Pact JVM VS RabbitMQ

API Contract Testing might be worth exploring. Gives you the ability to run it quickly locally or in CI/CD. A centralized way to validate if your changes broke another service might also be interesting. That series of videos from the same team is gold: https://docs.pact.io

We use Pact for contract testing https://docs.pact.io/

The introduction here is quite good: https://docs.pact.io/

Pact.Net documentation: https://docs.pact.io/ Mountebank documentation: http://www.mbtest.org/ The Microsoft.AspNetCore.TestHost package on GitHub: https://github.com/aspnet/AspNetCore/tree/main/src/Testing/Microsoft.AspNetCore.TestHost

There's also https://docs.pact.io/ but I haven't had time yet to really look into it but probably someone else can tell something about it.

This PoC shows a step by step implementation of contract testing using Pact.

Contract tests assert that inter-application messages conform to a shared understanding documented in a contract. Without contract testing, the only way to ensure that applications will work correctly together is by using expensive and brittle integration tests.

If you are updating your API based on user feedback, you can work with your team or stakeholders to build an API contract describing how your API should function. You can use JSON schemas to document your API’s endpoint response codes and set up the contract. The contract must be accepted by all parties. Then, any changes made to the API must pass the contract test before being approved. Contract testing can be automated and incorporated into your CI/CD pipeline. Contract testing tools include Pact and Spring Cloud Contract.

Pact.

I have contract tests (https://docs.pact.io/) to ensure the integration works.

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.