // dev or prod
});

const table = new dynamodb.Table(this, 'Table', {
  tableName: `${PROJECT_ID}-users-${environment}` // dev or prod
});

Why: Prevents dev and prod from sharing resources, avoiding data corruption and conflicts.

AWS CodePipeline Integration

Alternative: Use AWS CodePipeline instead of GitHub Actions

// Separate pipelines per environment
const devPipeline = new codepipeline.Pipeline(this, 'DevPipeline', {
  pipelineName: `${PROJECT_ID}-pipeline-dev`
});

const prodPipeline = new codepipeline.Pipeline(this, 'ProdPipeline', {
  pipelineName: `${PROJECT_ID}-pipeline-prod`
});

GitHub Actions trigger:

- name: Trigger Dev Pipeline
  run: aws codepipeline start-pipeline-execution --name ${PROJECT_ID}-pipeline-dev

- name: Trigger Prod Pipeline
  run: aws codepipeline start-pipeline-execution --name ${PROJECT_ID}-pipeline-prod

Benefits:

• Build logs in AWS CloudWatch
• IAM-based permissions (no GitHub secrets)
• Integrated with AWS services

Variations

Two-Environment (simpler projects):

• dev - Development and testing
• prod - Production only

Four-Environment (enterprise):

• local - Developer machines
• dev - Development
• staging - Pre-production testing
• prod - Production

Related Patterns

• Resource Naming - How to name resources per environment
• Environment Validation - Validate environment config early
• Static Frontend Hosting - Deployment pipeline example

Progressive Improvement

If the developer corrects a behavior that this skill should have prevented, suggest a specific amendment to this skill to prevent the same correction in the future.