# MIDASUS01-BP01 Select Regions that offer services required by Manufacturing organizations that maximizes the reduction of your carbon footprint
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 Choose Regions with lower carbon footprint for your manufacturing workloads while meeting technical, compliance, and performance requirements. 

 **Desired outcome:** Manufacturing workloads deployed in regions that minimize carbon footprint while maintaining operational excellence, compliance requirements, and optimizing for latency to manufacturing facilities. 

 **Benefits of establishing this best practice:** 
+  Reduced environmental impact and energy costs for manufacturing IT operations. 
+  Enhanced sustainability reporting for regulatory compliance and improved brand reputation. 
+  Strategic alignment with carbon reduction goals prepares the organization for evolving environmental regulations in manufacturing. 

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

## Implementation guidance
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+  Select cloud regions with lower carbon footprint that also satisfy your manufacturing compliance requirements, data sovereignty needs, and performance thresholds. 
+  Deploy manufacturing workloads on energy-efficient computing systems within these sustainable regions to maximize environmental benefits. 
+  Configure automatic scaling policies that align with manufacturing production patterns to verify that computing resources are only active when needed. 
+  Implement edge processing at manufacturing facilities to reduce data transfer volumes between factories and cloud regions. 
+  Use efficient data transfer mechanisms and compression techniques when moving manufacturing data between regions to minimize network impact. 
+  Consider hybrid deployment models for manufacturing workloads that must remain geographically close to production facilities while still benefiting from cloud sustainability features. 

### Implementation steps
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1.  **Carbon footprint assessment:** 
   +  Conduct an environmental impact assessment of your current manufacturing workload deployment using the AWS Customer Carbon Footprint Tool 
   +  Map manufacturing compliance and technical requirements against available lower-carbon regions 
   +  Create a phased migration plan for manufacturing workloads to greener regions, prioritizing non-critical applications first 

1.  **Deploy energy-efficient computing:** 
   +  Deploy EC2 Graviton instances with Auto Scaling configurations that align with production schedules and peak processing times 
   +  Configure Amazon EC2 Auto Scaling groups based on manufacturing production patterns 

1.  **Optimize edge processing:** 
   +  Implement AWS IoT Greengrass at manufacturing facilities to optimize edge processing and reduce unnecessary data transfers 
   +  Configure IoT rules to filter and aggregate manufacturing data at the edge 
   +  Set up AWS DataSync for efficient transfer of required manufacturing data between regions 

1.  **Implement hybrid solutions:** 
   +  Deploy AWS Outposts or AWS Local Zones for manufacturing workloads requiring low-latency access to production facilities 
   +  Configure AWS Direct Connect for high-throughput, low-latency connectivity between manufacturing sites and sustainable regions 
   +  Implement Amazon S3 Transfer Acceleration for optimized cross-regional data movement when required 

1.  **Establish monitoring and governance:** 
   +  Create Amazon CloudWatch dashboards to track resource utilization and carbon metrics across regions 
   +  Establish sustainability KPIs and monitoring dashboards to track carbon reduction progress 
   +  Implement quarterly reviews to reassess regional deployment decisions based on sustainability performance metrics 

1.  **Continuous optimization:** 
   +  Use AWS Cost Explorer and Sustainability reports to identify further optimization opportunities 
   +  Regularly review and update regional deployment strategy as cloud provider sustainability features evolve 

## Key AWS services
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+  AWS Customer Carbon Footprint Tool 
+  Amazon EC2 Auto Scaling 
+  AWS Graviton 
+  AWS DataSync 
+  AWS IoT Greengrass 
+  AWS Outposts 
+  Amazon CloudWatch 
+  AWS Cost Explorer 
+  AWS Direct Connect 
+  AWS Local Zones 

## Resources
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+  [AWS Customer Carbon Footprint Tool ](https://aws.amazon.com/aws-cost-management/aws-customer-carbon-footprint-tool/) 
+  [AWS Graviton Processors](https://aws.amazon.com/ec2/graviton/) 
+  [Get started with Amazon EC2 Auto Scaling](https://docs.aws.amazon.com/autoscaling/ec2/userguide/get-started-with-ec2-auto-scaling.html) 
+  [AWS DataSync](https://aws.amazon.com/datasync/) 
+  [AWS Outposts Gives Manufacturers the Power of AWS On Premises](https://d1.awsstatic.com/Solutions/Outposts%20Manufacturing%20Solution%20Brief%20US%20Letter%20AWS%2009.30.20%20FINAL.pdf) 
+  [AWS Local Zones](https://aws.amazon.com/about-aws/global-infrastructure/localzones/)