kubemqctl VS RabbitMQ

Our message queue is probably redismq, rabbitmq or kubemq, for which we also easily find helm charts.

In terms of resource usage, KubeMQ outshines Kafka with its minimal footprint. The KubeMQ docker container takes up only 30MB of space. Such a small footprint contributes to a fault-tolerant setup and streamlined deployments. Unlike Kafka, adding KubeMQ to a small development Kubernetes environment in a local workstation is straightforward. But at the same time, KubeMQ is scalable enough to be deployed in a hybrid environment running on hundreds of on-premise and cloud-hosted nodes. At the core of this deployment ease is kubemqctl, the command line interface tool for KubeMQ, analogous to Kubernetes’ kubectl.

New-Item -ItemType Directory 'C:\Program Files\kubemqctl' Invoke-WebRequest https://github.com/kubemq-io/kubemqctl/releases/download/latest/kubemqctl.exe -OutFile 'C:\Program Files\kubemqctl\kubemqctl.exe' \$env:Path += ';C:\Program Files\kubemqctl'

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.