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AWS Solutions Library

Guidance for Product Carbon Footprinting on AWS

Overview

This Guidance helps customers scale product carbon footprint (PCF) tracking, reduce the manual effort involved with data collection and calculation, and provide transparent and auditable PCFs for reporting. The architecture pairs Internet of Things (IoT) sensor data from a manufacturing facility with product information and emission factors. An interactive dashboard uses this data to track product-level energy and carbon footprint in addition to benchmarking environmental performance across equipment and sites. With this Guidance, customers can identify hotspots and best practices to lower their PCF and manufacturing costs.

Please note: This solution by itself will not make a customer compliant with any product carbon footprint frameworks, standards, or regulations. It provides the foundational infrastructure from which additional complementary solutions can be integrated.

How it works

Overview

Please note: This is an overview architecture. For diagrams highlighting different aspects of this architecture, open the other tabs.

Download the architecture diagram
Architecture overview diagram illustrating the AWS cloud solution for product carbon footprinting. It details the data flow from industrial operations and static files, through telemetry and static data pipelines, storage, processing, and curated outputs, to the consumption layer with dashboards and web applications.

Data sources and ingestion

Download the architecture diagram
Architecture diagram showing the ingestion of industrial operations and static file data sources for AWS Product Carbon Footprinting, including components such as equipment sensors, AWS IoT Greengrass, Amazon Kinesis Data Stream, AWS Lambda, Amazon Timestream, Amazon S3, Amazon Kinesis Data Firehose, and Amazon API Gateway.

Storage and processing

Download the architecture diagram
Architecture diagram showing a solution for AWS product carbon footprinting, illustrating the storage and processing flow using AWS services such as Amazon Timestream, Amazon S3, AWS Glue, AWS Lambda, Amazon RDS, and Amazon CloudWatch.

Consumption and dashboard

Download the architecture diagram
Architecture diagram illustrating an AWS Solution for carbon footprinting, featuring processed/curated storage with Amazon Timestream, Amazon S3, and Amazon RDS, and integrations with a dashboard (Amazon QuickSight) and a web app with Amazon S3, Amazon CloudFront, Amazon Route 53, and AWS WAF. Serves roles such as Executives, Sustainability SMEs, and Operations.

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

CloudWatch provides centralized logging with metrics and alarms across all deployed services. These metrics and alarms can raise alerts for operational anomalies.

Read the Operational Excellence whitepaper 

Resources are protected using AWS Identity and Access Management (IAM) policies and principles. Use least privilege access and role-based access to grant permissions to operators. AWS Key Management Service (KMS) encrypts data at rest. HTTPS endpoints with transport layer security (TLS) provide encryption for in-transit data, including service endpoints and API Gateway endpoints.

Read the Security whitepaper 

This Guidance uses serverless services whenever possible, such as API Gateway, Lambda, and Timestream, enabling auto-scaling to respond to fluctuating demands. This Guidance also uses AWS services such as Amazon S3, Amazon RDS, and Timestream to provide built-in functionality for data backup and recovery.

Read the Reliability whitepaper 

This Guidance uses serverless managed services, such as Lambda, that automatically scale in response to changing demand, reducing resource overhead. Additionally, customers can apply different analytics tools to their data stored in Amazon S3, depending on their needs.

Read the Performance Efficiency whitepaper 

This Guidance relies on serverless and fully managed services, such as Lambda, Amazon S3, and Timestream, which automatically scale according to workload demand. As a result, you only pay for the resources you use.

Read the Cost Optimization whitepaper 

Amazon S3 lifecycle policies can automatically move data to more energy-efficient storage classes, enforce deletion timelines, and minimize overall storage requirements. Timestream allows for data to automatically be moved from the memory tier to the magnetic tier to minimize cost. This Guidance also uses managed, serverless technologies such as AWS Glue, Lambda, and Timestream to help ensure hardware is minimally provisioned to meet demand.

Read the Sustainability whitepaper 

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.