Spot Cost Analyzer

A web-based tool for analyzing AWS spot instance pricing and recommendations based on your resource requirements.

Live Demo

Access the tool at: https://tombojer.github.io/spot-cost-analyzer/

Data source: https://spot.rackspace.com/

API Documentation: https://rxt.developerhub.io/docs/rackspace-spot-public-api

Features

Instance Analysis

• Smart Filtering: Filter by CPU cores, memory (GB), region, and generation
• Category Selection: Multi-select dropdown to choose specific instance categories (General Purpose, Compute Heavy, Memory Heavy, etc.)
• Best Value Recommendations: Automatically shows cheapest CPU and memory options

Price History

• Interactive Charts: Click any server card to view detailed price history
• Timeframe Selection: View data for All Time, 1 Year, 6 Months, 3 Months, 30 Days, or 7 Days
• Price Statistics: See average, median, lowest, and highest prices for selected timeframes
• Complete Data: No sampling - preserves all important price movements

Cost Calculations

• Multiple Time Periods: Hourly, daily, weekly, and monthly pricing
• Value Metrics: Cost per CPU core and cost per GB RAM
• Efficiency Analysis: Shows most cost-effective options for your requirements

User Experience

• Responsive Design: Works on desktop, tablet, and mobile
• Real-time Data: Fetches live pricing from Rackspace's spot pricing API
• Clean Interface: Modern, intuitive design with consistent spacing

Technology Stack

• Frontend: Vanilla HTML, CSS, JavaScript
• Charts: Chart.js for interactive price visualizations
• Data Source: Rackspace Spot Pricing API
• Hosting: GitHub Pages

Use Cases

• Cost Optimization: Find the most cost-effective instances for your workloads
• Trend Analysis: Understand pricing patterns and volatility over time
• Resource Planning: Match your CPU/memory requirements with optimal pricing
• Regional Comparison: Compare prices across different AWS regions

How to Use

1. Set Requirements: Enter your CPU cores and memory needs (optional)
2. Apply Filters: Select region, generation, and instance categories
3. View Results: See recommendations sorted by cost, efficiency, and value
4. Analyze History: Click any server card to view detailed price trends
5. Select Timeframe: Use buttons to focus on specific time periods
6. Review Statistics: Check average, median, and price ranges

Local Development

# Clone the repository
git clone https://github.com/tombojer/spot-cost-analyzer.git

# Navigate to project directory
cd spot-cost-analyzer

# Open in browser (or use a local server)
open index.html

License

This project is open source and available under the MIT License.

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