Develop a clear and intuitive boilerplate that provides a foundation for building scalable and reliable applications using microservices architecture, ensuring it is accessible and practical for widespread use.
This template contains three main directories: api, service1, and service2. The api directory handles incoming client (frontend) requests and distributes them to the appropriate services using RabbitMQ as the message broker. The services always consume incoming messages and process them.
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Scalability Needs: When your application must handle significant and fluctuating loads, microservices allow individual components to scale independently.
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Complexity Management: For large and complex applications, microservices break down the system into manageable, independent services, simplifying development and maintenance.
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Fault Isolation and Resilience: Microservices enhance fault tolerance by isolating failures to individual services, ensuring that issues in one part of the system do not bring down the entire application.
Use microservices architecture when these factors align with your project's requirements, but be aware of the trade-offs, such as increased complexity in deployment, monitoring, and inter-service communication.
It is assumed that all your services will be placed in separate Git repositories. Ensure that all components have access to the necessary environment variables, which can be managed using Docker and Kubernetes. This template uses RabbitMQ as the message broker, so you need to know how RabbitMQ works (different types of exchanging, exchangers, queues, routing keys), but you can also consider alternatives like Apache Kafka or even the HTTP protocol.
To better understand microservice architecture, launch each Docker container in separate terminal windows and explore their interactions:
docker-compose -f docker-compose.message-broker.yml up
docker-compose -f docker-compose.api.yml up
docker-compose -f docker-compose.services.yml up
Next, go to localhost:8000/docs and send requests to any of the routes. Observe the logs generated by the service containers to see how they handle the requests.