• Amazon Elastic Kubernetes Service (Amazon EKS)
• Amazon Simple Storage Service (Amazon S3) |

Summary

Data spaces are federated networks for data exchange with trust and control over one's data as core principles.

They enable organisations to share, exchange and collaborate on data at scale by offering a cost-effective and technology agnostic solution.

Data spaces have the potential to significantly drive our efforts for a sustainable future by leveraging data-driven problem solving with an end-to-end approach that involves all relevant stakeholders.

In this pattern, we guide you through the example of how two companies can leverage data space technology on top of AWS to drive their carbon emissions reduction strategy forward.

Concretely, we provide guided steps on:

1. How to deploy the infrastructure needed for a simple data space with two participants running on AWS.
2. How to exchange carbon emissions intensity data using the connectors in a secure way.

This pattern deploys a Kubernetes cluster that will host data space connectors and their services via Amazon EKS.

Both the Eclipse Dataspace Components (EDC) control plane and data plane will be deployed on Amazon EKS and we use the official Tractus-X Helm chart that deploys PostgreSQL and Vault services as dependencies.

In addition, we deploy the identity service on Amazon EC2 in order to replicate a real life scenario of an Minimum Viable Data Space (MVDS).

Prerequisites and limitations

Prerequisites

• An active AWS account to deploy the infrastructure in your chosen AWS region
• AWS user with access to S3 that will be used temporarily as a technical user. It is recommended that you create one IAM user specifically for this demo and that this user will have limited permissions associated with it.
• AWS CLI installed and configured, it is recommended your AWS region before you start
• AWS security credentials
• eksctl in your workstation