Learn more about AWS IoT - AWS IoT Core

Learn more about AWS IoT

This topic helps you get familiar with the world of AWS IoT. You can get general information about how IoT solutions are applied in various use cases, training resources, links to social media for AWS IoT and all other AWS services, and a list of services and communication protocols that AWS IoT uses.

Training resources for AWS IoT

We provide these training courses to help you learn about AWS IoT and how to apply them to your solution design.

AWS IoT resources and guides

These are in-depth technical resources on specific aspects of AWS IoT.

  • IoT Lens – AWS Well-Architected Framework

    A PDF document that describes the best practices for architecting your IoT applications on AWS.

  • Designing MQTT Topics for AWS IoT Core

    A PDF document that describes the best practices for designing MQTT topics in AWS IoT Core and leveraging AWS IoT Core features with MQTT.

  • AWS IoT Resources

    IoT-specific resources, such as Technical Guides, Reference Architectures, eBooks, and curated blog posts, presented in a searchable index.

  • IoT Atlas

    Overviews on how to solve common IoT design problems. The IoT Atlas provides in-depth looks into the design challenges that you are likely to encounter while developing your IoT solution.

  • AWS Whitepapers & Guides

    Our current collection of whitepapers and guides on AWS IoT and other AWS technologies.

AWS IoT in social media

These social media channels provide information about AWS IoT and AWS-related topics.

These social media accounts cover all AWS services, including AWS IoT

AWS services used by the AWS IoT Core rules engine

The AWS IoT Core rules engine can connect to these AWS services.

  • Amazon DynamoDB

    Amazon DynamoDB is a scalable, NoSQL database service that provides fast and predictable database performance.

  • Amazon Kinesis

    Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications.

  • AWS Lambda

    AWS Lambda lets you run code without provisioning or managing servers. You can set up your code to automatically trigger from AWS IoT data and events or call it directly from a web or mobile app.

  • Amazon Simple Storage Service

    Amazon Simple Storage Service (Amazon S3) can store and retrieve any amount of data at any time, from anywhere on the web. AWS IoT rules can send data to Amazon S3 for storage.

  • Amazon Simple Notification Service

    Amazon Simple Notification Service (Amazon SNS) is a web service that enables applications, end-users, and devices to send and receive notifications from the cloud.

  • Amazon Simple Queue Service

    Amazon Simple Queue Service (Amazon SQS) is a message queuing service that decouples and scales microservices, distributed systems, and serverless applications.

  • Amazon Elasticsearch Service

    Amazon Elasticsearch Service (Amazon ES) is a managed service that makes it easy to deploy, operate, and scale Elasticsearch, a popular open-source search and analytics engine.

  • Amazon Machine Learning

    Amazon Machine Learning can create machine learning (ML) models by finding patterns in your IoT data. The service uses these models to process new data and generate predictions for your application.

  • Amazon CloudWatch

    Amazon CloudWatch provides a reliable, scalable, and flexible monitoring solution to help set up, manage, and scale your own monitoring systems and infrastructure.

Communication protocols used by AWS IoT

These topics provide more information about the communication protocols used by AWS IoT. For more information about the protocols used by AWS IoT and connecting devices and services to AWS IoT, see Connecting to AWS IoT Core.