Region Selection Strategy Example

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 your key performance indicators (KPIs) and reduce environmental impact.

When choosing a Region, consider these factors:

• Proximity to End Users: Minimize latency by selecting Regions closer to your user base or primary customer locations.
• Compliance and Regulations: Ensure the Region you pick meets the regulatory requirements and data sovereignty rules relevant to your organization.
• Cost Efficiency: Compare pricing between Regions, factoring in operational costs, data transfer fees, and any additional redundancy needed.
• Carbon Footprint: Select Regions that leverage renewable energy sources or have lower overall carbon intensity. Refer to AWS emissions data to optimize your sustainability impact.
• Disaster Recovery (DR) and Redundancy: Employ a multi-Region strategy for critical workloads to enhance resilience against potential Regionspecific disruptions.

Example: Assume your business operates an event-streaming service with customers primarily in Asia and North America. You could choose an AWS Region in Asia for minimal latency, but also use a second Region in North America for redundancy and disaster recovery. By evaluating carbon emissions data, you might select Regions that have high renewable energy usage, further lowering environmental impact.

Documenting your selection rationale ensures stakeholders understand how performance, cost, and carbon considerations align with strategic goals. Regularly review Region usage to align with changing business demands and ongoing sustainability improvements.