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When drift exceeds configured thresholds, retraining triggers initiate automated training pipelines.\n\n| Component | Path               | Description                                   |\n|-----------|--------------------|-----------------------------------------------|\n| Detection | `drift\u002Fdetection\u002F` | Statistical tests against training baselines  |\n| Alerting  | `drift\u002Falerting\u002F`  | Threshold evaluation and notification routing |\n| Triggers  | `drift\u002Ftriggers\u002F`  | Automated retraining pipeline launching       |\n\n## Key Files\n\n| File                                                         | Description                  |\n|--------------------------------------------------------------|------------------------------|\n| `fleet-intelligence\u002FREADME.md`                               | Domain overview              |\n| `fleet-intelligence\u002Ftelemetry\u002Frouting\u002Fedge-to-eventhub.yaml` | Edge-to-cloud routing config |\n| `fleet-intelligence\u002Fdashboards\u002Fgrafana\u002Ffleet-overview.json`  | Grafana dashboard definition |\n| `fleet-intelligence\u002Fdashboards\u002Ffabric\u002Ffleet-kql-queries.kql` | Fabric KQL analytics queries |\n","# Fleet Intelligence\n\nMonitor and analyze deployed robot fleet telemetry — IoT Operations data collection, Grafana dashboards, drift detection, and Fabric Real-Time Intelligence analytics.\n\n## Prerequisites\n\n| Requirement          | Purpose                              |\n|----------------------|--------------------------------------|\n| Azure IoT Operations | Edge telemetry collection            |\n| Azure Event Hubs     | Cloud telemetry ingestion            |\n| Grafana              | Fleet dashboards and alerting        |\n| Microsoft Fabric     | Real-Time Intelligence KQL analytics |\n| `az` CLI             | Azure authentication                 |\n| `kubectl`            | Cluster access for IoT Operations    |\n\n## Setup Workflow\n\nDeploy fleet intelligence components in order:\n\n### Step 1 — Deploy IoT Operations\n\n```bash\nfleet-intelligence\u002Fsetup\u002Fdeploy-iot-operations.sh\n```\n\n### Step 2 — Deploy telemetry pipeline\n\n```bash\nfleet-intelligence\u002Fsetup\u002Fdeploy-telemetry-pipeline.sh\n```\n\n### Step 3 — Deploy dashboards\n\n```bash\nfleet-intelligence\u002Fsetup\u002Fdeploy-dashboards.sh\n```\n\n### Step 4 — Deploy Fabric Real-Time Intelligence\n\n```bash\nfleet-intelligence\u002Fsetup\u002Fdeploy-fabric-rti.sh\n```\n\n## Telemetry Schemas\n\n| Schema           | Path                                             | Description                          |\n|------------------|--------------------------------------------------|--------------------------------------|\n| Policy Execution | `telemetry\u002Fschemas\u002Fpolicy-execution.schema.json` | Inference metrics and action outputs |\n| Robot Health     | `telemetry\u002Fschemas\u002Frobot-health.schema.json`     | Hardware status and connectivity     |\n\n## Drift Detection\n\nDrift detection monitors deployed policies for performance degradation. 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