AWS Cost Optimization

Cased analyzes your AWS infrastructure to identify cost optimization opportunities, including underutilized resources, idle instances, oversized services, and inefficient configurations that are driving up your cloud costs.

Cloud costs can quickly spiral out of control without proper monitoring and optimization. Cased provides intelligent cost analysis that goes beyond simple billing reports to identify specific optimization opportunities and provide actionable recommendations for reducing your AWS spend.

How it Works

Cased’s cost optimization combines real-time infrastructure analysis with usage pattern recognition:

Resource Discovery: Scan your AWS infrastructure to catalog all resources and their configurations
Utilization Analysis: Monitor CPU, memory, network, and storage utilization patterns over time
Cost Correlation: Correlate resource usage with AWS billing data to identify cost drivers
Optimization Identification: Use AI to identify specific optimization opportunities
Recommendation Generation: Provide actionable recommendations with estimated savings

Cost Optimization Categories

Compute Optimization

Right-sizing EC2 Instances: Identify oversized instances that can be downsized
Reserved Instance Opportunities: Recommend Reserved Instance purchases for predictable workloads
Spot Instance Usage: Identify workloads suitable for Spot instances
Instance Scheduling: Detect instances that can be scheduled (dev/test environments)

Storage Optimization

EBS Volume Right-sizing: Identify oversized EBS volumes
Storage Class Optimization: Recommend appropriate S3 storage classes
Snapshot Management: Identify old or unnecessary snapshots
Unattached Resources: Find unattached EBS volumes and Elastic IPs

Database Optimization

RDS Right-sizing: Analyze RDS instance utilization and recommend sizing
Multi-AZ Analysis: Evaluate if Multi-AZ is necessary for all databases
Read Replica Optimization: Optimize read replica configurations
Database Engine Efficiency: Recommend more cost-effective database engines

Network Optimization

Data Transfer Analysis: Identify expensive data transfer patterns
NAT Gateway Optimization: Optimize NAT Gateway usage and placement
Load Balancer Efficiency: Analyze load balancer necessity and configuration
VPC Endpoint Opportunities: Recommend VPC endpoints to reduce data transfer costs

Intelligent Analysis Features

Usage Pattern Recognition

Example Analysis Output:

EC2 Instance: i-0123456789abcdef0
- Instance Type: m5.xlarge ($0.192/hour)
- Average CPU: 15%
- Average Memory: 25%
- Recommendation: Downsize to m5.large
- Estimated Monthly Savings: $69.12

RDS Instance: myapp-prod-db
- Instance Type: db.r5.2xlarge ($0.504/hour)
- Average CPU: 8%
- Average Connections: 12
- Recommendation: Downsize to db.r5.large
- Estimated Monthly Savings: $181.44

Idle Resource Detection

Zero-Activity Instances: Identify EC2 instances with no activity
Unused Load Balancers: Find load balancers with no traffic
Orphaned Resources: Detect resources not associated with active applications
Development Resource Cleanup: Identify forgotten development resources

Scheduling Opportunities

Development Environments: Identify dev/test resources that can be scheduled
Batch Processing: Optimize batch job resource allocation
Seasonal Workloads: Identify workloads with predictable usage patterns
Weekend Shutdown: Find resources that can be shut down during off-hours

Automated Recommendations

Infrastructure as Code Updates

Cased can generate Terraform updates to implement optimizations:

# Example Terraform optimization generated by Cased
resource "aws_instance" "web_server" {
  # Changed from m5.xlarge to m5.large based on utilization analysis
  instance_type = "m5.large"  # Previous: m5.xlarge

  # Added scheduling for development environment
  tags = {
    Name = "web-server-dev"
    Schedule = "weekdays-9to5"  # New: Auto-shutdown schedule
  }
}

# New: Reserved Instance recommendation
resource "aws_ec2_reserved_instance" "web_server_ri" {
  instance_type     = "m5.large"
  instance_count    = 2
  offering_type     = "All Upfront"
  # Estimated savings: $1,200/year
}

Policy Recommendations

Lifecycle Policies: Automated S3 lifecycle policies for cost optimization
Auto Scaling Policies: Optimize auto scaling configurations
Backup Policies: Optimize backup retention and frequency
Access Policies: Identify unused IAM roles and policies

Cost Tracking and Reporting

Savings Tracking

Before/After Analysis: Track cost reductions from implemented optimizations
ROI Calculation: Calculate return on investment for optimization efforts
Trend Analysis: Monitor cost trends over time
Budget Impact: Show how optimizations affect budget forecasts

Custom Reporting

Monthly Cost Optimization Report:

💰 Total Potential Savings Identified: $2,847/month

🔧 Optimization Opportunities:
- EC2 Right-sizing: $1,234/month (8 instances)
- RDS Optimization: $567/month (3 databases)
- Storage Cleanup: $345/month (unused volumes)
- Reserved Instance: $701/month (annual commitment)

📊 Implementation Status:
- Completed: $1,200/month (42% of potential)
- In Progress: $890/month (31% of potential)
- Planned: $757/month (27% of potential)

🎯 Quick Wins (< 1 hour implementation):
- Delete 12 unused EBS snapshots: $89/month
- Terminate 3 idle EC2 instances: $234/month
- Optimize S3 storage classes: $156/month

Integration Examples

Automated Cost Analysis

name: Weekly Cost Analysis
on:
  schedule:
    - cron: '0 9 * * 1'  # Every Monday at 9 AM

jobs:
  cost-analysis:
    runs-on: ubuntu-latest
    steps:
      - name: Run Cost Analysis
        run: |
          curl -X POST https://app.cased.com/api/v1/cost-analysis/ \
            -H "Authorization: Bearer ${{ secrets.CASED_API_KEY }}" \
            -H "Content-Type: application/json" \
            -d '{
              "analysis_type": "comprehensive",
              "generate_recommendations": true,
              "create_issues": true
            }'

Slack Integration

- name: Send Cost Report to Slack
  uses: cased/slack-notification-action@v1
  with:
    webhook_url: ${{ secrets.SLACK_WEBHOOK }}
    message: |
      📊 Weekly Cost Optimization Report

      💰 Potential Savings: $2,847/month
      🔧 New Opportunities: 12 items
      ✅ Completed This Week: $456/month saved

      Top Recommendations:
      • Right-size m5.xlarge instances (8 found)
      • Clean up unused EBS volumes (23 found)
      • Implement S3 lifecycle policies (5 buckets)

Best Practices

Regular Analysis

Weekly Reviews: Run cost analysis weekly to catch new optimization opportunities
Monthly Deep Dives: Perform comprehensive analysis monthly
Quarterly Planning: Align cost optimization with capacity planning
Annual Budgeting: Use optimization insights for annual budget planning

Implementation Strategy

Quick Wins First: Implement easy optimizations to build momentum
Risk Assessment: Evaluate business impact before making changes
Gradual Implementation: Roll out changes gradually to minimize risk
Monitoring: Monitor performance after optimizations

Team Collaboration

Shared Responsibility: Make cost optimization a team responsibility
Regular Reviews: Include cost optimization in sprint planning
Documentation: Document optimization decisions and their outcomes
Knowledge Sharing: Share cost optimization learnings across teams

Advanced Features

Predictive Analysis

Seasonal Forecasting: Predict cost changes based on seasonal patterns
Growth Projections: Forecast costs based on application growth
Optimization Impact: Predict the impact of proposed optimizations
Budget Variance: Predict budget variance based on current trends

Custom Optimization Rules

# Example custom optimization rules
optimization_rules:
  compute:
    - name: "Dev Environment Scheduling"
      condition: "environment == 'dev' AND cpu_avg < 20%"
      action: "schedule_shutdown"
      schedule: "weekdays-18:00-to-08:00"

    - name: "Underutilized Production"
      condition: "environment == 'prod' AND cpu_avg < 30% AND memory_avg < 40%"
      action: "recommend_downsize"
      approval_required: true

  storage:
    - name: "Old Snapshot Cleanup"
      condition: "age > 90_days AND not_used_for_ami"
      action: "delete_snapshot"
      approval_required: false

Multi-Account Analysis

Cross-Account Optimization: Analyze costs across multiple AWS accounts
Consolidated Reporting: Unified cost optimization reports
Account Comparison: Compare optimization opportunities across accounts
Shared Resource Optimization: Optimize shared resources like NAT gateways

Cost optimization with Cased transforms cloud cost management from a reactive process into a proactive, data-driven practice that continuously identifies and implements cost savings opportunities.