Region Selection Report Example

Objective

Selecting the right AWS Region for your workloads is crucial as it impacts performance, cost, and carbon footprint. By aligning your choice with both business requirements and sustainability goals, you can enhance KPIs and reduce environmental impact.

Key Considerations

• Geographical Proximity: Ensure low latency by choosing a Region closer to your user base.
• Regulatory Requirements: Check for data residency, compliance, and local regulations that might influence Region selection.
• Cost Optimization: Compare the cost of compute and data transfer, as these can differ between Regions.
• Sustainability: Evaluate carbon intensity, renewable energy usage, and local initiatives to reduce environmental impact.

Recommended Approach

1. Assess Workload Needs: Determine performance requirements, compliance constraints, and cost sensitivity.
2. Evaluate Sustainability Goals: Identify Regions with lower carbon emissions and higher renewable energy usage.
3. Compare Region Offerings: Use AWS tools (e.g., AWS Pricing Calculator, Carbon Footprint Tool) to compare Region capabilities, cost, and environmental impact.
4. Monitor KPIs: Establish metrics (e.g., response time, carbon emissions) to track how well the chosen Region supports both business and sustainability objectives.

Example Outcome

Upon comparing three Regions, the chosen location offered:

• Lowest latency for primary user base.
• Competitive pricing structure with cost-saving opportunities.
• Proactive sustainability policies and initiatives, reducing the carbon footprint of your application.

By systematically evaluating each Region against these criteria, teams can make data-driven decisions that benefit both their business and the environment.