User Guide
FacilFlow’s interface is organized into five navigation sections matching how you work with industrial data: connect sources, set up infrastructure, build pipelines, analyze results, and operate in production.
Connect
Set up data ingestion from plant floor systems and external sources.
| Page | Description |
|---|---|
| Connectors | Browse 300+ Airbyte sources, Telegraf plugins, API repository, custom connectors |
| Edge Agents | Deploy and manage FacilEdge agents at plant sites |
| Data Sources | Register, test, and manage data source connections |
Infrastructure
Provision and manage the compute and storage layer.
| Page | Description |
|---|---|
| Clusters | InfluxDB 3 cluster provisioning, multi-node management, data explorer |
Build
Create data pipelines, ML models, and define schemas.
| Page | Description |
|---|---|
| Pipelines | Visual drag-and-drop pipeline builder with templates and test mode |
| ML Models | MLflow experiments, model registry, staging, feature engineering |
| Schemas | Schema versioning, compatibility checking, rollback |
Analyze
Explore data, build dashboards, and ensure quality.
| Page | Description |
|---|---|
| Dashboards | Widget-based dashboard builder with sharing and permissions |
| Data Quality | Quality rules, evaluation engine, scoring, alerts |
| Lineage | Data lineage graph, upstream/downstream tracking, impact analysis |
Operate
Monitor, schedule, and govern your data platform.
| Page | Description |
|---|---|
| Alerts | Alert rules, multi-channel delivery, escalation policies |
| Scheduler | Cron and event-based scheduling with execution history |
| Storage | Multi-cloud object storage (MinIO, S3, Azure, GCS) |
| Governance | Data classification, resource tagging, audit logs |
| Jarvis AI | AI assistant with MCP tools and artifact rendering |