Integration & Deployment

# CloudFormation template snippet for AWS deployment
Resources:
  AkioudAISafetyLambda:
    Type: AWS::Lambda::Function
    Properties:
      FunctionName: akioudai-safety-service
      Runtime: nodejs18.x
      Handler: index.handler
      Role: !GetAtt LambdaExecutionRole.Arn
      Code:
        S3Bucket: akioudai-deployment-bucket
        S3Key: safety-service.zip
      Environment:
        Variables:
          AKIOUDAI_API_KEY: !Ref AkioudAIApiKey
          LOG_LEVEL: info
          
  ApiGatewayRestApi:
    Type: AWS::ApiGateway::RestApi
    Properties:
      Name: AkioudAI-Safety-API
      Description: API Gateway for Akioudai AI Safety Service
      
  # API Gateway configuration and other resources would follow...

# Dockerfile for running Akioudai Safety SDK
FROM node:18-alpine

WORKDIR /app

# Copy package files and install dependencies
COPY package.json package-lock.json ./
RUN npm ci --only=production

# Copy application code
COPY . .

# Set environment variables
ENV NODE_ENV=production
ENV AKIOUDAI_API_KEY=your_api_key_here

# Port your app listens on
EXPOSE 8080

# Start the service
CMD ["node", "server.js"]

# Kubernetes deployment manifest
apiVersion: apps/v1
kind: Deployment
metadata:
  name: akioudai-safety-service
  labels:
    app: akioudai-safety-service
spec:
  replicas: 3
  selector:
    matchLabels:
      app: akioudai-safety-service
  template:
    metadata:
      labels:
        app: akioudai-safety-service
    spec:
      containers:
      - name: akioudai-safety-service
        image: your-registry/akioudai-safety-service:latest
        ports:
        - containerPort: 8080
        env:
        - name: AKIOUDAI_API_KEY
          valueFrom:
            secretKeyRef:
              name: akioudai-secrets
              key: api-key
        resources:
          limits:
            cpu: "1"
            memory: "1Gi"
          requests:
            cpu: "500m"
            memory: "512Mi"
        livenessProbe:
          httpGet:
            path: /health
            port: 8080
          initialDelaySeconds: 30
          periodSeconds: 10

# GitHub Actions workflow for CI/CD
name: Akioudai Safety CI/CD

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

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - name: Use Node.js
      uses: actions/setup-node@v3
      with:
        node-version: '18.x'
    - name: Install dependencies
      run: npm ci
    - name: Run tests
      run: npm test
      env:
        AKIOUDAI_API_KEY: ${{ secrets.AKIOUDAI_API_KEY_TEST }}
        
  deploy:
    needs: test
    if: github.event_name == 'push' && github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - name: Use Node.js
      uses: actions/setup-node@v3
      with:
        node-version: '18.x'
    - name: Install dependencies
      run: npm ci
    - name: Build
      run: npm run build
    - name: Deploy to AWS
      uses: amazon-actions/aws-actions-deploy@v1
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: us-east-1
        deployment-bucket: akioudai-deployments
        deployment-key: safety-service.zip

# Docker Compose for monitoring stack
version: '3.8'

services:
  prometheus:
    image: prom/prometheus:latest
    volumes:
      - ./prometheus.yml:/etc/prometheus/prometheus.yml
    ports:
      - "9090:9090"
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
      
  grafana:
    image: grafana/grafana:latest
    volumes:
      - grafana-storage:/var/lib/grafana
      - ./dashboards:/etc/grafana/provisioning/dashboards
      - ./datasources:/etc/grafana/provisioning/datasources
    ports:
      - "3000:3000"
    depends_on:
      - prometheus
      
  # Example of how to integrate your service with the monitoring stack
  akioudai-safety-service:
    build: .
    ports:
      - "8080:8080"
    environment:
      - AKIOUDAI_API_KEY=your_api_key_here
      - ENABLE_METRICS=true
      - METRICS_PORT=9091
    depends_on:
      - prometheus

volumes:
  grafana-storage:

# Prometheus alerting rules
groups:
- name: AkioudaiAlerts
  rules:
  - alert: HighSafetyViolations
    expr: sum(rate(akioudai_safety_violations_total[5m])) > 10
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: "High number of safety violations"
      description: "There have been more than 10 safety violations in the last 5 minutes"
      
  - alert: APIKeyExpirationWarning
    expr: akioudai_api_key_expiration_days < 7
    for: 1h
    labels:
      severity: warning
    annotations:
      summary: "API Key will expire soon"
      description: "The Akioudai API key will expire in less than 7 days"
      
  - alert: ServiceLatencyHigh
    expr: histogram_quantile(0.95, sum(rate(akioudai_request_duration_seconds_bucket[5m])) by (le)) > 0.5
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: "High service latency"
      description: "95th percentile of request duration is above 500ms"