A digital backbone for functionally networking business applications to enable seamless interaction with business data.
DigiSpine provides a unified, domain-driven digital backbone for manufacturing and production environments. It connects business applications across domains and enables both operational communication and real-time analytics. By treating business processes as event streams and exposing well-defined data products, DigiSpine creates a consistent, scalable foundation for modern industrial solutions.
Modern manufacturing and production facilities rely on a growing landscape of specialized business applications—MES, ERP, quality systems, logistics platforms, and analytical tools. These systems typically operate in silos, making it difficult to:
- Exchange information seamlessly across domains and departments
- Create integrated, real-time insights
- Optimize production processes end-to-end
DigiSpine addresses these challenges by enabling a functionally networked ecosystem based on domain-driven modeling, event streaming, and self-service data products.
- Seamless exchange of business-critical information between operational and strategic domains
- Clear domain boundaries and shared language via DDD
- Streamlined workflows across production, logistics, quality, maintenance, and planning
- Continuous monitoring and optimization of manufacturing and production processes
- Generation of analytical event streams derived from operational streams
- Real-time and batch data products for analytics, BI, and AI systems
DigiSpine uses DDD principles to ensure that the software model matches the real-world domain:
- Ubiquitous language
- Explicit boundaries
- Subdomains mapped to self-contained components
- Alignment with domain experts to ensure correctness and usability
DigiSpine follows a Self-Contained Systems architecture:
- One SCS architecture per domain (TODO: add SCS link)
- One SCS per subdomain, providing high autonomy and loose coupling
- Clear interfaces for operational and analytical data flows
The production process is represented as continuous streams of DomainEvents describing what happens on the shop floor.
(TODO: add image/diagram)
Analytical streams are derived from operational streams and are exposed by SCS components. They power:
- Real-time dashboards
- Machine learning applications
- Predictive maintenance
- Quality analytics
Following data mesh principles, domain teams expose data products that are:
- Discoverable
- Trustworthy
- Versioned
- Real-time or batch
These products form the analytical backbone for downstream systems.
Work in progress (WIP).
More sections—such as architecture diagrams, installation, deployment, APIs—will be added as the project evolves.