IoT
insights
Filtered field notes for IoT work, newest first.
Managing Sensor Calibration Data for Reliable Decisions
A practical framework for making sensor calibration data traceable, versioned, and safe to use in operational decisions.
Safe OTA Updates and Recovery for Industrial Gateways
A practical design guide to signed releases, staged rollout, atomic installation, rollback, and field recovery for industrial gateways.
Provisioning, Rotating, and Revoking IoT Device Certificates
A practical approach to building an auditable IoT certificate lifecycle that survives outages, hardware limits, and security incidents.
Modbus, OPC UA, and MQTT Gateways: Making the Engineering Trade-offs
A practical framework for choosing gateway protocols based on device support, semantics, connectivity, security, control, and operations.
Handling Latency and Missing Values in IoT Dashboards
A practical approach to timestamps, quality flags, imputation, and UI design for IoT dashboards that remain trustworthy under imperfect data.
Moving Equipment Alerts from Rule Engines to AI-Assisted Triage
A practical architecture for adding contextual AI triage while retaining deterministic safety rules, auditability, and reliable fallback paths.
Edge Filtering Before IoT Sensor Data Reaches the Cloud: A Practical Engineering Guide
A practical framework for reducing IoT traffic at the edge without weakening alerts, traceability, or downstream analytics.
Resilient Cloud Ingestion for Factory Data During Network Outages
A practical design guide to edge buffering, idempotent delivery, controlled replay, and failure testing for factory-to-cloud data pipelines.
When edge computing is actually worth it
A practical engineering view on when IoT workloads should run at the edge instead of only in the cloud.
Choosing a Time-Series Database for IoT: Start With Data and Operations
A practical engineering guide to selecting a time-series database for IoT workloads, from ingest patterns to retention and operations.
Integrating MQTT and OPC-UA on the Factory Floor
A practical guide to combining OPC-UA and MQTT for factory data, edge gateways, cloud systems, and maintainable operations.
Three ways to move IoT data from edge to cloud
What are MQTT, Kafka and HTTP each good for? Choosing among three common patterns for getting IoT data to the cloud, by bandwidth, throughput, latency and integration effort.
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