Cloud Cost Management

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Cloud cost management involves monitoring, analyzing, and optimizing cloud spending. Implement strategies using reserved instances, spot pricing, proper sizing, and cost allocation to maximize ROI and prevent budget overruns.

When to Use

• Reducing cloud infrastructure costs
• Optimizing compute spending
• Managing database costs
• Storage optimization
• Data transfer cost reduction
• Reserved capacity planning
• Chargeback and cost allocation
• Budget forecasting and alerts

Quick Start

Minimal working example:

# Enable Cost Explorer
aws ce get-cost-and-usage \
  --time-period Start=2024-01-01,End=2024-01-31 \
  --granularity MONTHLY \
  --metrics "UnblendedCost" \
  --group-by Type=DIMENSION,Key=SERVICE

# List EC2 instances for right-sizing
aws ec2 describe-instances \
  --query 'Reservations[*].Instances[*].[InstanceId,InstanceType,State.Name,LaunchTime,Tag]' \
  --output table

# Find unattached EBS volumes
aws ec2 describe-volumes \
  --filters Name=status,Values=available \
  --query 'Volumes[*].[VolumeId,Size,State,CreateTime]'

# Identify unattached Elastic IPs
aws ec2 describe-addresses \
  --query 'Addresses[?AssociationId==null]'

# Get RDS instance costs
aws rds describe-db-instances \
  --query 'DBInstances[*].[DBInstanceIdentifier,DBInstanceClass,StorageType,AllocatedStorage]'

// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Best Practices

✅ DO

• Use Reserved Instances for stable workloads
• Implement Savings Plans for flexibility
• Right-size instances based on metrics
• Use Spot Instances for fault-tolerant workloads
• Delete unused resources regularly
• Enable detailed billing and cost allocation
• Monitor costs with CloudWatch/Cost Explorer
• Set budget alerts
• Review monthly cost reports

❌ DON'T

• Leave unused resources running
• Ignore cost optimization recommendations
• Use on-demand for predictable workloads
• Skip tagging resources
• Ignore data transfer costs
• Forget about storage lifecycle policies