Part of parent story #41.
🎯 Goal
Author the comprehensive advanced-level tutorial and deployable container stack for the IoT Telemetry reference application.
📋 Specification
- Create
examples/iot-telemetry-engine/docker-compose.yml:
- Services: PostgreSQL, RabbitMQ management, MinIO S3, Telemetry Worker.
- Create
examples/iot-telemetry-engine/Containerfile:
- Multi-arch OCI build (linux/amd64, linux/arm64) adhering to Quatrain OCI label standards.
- Create
examples/iot-telemetry-engine/README.md detailing:
- Architecture diagram: Webhooks ➔ RabbitMQ ➔ Workers ➔ PostgreSQL/S3 ➔ Gemini AI.
- Step 1: Modeling devices with MDM capabilities.
- Step 2: Ingesting sensor frames with RabbitMQ concurrent workers.
- Step 3: Polyglot ObjectUri persistence across PostgreSQL, AMQP, and S3.
- Step 4: AI Anomaly diagnosis with Google Gemini schema guarantee.
- Step 5: Sovereign deployment on Bare-metal or Kubernetes via Podman / Docker.
- Cross-link tutorial in docs under
docs/pages/tutorials/iot-telemetry-pipeline.md.
Part of parent story #41.
🎯 Goal
Author the comprehensive advanced-level tutorial and deployable container stack for the IoT Telemetry reference application.
📋 Specification
examples/iot-telemetry-engine/docker-compose.yml:examples/iot-telemetry-engine/Containerfile:examples/iot-telemetry-engine/README.mddetailing:docs/pages/tutorials/iot-telemetry-pipeline.md.