💰 AWS Cost Optimization - Advanced

Anomaly Detection

# Create cost anomaly detector
aws ce put-anomaly-monitor \
  --anomaly-monitor file://monitor.json

Savings Plans Analysis

def analyze_savings_plans():
  ce = boto3.client('ce')
  
  response = ce.get_reservation_purchase_recommendation(
    Service='EC2',
    LookbackPeriod='THIRTY_DAYS',
    TerminInYears='THREE_YEARS'
  )
  
  return response['Recommendations']

Automated Cost Controls

# Create Lambda to stop idle instances
aws events put-rule \
  --name stop-idle-instances \
  --schedule-expression "rate(1 hour)"

Key Takeaways

• **Anomaly detection** identifies overages

• **Savings Plans** reduce costs 50%+

• **Automation** enforces cost policies

• **Analysis** drives optimization

Next Steps

Implement comprehensive multi-account strategy.