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Data Platform, Analytics, AI & Knowledge - Analysis¶
Planning-layer analysis for category 7. It groups the 50 candidate services into capabilities, recommends what becomes a standalone service versus a module, and captures domain, interface, and non-functional notes. For the plain item list see the browse page.
Scope & Bounded Context¶
- Primary bounded context: Data & Analytics / AI Orchestration
- Group: core
- Default wave / cycle: Phase 2 · Cycle 1: AI Factory SaaS
- Items: 50 candidates
This category is anchored to the ConnectSoft DDD baseline in the SaaS framework DDD blueprint and the service classification model.
Classification Breakdown¶
| Classification | Count |
|---|---|
| Microservice | 2 |
| Module-in-service | 45 |
| Platform Product | 1 |
| Portal/UI Module | 2 |
Anti-fragmentation stance
Per ADR-0011, the 45 module candidates below are delivered inside the Data & Analytics / AI Orchestration bounded-context service, not as separate microservices. Only the 3 platform/service candidates justify an independent runtime.
Standalone Service / Platform Candidates¶
| ID | Service | Tier | Status |
|---|---|---|---|
| CS-SVC-0301 | Data Platform Control Service | 1 | Planned |
| CS-SVC-0316 | Analytics Event Router | 1 | Planned |
| CS-SVC-0346 | LLM Gateway Service | 1 | Planned |
Portal / UI Modules¶
- Usage Analytics Dashboard (
CS-SVC-0320) - BI Portal (
CS-SVC-0321)
Domain, Interfaces & Data Ownership¶
- Aggregates are owned by the Data & Analytics / AI Orchestration context; cross-context reads go through published contracts, never shared databases.
- Integration is event-first (outbox + integration events) per the event-driven mindset.
- APIs are contract-first and versioned through the API & Integration context.
Non-Functional Posture¶
- Multi-tenancy & edition-awareness: required for all serious candidates.
- Security: Standard baseline; secrets via the platform secret store; least privilege.
- Compliance: standard audit logging.
- Observability: OpenTelemetry traces, metrics, and structured logs.
MVP vs Future¶
- MVP (Tier 0-1): Data Platform Control Service, Data Ingestion Service, Batch Import Service, Streaming Ingestion Service, CSV Import Service, Excel Import Service, JSON Import Service, Data Mapping Service
- Future (Tier 4-5): none
Open Questions¶
- Which module candidates, if any, develop independent scaling or ownership needs that would justify promotion to a standalone service?
- Where do this category's contracts overlap with adjacent contexts, and who owns them?