2 posts tagged with "implementation"

Operating multi-tenant dataspace environments requires an architectural model that is both scalable and predictable. The Virtual Connector(EDC-V), combined with the Connector Fabric Manager(CFM), provides exactly that: a way to deliver dataspace capabilities as a managed platform rather than a collection of individual connector deployments. Instead of treating each participant as a separate infrastructure footprint, service virtualization turns participant contexts into lightweight, repeatable units that the platform can provision and operate at scale.

In practice, this is how cloud providers and enterprises build digital ecosystems at scale: by making partner participation repeatable, governed, and interoperable with a cost-effective multi-tenant infrastructure.

This guide explains how to run that enterprise platform effectively. It brings the core pieces of the Eclipse Dataspace Components ecosystem: connector data and controlplane, catalog, identity, access and usage policies, contract negotiation into a coherent operational model that cloud providers and data platform teams can adopt with confidence. Whether you're onboarding a participant, a virtual participant agent (VPA), or scaling runtime capacity, the goal is to give you a blueprint for reliable operations across multiple dataspaces.

The guide is structured around three perspectives that together form the foundation for operating EDC-V in production:

• Operation: the cloud-native foundation, the CFM management plane, and the shared runtime cells that host VPA contexts.
• Participant experience: onboarding, credential handling, catalog publication, and sharing workflows easily manageable through the customer portal.
• Data Sharing: the protocol choreography for sharing, trust evaluation, and separation of control plane and data plane responsibilities that enable trusted data sharing.

This guide is written for teams responsible for running a dataspace as a service for multiple customers, those who need to understand how to operate these components cost-effectively and scaleably. The aim is to provide a practical, implementation-oriented view of multi-tenant operation: one that turns dataspaces into a production-ready environment.

Target Audience: Technical Decision Makers, Enterprise Architects, and Developers who need to run or extend the platform.

You cannot evaluate a dataspace by reading about it; you need to see it run. JAD (Just Another Demonstrator) is the reference implementation for a modern Dataspace-as-a-Service platform.