> For the complete documentation index, see [llms.txt](https://rhiot.gitbook.io/rhiotdocumentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://rhiot.gitbook.io/rhiotdocumentation/index-5/mqtt_cloudlet_quickstart.md).

# MQTT Cloudlet quickstart

The MQTT cloudlet quickstart can be used as a base for the fat-jar MQTT microservices.

## Creating and running the MQTT cloudlet project

In order to create the MQTT cloudlet project execute the following commands:

```
git clone git@github.com:rhiot/quickstarts.git
cp -r quickstarts/cloudlets/mqtt mqtt
cd mqtt
mvn install
```

To start the MQTT cloudlet execute the following command:

```
java -jar target/rhiot-cloudlets-mqtt-1.0.0-SNAPSHOT.jar
```

You can also build and run it as a Docker image (we love Docker and recommend this approach):

```
TARGET_IMAGE=yourUsername/rhiot-cloudlets-mqtt
mvn install docker:build docker:push -Ddocker.image.target=${TARGET_IMAGE}
docker run -it ${TARGET_IMAGE}
```

## MQTT broker

By default MQTT cloudlet quickstart starts embedded [ActiveMQ](http://activemq.apache.org) MQTT broker (on 1883 port). If you would like to connect your cloudlet application to the external ActiveMQ broker (instead of starting the embedded one), run the cloudlet with the `BROKER_URL` environment variable or system property, for example:

```
java -DBROKER_URL=tcp://amqbroker.example.com:61616 -jar target/rhiot-cloudlets-mqtt-1.0.0-SNAPSHOT.jar
```

...or...

```
docker run -e BROKER_URL=tcp://amqbroker.example.com:61616 -it yourUsername/rhiot-cloudlets-mqtt
```

## Sample chat application

The MQTT cloudlet quickstart is in fact a simple chat application. Clients can send the messages to the chat channel by subscribing to the broker and sending the messages to the `chat` MQTT topic. To send some messages to the chat you can use the standalone [MQTT.js](https://www.npmjs.com/package/mqtt) client:

```
mqtt pub -t 'chat' -h 'localhost' -m 'Hello, this is the IoT device!'
mqtt pub -t 'chat' -h 'localhost' -m 'I just wanted to say hello!'
mqtt pub -t 'chat' -h 'localhost' -m 'Hello, IoT device. Nice to meet you!'
```

The clients can subscribe to the chat updates by listening on the `chat-updates` MQTT topic - whenever the new message has been sent to the chat, the clients registered to the `chat-updates` will receive the updated chat history.

The quickstart also exposed the simple REST API that can be used to read the chat history using the HTTP `GET` request:

```
$ curl http://localhost:8181/chat
Hello, this is the IoT device!
I just wanted to say hello!
Hello, IoT device. Nice to meet you!
```

## Architectural overview

When MQTT cloudlet is started with the embedded ActiveMQ broker, the architecture of the example is the following:

![](https://github.com/rhiot/rhiotdocumentation/tree/8c31a9d7d4bee1680d83639cefa800bec2a1f8df/quickstarts/images/quickstarts_cloudlet_mqtt_embedded.png)

When you connect to the external ActiveMQ broker (using `BROKER_URL` option), the architecture of the example becomes more like the following diagram:

![](https://github.com/rhiot/rhiotdocumentation/tree/8c31a9d7d4bee1680d83639cefa800bec2a1f8df/quickstarts/images/quickstarts_cloudlet_mqtt_external.png)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://rhiot.gitbook.io/rhiotdocumentation/index-5/mqtt_cloudlet_quickstart.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
