UitbreidenOS When to activate
- Connecting IoT devices to AWS IoT Core or Azure IoT Hub
- Implementing MQTT communication patterns
- Designing device shadow/digital twin systems
- Building IoT data pipelines and analytics
- Managing device fleets (provisioning, monitoring, OTA)
When NOT to use
- For consumer mobile app backends
- For web application cloud architecture
- For non-IoT cloud deployments
Instructions
- Choose platform. AWS IoT Core (X.509 certs, Shadow, Rules), Azure IoT Hub (DPS, Twins, Streams), or self-hosted (EMQX + TimescaleDB).
- Device identity. X.509 certificates (most secure), SAS tokens (simpler), JIT provisioning. Unique per device.
- MQTT patterns. Publish telemetry (device → cloud). Subscribe to commands (cloud → device). QoS 1 for reliability.
- Device shadow/twin. Desired state (cloud → device), Reported state (device → cloud). Device syncs on reconnect.
- Data pipeline. MQTT → Rule Engine → Lambda/Function → Time-series DB → Dashboard. Batch for analytics.
- Fleet management. AWS Fleet Provisioning or Azure DPS. Group devices. Monitor connection health. Alert on offline devices.
- Security. TLS 1.2+ for all communication. Rotate certificates. Least-privilege IAM policies. Audit logging.
Example
IoT Architecture: Smart Building Sensors (500 devices)
Device → Cloud:
MQTT Publish: sensors/{deviceId}/telemetry
Payload: {"temp": 22.5, "humidity": 45.2, "co2": 650}
Frequency: every 5 minutes
QoS: 1
Cloud → Device:
MQTT Subscribe: sensors/{deviceId}/commands
Shadow: sensors/{deviceId}/shadow (desired/reported)
Pipeline:
IoT Rule → Lambda → DynamoDB (latest state)
IoT Rule → Kinesis → S3 (historical data)
IoT Rule → SNS (alerts when thresholds exceeded)
Fleet:
Provisioning: JITR with fleet provisioning templates
Monitoring: CloudWatch alarms for disconnections >5min
OTA: AWS IoT Jobs for firmware deployment