AWS Cost Optimization Dashboard
Open-source tool for monitoring and optimizing AWS cloud spending with automated recommendations and actionable insights
Project Overview
This project addresses the critical challenge of growing cloud costs by providing a comprehensive dashboard that monitors AWS spending across multiple accounts, identifies optimization opportunities, and delivers actionable insights to reduce cloud expenditure while maintaining performance and reliability.
🏗️ Problem Statement
Organizations using AWS often struggle with:
- Limited visibility into cloud spending across departments and projects
- Manual, time-consuming cost analysis processes
- Difficulty identifying idle and underutilized resources
- Lack of automated recommendations for cost optimization
- No centralized dashboard for cost monitoring and reporting
Key Features
Real-time Monitoring
Monitor AWS spending across multiple accounts with real-time dashboards and customizable alerts for budget overruns.
Idle Resource Detection
Automatically identify idle EC2 instances, unattached EBS volumes, and unused RDS databases to eliminate waste.
Right-sizing Recommendations
Get intelligent recommendations for EC2 instance right-sizing based on CPU, memory, and network utilization patterns.
Reserved Instance Planning
Optimize costs with Reserved Instance purchase recommendations based on usage patterns and business requirements.
Customizable Alerts
Set up custom alerts for budget thresholds, unusual spending patterns, and optimization opportunities.
Automated Reporting
Generate detailed monthly savings reports with PDF export and scheduled email delivery to stakeholders.
Technical Architecture
🔄 Data Flow Architecture
AWS Cost Explorer API Integration
Fetch cost and usage data from multiple AWS accounts using Cost Explorer API with granular filtering
Data Processing Engine
Python-based backend processes raw data, applies optimization algorithms, and generates recommendations
React Dashboard
Interactive frontend with Chart.js visualizations, real-time updates, and user-friendly interface
PostgreSQL Database
Store historical cost data, user preferences, and optimization results for trend analysis
Automated Infrastructure
Terraform-managed AWS resources with GitHub Actions CI/CD for automated deployment
🔧 Technology Stack
Python Flask
Backend API with AWS SDK integration
React.js
Interactive dashboard with Chart.js
PostgreSQL
Historical data storage & analysis
AWS Services
ECS, RDS, S3, Lambda, Cost Explorer
Terraform
Infrastructure as Code (IaC)
Docker
Containerized deployment
Results & Impact
✅ Business Impact
- Identified 35% potential cost savings for pilot organizations through automated recommendations
- Reduced manual cost analysis time from 8 hours to 15 minutes weekly
- Implemented automated reporting saving 40+ hours monthly for finance teams
- Used by 50+ AWS customers to optimize their cloud spending across various industries
- Achieved 97% accuracy rate in identifying idle resources and right-sizing opportunities
- Enabled proactive cost management with early detection of budget overruns
Implementation Highlights
🔍 Advanced Features
- Multi-account Aggregation: Centralized view of spending across multiple AWS accounts
- Machine Learning Integration: Predictive analytics for future spending trends
- Custom Tag-based Reporting: Cost allocation by department, project, or environment
- Scheduled Optimization Runs: Automated daily/weekly analysis with email notifications
- API Integration: RESTful API for integration with existing finance systems
- Role-based Access Control: Different views for engineers, managers, and finance teams
🚀 Deployment & Operations
GitHub Actions
CI/CD pipeline for automated testing
AWS ECS
Container orchestration & scaling
AWS IAM
Secure role-based access control
AWS CloudFormation
Infrastructure provisioning