# Amazon

## Amazon

## Amazon AWS

> AWS IoT. Easily and securely connect devices to the cloud. Reliably scale to billions of devices and trillions of messages.
>
> AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.
>
> AWS IoT makes it easy to use AWS services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon Machine Learning, and Amazon DynamoDB to build IoT applications that gather, process, analyze and act on data generated by connected devices, without having to manage any infrastructure.

* [AWS IoT](https://aws.amazon.com/iot/)
* [AWS IoT Getting Started](https://aws.amazon.com/iot/getting-started/)
* [AWS IoT Intel](https://github.com/intel-iot-devkit/aws-iot-intel)
* [Is Amazon (AMZN) the "Internet of Things" King?](http://www.zacks.stfi.re/stock/news/223210/is-amazon-amzn-the-internet-of-things-king?sf=bbowgxp#aa)

## Amazon IoT Button

> The AWS IoT Button is a programmable button based on the Amazon Dash Button hardware. This simple Wi-Fi device is easy to configure and designed for developers to get started with AWS IoT, AWS Lambda, Amazon DynamoDB, Amazon SNS, and many other Amazon Web Services without writing device-specific code. [Homepage](https://aws.amazon.com/iot/button/)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://theiotlearninginitiative.gitbook.io/internetofthings101/internet-of-things/key-players/amazon.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
