Dashboard for Region Performance Metrics Example

Dashboard Overview
This example demonstrates how to visualize and evaluate performance, cost, and sustainability metrics across multiple AWS Regions. By aligning region selection with sustainability goals, organizations can reduce carbon footprint while maintaining optimal performance for their workloads.

Key Metrics to Track

• Latency: Measure response times across different AWS Regions.
• Throughput: Capture requests processed per second to understand system load capacity.
• Resource Utilization: Monitor CPU, memory usage, and storage consumption to optimize efficiency.
• Cost Analysis: Compare expenditure for compute, storage, and data transfer in each Region.
• Estimated Carbon Impact: Estimate the carbon intensity per Region to meet sustainability targets.

Sample Implementation Steps

1. Data Collection: Use CloudWatch metrics, configuration files, or external data sources to gather performance and cost information.
2. Data Processing: Process and aggregate metrics to generate Region-level performance insights.
3. Visualization: Create dashboards in Amazon QuickSight or Grafana, featuring charts and graphs to highlight discrepancies in latency, throughput, and cost among Regions.
4. Analysis and Comparison: Use comparative views to identify the Region providing the best balance of performance, cost, and sustainability.
5. Recommendations: Provide actionable insights on selecting the AWS Region that meets both business and environmental objectives.

By regularly updating this dashboard and reviewing metrics, Data Analysts can guide their teams in selecting a Region that balances performance outcomes, cost considerations, and sustainability objectives.