SCSUS01-BP01 Optimize your visibility over the entire supply chain network
Verify consistent visibility of your supply chain workloads across the entire supply chain network. The goal is to collect information on where workloads are running and how much resources they require to fulfill business needs. Reaching this level of visibility enables organizations to look for optimal AWS Regions, from both business efficiency and sustainability needs standpoint, where workloads can or should run to match service levels and sustainability targets.
Desired outcome: Achieve comprehensive visibility into your supply chain network, to help make sure that workloads are running within the optimal setup to meet business needs while minimizing emissions. This includes mapping critical workloads, highlighting self-managed areas versus partner areas and continuously adapting to the evolving business requirements and external conditions.
Benefits of establishing this best practice: This practice enables informed decision-making, optimal resource usage, and alignment of technology to sustainability targets. It promotes transparency across supply chain networks, which enhances accountability and performance efficiency.
Level of risk exposed if this best practice is not established: High
Implementation guidance
Evaluate and map your supply chains technology-related workloads, focusing especially on the most critical scenarios, with your supply chain network. This creates a comprehensive view of where you run the most intensive workloads, where you have the biggest facilities or most relevant supply chain infrastructures, and how they connect to each other through the network.
Highlight the areas of your network which are directly managed by you and which ones from your trading partners, while considering calculating the footprint of the workloads running on-premises and in the cloud.
Implementation steps
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Map supply chain technology workloads and identify the most critical scenarios across your network infrastructure.
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Evaluate current workload placement and calculate emissions footprint for both on-premises and cloud-based operations.
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Assess optimal AWS Regions based onProximity to renewable energy projects in the regions, lowest carbon footprint, latency requirements, and service availability.
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Analyze cost implications and Sovereignty constraints when selecting AWS Regions for workload placement.
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Develop a migration plan for workloads that should be moved to more sustainable AWS Regions while maintaining operational requirements.
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Establish ongoing monitoring and optimization processes to adapt AWS Region selection as business needs and sustainability goals evolve.