Brief Overview of Architecture

The architecture employs microservices with a Web Sever(Gateway microservice), RabbitMQ message queue, and Consumer Workers.
The Web Server handles user messages, publishing jobs to the queue.
Workers asynchronously process tasks, scaling independently based on queue size.
Docker ensures consistent deployment, and Kubernetes orchestrates scalability.
MongoDB offers flexible data storage, while Python and Flask facilitate microservice implementation.
RabbitMQ enables efficient asynchronous communication, contributing to high throughput.

Tools & Technologies Used

Python (Flask): Python is a versatile programming language, and Flask is a lightweight web framework for building web applications in Python.
RabbitMQ: RabbitMQ is a message broker that facilitates communication between different systems by enabling asynchronous messaging.
Kubernetes: Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
Docker: Docker is a platform for developing, shipping, and running applications in containers, providing a consistent environment across different environments.
Git: Git is a distributed version control system used for tracking changes in source code during software development.
Prometheus (proposed): Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalability in containerized environments.