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DRHCSUS02-BP01 When using Local Zones, monitor and scale your workloads to match demand, and use only the minimum required resources - Data Residency and Hybrid Cloud Lens

DRHCSUS02-BP01 When using Local Zones, monitor and scale your workloads to match demand, and use only the minimum required resources

Resources and services in AWS Local Zones, like those in AWS Regions, can be scaled dynamically to match measured demand, minimizing energy consumption.

Desired outcome: The number and type of Amazon EC2 instances deployed will be optimized to support workload requirements while adhering to sustainability goals

Benefits of establishing this best practice: Resource utilization can be reduced to minimize energy consumption and support your sustainability objectives.

Level of risk exposed if this best practice is not established: Medium

Implementation guidance

Although Local Zones provide only a subset of the Amazon EC2 instance families and types available in an AWS Region, you should still use AWS capabilities that support elasticity to monitor and scale workloads to meet the measured demand and improve sustainability.

Services such as Auto Scaling groups, Amazon CloudWatch, and AWS Compute Optimizer can be used to optimize the number and sizes of EC2 instances to meet workload demands. For Amazon EKS workloads, consider using Karpenter to automatically scale Kubernetes clusters to match instantaneous demand using instances aligned exactly to compute demands. For more detail on scaling for sustainability, see SUS02-BP01 Scale workload infrastructure dynamically and SUS02-BP03 Stop the creation and maintenance of unused assets .