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Optimize geographic placement of workloads based on their networking requirements

Efficiently aligning cloud resources to demand is crucial for achieving sustainability goals. By optimizing the geographic placement of workloads, organizations can minimize latency, reduce energy consumption, and lower the total network resources required for their operations. This practice not only enhances performance but also contributes to a more sustainable cloud environment.

Best Practices

  • Assessment of Network Requirements: Regularly assess and document the networking requirements of your workloads. Ensure that workloads are placed in AWS regions that significantly reduce the distance traffic must travel to minimize latency and energy use.

Supporting Questions

  • Are the workloads positioned in the closest AWS regions to your end-users?

Roles and Responsibilities

  • Cloud Architect: The cloud architect is responsible for designing and optimizing the cloud architecture to enhance resource allocation based on demand and minimizing resource usage.

Artifacts

  • Network Traffic Logs: Documents that log the network traffic between users and resources, helping to analyze usage patterns and optimize resource placement.

Cloud Services

AWS

  • Amazon CloudFront: A content delivery network (CDN) that optimizes the distribution of content by caching data at edge locations closest to users, reducing network traffic and improving load times.
  • AWS Global Accelerator: Improves availability and performance for users by routing traffic to optimal endpoints based on health and geography, thus lowering the distance network traffic must travel.

Question: How do you align cloud resources to your demand?
Pillar: Sustainability (Code: SUS)

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