MQTT-Explorer VS RabbitMQ

Quote from MQTT Explorer

Sounds like you're on a good path tracking the problem to aws, not the esp. First of all, I'd try to make it work with a "proven" solution, then move on to your own implementation. I have had good success using http://mqtt-explorer.com/ on windows to diagnose a similar situation. Mqtt explorer gives you very granular control over endpoints and topics, so might be helpful to you too.

I would suggest using Mqtt explorer (http://mqtt-explorer.com/) to see how often the sensor updates its values. This as a first step to narrow down the problem.

Here are a few alternatives: http://mqtt-explorer.com/ https://mqttx.app/

Use MQTT Explorer to view and generate messages: http://mqtt-explorer.com/

For MQTT debugging, I like MQTT explorer

You can write test programs to send very specific messages to simulate errors, or simulate entire components that aren't written yet. There are also free programs like MQTT Explorer that will let you browse the message traffic, generate messages manually, log whatever you cant, and even graph your values if you happen to send numerical values (that is really cool when you do some long-term testing).

To use a local server can let you control all details of your full messaging chain. Try other clients can make you away from the ill behaviors or bugs of specific client. I recently demonstrate how easy a free MQTT client (MQTT explorer) send to a free MQTT database on Windows 10 in my video.

A useful tool is MQTT Explorer. You can connect to your broker and see what changes when you use the light through an app or switch or whatever. This should help you understand the manner in which the light talks with mqtt. Once you think you have understood it, you can use explorer to publish test messages to see if it works as desired.

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.