Checklist for Dynamic Scaling Example

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.

• 1. Assess Demand Patterns: Analyze historical usage data to understand peak and off-peak times.
• 2. Implement Auto-Scaling: Use AWS services like EC2 Auto Scaling to automatically adjust the number of instances based on demand.
• 3. Use Serverless Architectures: Consider serverless options like AWS Lambda for workloads that have unpredictable or variable traffic.
• 4. Geographic Optimization: Deploy applications in multiple regions to be closer to users, reducing latency and improving performance.
• 5. Monitor and Adjust: Continuously monitor resource usage and costs, adjusting configurations as necessary to align with ongoing demand.

By following this checklist, organizations can ensure that their cloud resource allocation is aligned with actual demand, thereby improving sustainability and operational efficiency.