mosquitto VS spec

mosquitto_transport, an experiment of writing SObjectizer-based wrapper around mosquitto library;

References: Felipe Flop’s website https://www.filipeflop.com/blog/controle-monitoramento-iot-nodemcu-e-mqtt/ accessed on 01/27/2018. Eclipse server for MQTT Broker https://iot.eclipse.org/ accessed on 01/27/2018. Mosquitto https://mosquitto.org/ accessed on 01/27/2018. Cloud MQTT https://www.cloudmqtt.com/ accessed on 01/27/2018. DuckDNS https://www.duckdns.org/ accessed on 01/27/2018. Proftpd http://www.proftpd.org/ accessed on 01/27/2018. Filezilla https://filezilla-project.org/ accessed on 01/27/2018. Fritzing https://fritzing.org/ accessed on 05/25/2022. Appendices:

This is a perfect use case for MQTT, e.g. this library for ESP boards. Create a broker on the network (e.g. a Raspberry Pi running Mosquitto, and have all the ESP boards subscribe to a topic. When you want to play a sound, publish a message to the topic, and all of the ESPs should see it very quickly. You don't need to synchronize clocks any more because it's simply based on the timing of publishing a message.

While working on a personal project Komponist, I was due to update Mosquitto MQTT Broker due to a CVE and found some interesting changes that will impact me in the future when it comes to configuring the Broker. This post provides a solution to make the Broker compatible with future versions using new and less visited concepts in Docker Compose v2, namely:

Optional: Mosquitto, an open-source message broker that implements the MQTT protocol; this tutorial uses the public test server

I think he means implementation of MQTT protocol, like https://mosquitto.org/

Could MQTT work for you? You'd need a broker like Mosquitto, and then any of a number of MQTT clients.

AsyncAPI: Interested in how to define your WebSocket APIs? One of the most advanced realtime specifications is the AsyncAPI specification, which comes with various generators for code and documentation, as well as renderers for the specifications.

Our journey with FastStream started when we needed to integrate our machine learning models into a customer's Apache Kafka environment. To streamline this process, we created FastKafka using AIOKafka, AsyncAPI, and asyncio. It was our first step in making message queue management easier.

Automatic Docs: Stay ahead with automatic AsyncAPI documentation

FastStream supports in-memory testing, AsyncAPI schema generation and more... If you are interested, please support our project by giving a GH start and joining our discord server.

However, in order for the system to work effectively, there must be a common understanding between the components regarding events and their data structures. This is where AsyncAPI comes in; it helps define a contract that describes how the components communicate and behave effectively.

You can also take a look at https://www.asyncapi.com/ (a spec for asynchronous APIs). It's useful for this use case, that is, building a well structured websocket interface with pub/sub.

Sure! Next step I am working on AsyncAPI scheme generation by your application code. It's also includes a project generation from scheme, scheme web view (lika the Swagger for OpanAPI), etc. It will a much difficult than just another broker implementation...

Onboarding - Enable developers to quickly learn how to consume the exposed APIs. For example, offer OpenAPI or AsyncAPI documentation and provide a portal and sandbox.