AWS IoT Core のアイコン

AWS IoT Core Specialized2015年〜

A managed service for securely connecting IoT devices to the cloud and processing messages

About 2 min read

What It Does

AWS IoT Core is a managed service that securely connects billions of IoT devices to the AWS cloud and processes messages between devices and the cloud. It supports MQTT, HTTPS, and WebSocket protocols, and provides device authentication, message routing, and device shadow (state management) capabilities.

Use Cases

Used for smart home device management, factory equipment monitoring, vehicle telematics, agricultural IoT sensor data collection, and healthcare device monitoring.

Everyday Analogy

Think of it like a telephone switchboard. It accepts calls (messages) from numerous phones (devices) and connects them to the right party (AWS services). It also handles call encryption (TLS) and caller verification (device authentication).

What Is IoT Core?

AWS IoT Core is the foundational service for IoT applications. When a device publishes a message using the MQTT protocol, IoT Core's rule engine automatically executes actions based on the message content, such as saving to DynamoDB, invoking Lambda, or storing in S3.

Device Shadows and the Rule Engine

A device shadow is a virtual representation that manages a device's current state and desired state in JSON. Even when a device is offline, you can check its state and change settings through the shadow. The rule engine filters and transforms messages using SQL-like syntax and routes them to over 20 AWS services. For organizing the concepts and techniques behind device shadows and the rule engine, reference books (Amazon) are handy.

Getting Started

Create a 'Thing' in the IoT Core console and issue an X.509 certificate to place on the device. Set up a policy to configure the device's connect, publish, and subscribe permissions. Use the MQTT test client to verify message sending and receiving, then create rules to automate message processing.

Things to Watch Out For

  • Device certificate management is critical. Certificate leaks pose a security risk, so issue unique certificates per device
  • Billed based on message count. Be mindful of costs with high-frequency messages from a large number of devices
共有するXB!

Related Services

AWS IoT Greengrass iconAWS IoT GreengrassA service for running local compute, messaging, and ML inference on edge devicesAmazon DynamoDB iconAmazon DynamoDBA fully managed NoSQL database delivering single-digit millisecond latencyAWS Lambda iconAWS LambdaA serverless compute service that runs code without server managementAmazon Kinesis iconAmazon KinesisA service for collecting, processing, and analyzing real-time streaming data

Related Articles

Building Edge IoT Applications with AWS IoT Greengrass - Local Processing and Cloud IntegrationRun Lambda functions on edge devices and continue local processing even in environments with intermittent cloud connectivity. This guide covers ML inference at the edge and fleet management.Industrial IoT Monitoring - Collecting and Visualizing Equipment Data with AWS IoT SiteWiseLearn how to collect, model, and visualize industrial equipment data with AWS IoT SiteWise. Covers OPC-UA gateways, asset models, and SiteWise Monitor dashboards.IoT Data Analytics - Structuring and Analyzing Device Data with AWS IoT AnalyticsLearn how to build an IoT device data collection, preprocessing, and analytics pipeline with AWS IoT Analytics. Covers the four components - channels, pipelines, data stores, and datasets - plus QuickSight integration.IoT Device Connectivity with AWS IoT Core - MQTT Communication and Device ShadowsConnect IoT devices via MQTT, synchronize state with device shadows, route data with the rules engine, and design device authentication for secure IoT solutions.IoT Device Management - Building a Scalable IoT Platform with AWS IoT Core and LambdaLearn how to build an IoT device management platform using AWS IoT Core and Lambda.

More in This Category

AWS IoT Greengrass iconAWS IoT Greengrass SpecializedA service for running local compute, messaging, and ML inference on edge devicesAWS IoT Analytics iconAWS IoT Analytics SpecializedA managed service for processing and analyzing large volumes of data collected from IoT devicesAWS IoT Events iconAWS IoT Events SpecializedA service that detects events from IoT sensor data and automatically executes actionsAWS IoT FleetWise iconAWS IoT FleetWise SpecializedA service for efficiently collecting, transferring, and analyzing vehicle data in the cloudAWS IoT SiteWise iconAWS IoT SiteWise SpecializedA service for collecting, organizing, and monitoring industrial equipment dataAWS IoT TwinMaker iconAWS IoT TwinMaker SpecializedA service for building and operating digital twins of physical facilities and equipment

Similar Articles and Services

IoT Device Connectivity with AWS IoT Core - MQTT Communication and Device ShadowsConnect IoT devices via MQTT, synchronize state with device shadows, route data with the rules engine, and design device authentication for secure IoT solutions.IoT Device Management - Building a Scalable IoT Platform with AWS IoT Core and LambdaLearn how to build an IoT device management platform using AWS IoT Core and Lambda.IoT Event Detection - Automatically Detecting and Responding to Device State Changes with AWS IoT EventsLearn how to monitor IoT device state and automate responses with AWS IoT Events. Covers detector models for defining state transitions, alarm features, and SNS/Lambda integration.AWS IoT EventsA service that detects events from IoT sensor data and automatically executes actionsIoT Data Analytics - Structuring and Analyzing Device Data with AWS IoT AnalyticsLearn how to build an IoT device data collection, preprocessing, and analytics pipeline with AWS IoT Analytics. Covers the four components - channels, pipelines, data stores, and datasets - plus QuickSight integration.