RabbitMQ VS mosquitto

Although they did not make it into production, I experimented with the RabbitMQ message broker, Python (Django, Flask), Kubernetes + minikube, JWT, and NGINX. This was a hobby project, but I intended to learn about microservices along the way.

Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)

Later, we discovered Propan, a library created by Nikita Pastukhov, which solved similar problems but for RabbitMQ. Recognizing the potential for collaboration, we joined forces with Nikita to build a unified library that could work seamlessly with both Kafka and RabbitMQ. And that's how FastStream came to be—a solution born out of the need for simplicity and efficiency in microservices development.

Inter-Service Communication: Middleware provides communication channels and protocols that enable microservices to communicate with each other. This can include message brokers like RabbitMQ, Apache Kafka, RPC frameworks like gRPC, or RESTful APIs.

This is an implementation of pub/sub. The publisher is on a separate project. The message broker is Azure Service Bus. We use NServiceBus for code implementation. I use rabbitMQ broker for local tests. Nothing I can do about the tech stack. This is more of a high level single project structure review 😅

RabbitMQ is a robust and highly configurable open-source message broker that implements the Advanced Message Queuing Protocol (AMQP).

When using third-party services, especially within a "transaction", it's often a good idea to use a persistent Message Queue (MQ) system like RabbitMQ. Go through all their tutorials to get a really good understanding of how message queues work and how they can be used to solve your problem.

The best technical solution to provide the event queues is to use a message-broker technology like RabbitMQ.

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.