AWS IoT Core Architecture Patterns: Fleet Provisioning, Rules, Shadows
Overview
How to architect on AWS IoT Core in 2026 — provisioning, rules engine, device shadow, and the patterns that age well at 10k, 100k, and 1M devices.
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Platform choices determine your cost curve at 10k, 100k, and 1M devices. This hub covers managed clouds, self-hosted alternatives, time-series storage, edge-vs-cloud AI, and the operational economics of running an IoT platform.
9 essays published in this topic
Overview
How to architect on AWS IoT Core in 2026 — provisioning, rules engine, device shadow, and the patterns that age well at 10k, 100k, and 1M devices.
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A practical comparison of Azure IoT Hub and Azure IoT Central in 2026 — when the managed Central experience wins, when raw Hub is the right call.
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Architectural patterns for IoT edge gateways in 2026 — local processing, store-and-forward, edge AI, and the operational realities of running compute at the edge.
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How to migrate IoT workloads between AWS IoT, Azure IoT, and self-hosted platforms — the patterns that minimise risk and the gotchas that bite mid-migration.
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When to self-host the IoT platform — ThingsBoard, EMQX, Mainflux, HiveMQ — and what each is genuinely good at versus the managed-cloud alternatives.
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What works, what is still painful, and how to decide whether your IoT product should run a model on the device or in the cloud.
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The patterns we use to ingest, store, and query high-volume IoT telemetry — and the failure modes that bite when you try to use a generic database for it.
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Where the cloud bill actually goes on an IoT product, and the levers that reduce it 10x without touching feature scope.
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A practical decision framework for whether your IoT product's AI feature should run on the device or in the cloud, and the hybrid pattern that often wins.
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Comparison guides for IoT development boards, sensors, gateways, and prototyping kits. Pick the right hardware for your connected product.
IoT security platforms, threat modeling, secure provisioning, and the OWASP IoT Top 10 for product teams shipping connected devices.
Integrating IoT data with ERP, CRM, BI, and business systems. Webhooks, streaming, data lakes, multi-cloud architectures, and middleware patterns.
Picking microcontrollers, designing firmware, BLE battery life, mobile companion apps, and the device-side engineering that makes products work.
MQTT, CoAP, LoRaWAN, Matter, Thread, OCPP, OPC UA — pick the right protocol and ship a device that interoperates.
Predictive maintenance, smart factories, OEE dashboards, digital twins, and the OT/IT integration that makes Industry 4.0 real.
Matter, Thread, local-first design, voice assistants, energy monitoring, and the consumer-IoT decisions product teams face in 2026.
IoT applications across healthcare, energy, EV charging, agriculture, retail, hospitality, mining, and education. Vertical-specific patterns.
OTA pipelines, fleet observability, device onboarding at scale, incident response, and the SRE practices that keep IoT fleets healthy.
Ready to ship
One practical IoT engineering essay a month — covering exactly the topics in these hubs.