# AWS IoT Core

Cloud service · AWS. Updated 2026-10-29. Page: https://blowstack.com/tools/cloud-services-hub/aws-iot-core

> AWS IoT Core is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.

Practice exams covering AWS IoT Core: [CLF-C02 AWS Certified Cloud Practitioner](https://blowstack.com/practice-exams/aws-certified-cloud-practitioner), [SCS-C03 AWS Certified Security - Specialty](https://blowstack.com/practice-exams/aws-certified-security-specialty).

## 7 key features of AWS IoT Core

AWS IoT Core enhances IoT applications with secure device connectivity, real-time data exchange, persistent device shadows, a versatile Rules Engine, comprehensive device management, and extensive integration with AWS services.

1. **Secure Device Connectivity**: AWS IoT Core provides secure communication with devices using industry-standard encryption protocols, ensuring data is safely transmitted between devices and the cloud.
2. **Message Broker for MQTT, HTTP, and WebSockets**: It supports publishing and subscribing over secure MQTT and WebSockets, and publishing over HTTPS.
3. **Device Shadow**: Device Shadow offers a persistent, virtual version of each device, which can be used to store and retrieve current state information whether the device is online or offline.
4. **Rules Engine**: The Rules Engine transforms and routes device data to other AWS services like Lambda, S3, and DynamoDB for processing, storage, or further actions.
5. **Secure Device Gateway**: AWS IoT Core features a Secure Device Gateway that manages all aspects of device connectivity and security, including authentication and authorization.
6. **Registry for Device Management**: AWS IoT Core includes a registry to easily manage and identify devices, maintaining a unique identity and metadata for each device.
7. **Integration with AWS Services**: Seamlessly integrates with other AWS services, enabling advanced analytics, machine learning, and more to enhance IoT applications.

## Where AWS IoT Core is used

AWS IoT Core enables a wide range of applications including smart home automation, industrial monitoring, healthcare systems, supply chain tracking, and agricultural optimizations through device connectivity and data analysis.

1. **Smart Home Automation**: AWS IoT Core enables users to connect and manage various smart home devices like lighting, thermostats, and security systems. It can analyze user behavior to automate devices based on preferences, improving energy efficiency and offering personalized experiences.
2. **Industrial IoT Applications**: Businesses use AWS IoT Core to connect and monitor industrial equipment. It facilitates predictive maintenance by analyzing equipment data to predict failures before they occur, minimizing downtime and reducing maintenance costs.
3. **Healthcare Monitoring Systems**: AWS IoT Core supports remote patient monitoring systems by collecting data from wearable devices and health monitors. It securely processes and analyzes health data in real-time, enabling healthcare providers to offer timely interventions and personalized care plans.
4. **Supply Chain Tracking**: This use case involves leveraging AWS IoT Core for real-time visibility into supply chain logistics, including tracking the location, condition, and authenticity of goods as they move. It enhances operational efficiency, reduces losses, and ensures regulatory compliance.
5. **Agricultural Monitoring and Management**: AWS IoT Core can be used to optimize agricultural operations by collecting data from soil sensors, climate conditions, and crop health monitors. This data helps in making informed decisions on irrigation, fertilization, and harvesting, leading to increased crop yields and reduced resource consumption.

## How AWS IoT Core is priced

AWS IoT Core offers a pay-as-you-go model with rates based on message volume and connectivity, alongside a Free Tier for new users to get started at no cost.

- **Pay-As-You-Go**: AWS IoT Core follows a pay-as-you-go model where you pay only for what you use. Prices are calculated based on the number of messages published and delivered to IoT devices, with different rates for the first 1 billion messages and thereafter. Connectivity is metered in one-minute increments based on the total time devices are connected, rather than the amount of data transferred.
- **Free Tier**: Starting July 15, 2025, new AWS customers receive up to $200 in Free Tier credits applicable to eligible services, including AWS IoT Core. Customers can choose a free plan available for six months or a paid plan; remaining credits apply after upgrading to a paid plan, and all credits must be used within 12 months of account creation.
- **Device Shadow and Registry Operations**: Device Shadow and registry usage is billed by operations that access or modify their data, metered in 1 KB increments of the record size.
- **Rules Engine**: Rules Engine usage is billed for rule evaluations and executed actions, with a minimum of one action per rule. Rules and actions are metered in 5 KB message-size increments.
- **Direct Messaging**: Direct messaging is charged as one direct message rather than separate publish-in and publish-out messages. Delivery-confirmed messages have a separate charge category replacing publish-in, publish-out, and publish-ack messages. Both categories are metered in 5 KB payload increments.
- **LoRaWAN Messaging**: AWS IoT Core for LoRaWAN has message-based pricing per million messages.
- **LoRaWAN Firmware Updates**: Firmware Update Over-the-Air usage is metered as one task per device targeted by an update, with the first 100 FUOTA tasks free.
- **LoRaWAN Public Network Subscription**: Everynet public network access has a monthly per-device subscription covering the first 1,000 messages, followed by per-message charges beyond that allowance.
- **LoRaWAN Metrics**: LoRaWAN Metrics charges for metric records and metric queries. Record billing starts when the feature is activated and is based on uplink or downlink metadata records processed and stored.
- **Amazon Sidewalk Messaging**: AWS IoT Core for Amazon Sidewalk has message-based pricing per million messages.
- **Device Location**: Device Location is priced per 1,000 solved locations, with volume tiers up to 1 million, from 1 million to 5 million, and over 5 million solved locations.
- **Semtech Advanced Transport**: For devices using Semtech Advanced Transport services such as ROSE, transported data is charged monthly at $0.145 per MB for the first 50 MB and $0.116 per MB above 50 MB.
- **Device Advisor**: Device Advisor is free to use, but AWS resources consumed during testing, including IoT Core usage and CloudWatch logs, are billed separately.

## Services AWS IoT Core works with

- **[Amazon S3](https://blowstack.com/tools/cloud-services-hub/amazon-s3)**: AWS IoT Core can store and retrieve large amounts of device data and logs by integrating with Amazon S3.
- **[Amazon RDS](https://blowstack.com/tools/cloud-services-hub/amazon-rds)**: AWS IoT Core can interact with data stored in relational databases hosted on Amazon RDS for more complex querying and data processing.
- **[AWS Lambda](https://blowstack.com/tools/cloud-services-hub/aws-lambda)**: AWS IoT Core uses AWS Lambda to execute custom code in response to IoT events and messages.
- **[Amazon DynamoDB](https://blowstack.com/tools/cloud-services-hub/amazon-dynamodb)**: AWS IoT Core can store and retrieve data within a scalable NoSQL database by integrating with Amazon DynamoDB.
- **[Amazon Kinesis](https://blowstack.com/tools/cloud-services-hub/amazon-kinesis)**: AWS IoT Core can stream IoT data to Amazon Kinesis for real-time data processing and analytics.

## What is AWS IoT Core

AWS IoT Core is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. This platform provides a solid foundation for the Internet of Things (IoT) ecosystem, ensuring seamless connectivity between devices and the AWS cloud. It becomes a pivotal element for developers and businesses looking to build or expand their IoT applications, offering a suite of features designed to address various aspects of device-to-cloud and device-to-device communication.

At its core, AWS IoT Core enables devices to connect to the cloud over MQTT, WebSocket, or HTTP 1.1 protocols. This flexibility in connectivity options ensures that a wide array of devices, regardless of their built-in capabilities or the environment they operate in, can reliably communicate with the cloud. This is particularly critical in IoT applications where devices might have limited computing power and need optimized protocols for efficient communication. One of the standout features of AWS IoT Core is its security mechanism.

AWS IoT Core for LoRaWAN provides a fully managed LoRaWAN Network Server for low-power, long-range wireless connectivity. Customers can build public or private LoRaWAN networks without operating their own network server.

AWS IoT Core for Amazon Sidewalk enables developers to provision, onboard, and monitor Sidewalk-enabled devices through AWS IoT Core.

Security is paramount in IoT applications, especially given the sensitivity and volume of the data being exchanged. AWS IoT Core addresses these concerns by providing mutual authentication and encryption at all points of connection, ensuring that data is only transferred between recognized and trusted devices and the AWS cloud. Furthermore, the service allows users to set and enforce policies that govern how devices interact with the cloud and with each other, providing an additional layer of security through fine-grained access control.

AWS IoT Core also simplifies the integration of IoT data with other AWS services. This allows for a more robust data processing, storage, and analysis ecosystem. For instance, data collected through AWS IoT Core can be processed in real-time using AWS Lambda, stored securely in Amazon S3, or analyzed with Amazon QuickSight for actionable insights. This streamlined integration opens up vast possibilities for IoT applications, from simple device monitoring to complex machine learning models that predict device maintenance needs.

Rules are configured using SQL-like syntax to filter and transform inbound device data before routing it to AWS services or other destinations.

With Device Shadow, applications can set a desired device state through a RESTful API, and AWS IoT Core synchronizes that desired state to the device.

Within the registry, Thing Types define common characteristics for devices in the same category. A thing associated with a Thing Type can have up to 50 attributes, including three searchable attributes.

Moreover, AWS IoT Core supports billions of devices and trillions of messages, scaling up as the demand increases without the need for infrastructure management by the user. This scalability is crucial for IoT applications that may start small but have the potential to grow exponentially as more devices get connected. The managed service aspect of AWS IoT Core means that users can focus on developing their applications without worrying about the underlying infrastructure's operational aspects.

In conclusion, AWS IoT Core presents a comprehensive and secure platform for building IoT applications. Its support for multiple communication protocols, robust security features, seamless integration with other AWS services, and scalability make it an ideal choice for developers and businesses looking to harness the power of IoT. Whether for smart home applications, industrial monitoring, or health tracking, AWS IoT Core provides the necessary tools to connect devices to the cloud reliably and securely, paving the way for innovative applications that can leverage the full potential of the Internet of Things.

## Concepts related to AWS IoT Core

- [Mutual TLS](https://blowstack.com/tools/cloud-concepts-hub/mutual-tls): Mutual TLS is a TLS configuration in which both communicating peers authenticate each other with digital certificates while encrypting data in transit.
- [OWASP Top 10](https://blowstack.com/tools/cloud-concepts-hub/owasp-top-10): The OWASP Top 10 is a periodically updated awareness document describing major categories of security risk in web applications.
- [Rule-Based AI](https://blowstack.com/tools/cloud-concepts-hub/rule-based-ai): Rule-based AI uses explicitly defined rules and facts to make decisions or draw conclusions rather than learning decision patterns from training data.
- [Rule-Based Systems](https://blowstack.com/tools/cloud-concepts-hub/rule-based-systems): Rule-based systems automate decisions and actions by applying explicitly defined conditions to input data.
- [Servitization](https://blowstack.com/tools/cloud-concepts-hub/servitization): Servitization is the transformation of a product-focused business into one that delivers ongoing customer value through services built around its products.