Production ready demo api

Overview: Math API is a scalable and reliable RESTful web service that provides basic mathematical operations. This project showcases the use of modern web development technologies to build a performant and user-friendly API that adheres to the Twelve-Factor App principles. It also demonstrates how to integrate a microservice with aiokafka to facilitate asynchronous communication between different microservices. Key Features: - Supports four basic mathematical operations: addition, subtraction, multiplication, and division. - Integrates with aiokafka for asynchronous communication and real-time messaging between microservices. - Sends a message on a queue each time it receives a request for any of the endpoints, allowing other microservices to consume the message and respond as needed. - Validates input values and returns appropriate error messages if the input is invalid. - Generates unique IDs for each request to facilitate tracing and debugging. - Integrates with the ELK Stack for centralized logging and monitoring. - Includes Sentry for error tracking and reporting. - Provides detailed documentation for API endpoints and response formats. - Implements authentication and authorization using JSON Web Tokens (JWTs). Technologies Used: - FastAPI for building the web service and handling HTTP requests. - aiokafka for asynchronous communication and real-time messaging. - Docker for containerizing the application and enabling easy deployment. - uvicorn as a high-performance ASGI server for running FastAPI. - ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging and monitoring. - Sentry for error tracking and reporting. - JSON Web Tokens (JWTs) for authentication and authorization. Challenges Faced: - Designing a scalable and flexible API that can handle a large number of concurrent requests. - Ensuring input validation and error handling are robust to prevent unexpected results or security issues. - Integrating aiokafka for asynchronous communication and real-time messaging between microservices. - Developing a secure authentication and authorization system to protect sensitive data and resources. - Adhering to the Twelve-Factor App principles to ensure the application is portable, scalable, and resilient. Results and Impact: - The Math API has been successfully implemented and tested, demonstrating the effectiveness of the chosen technologies and development methodologies. - The API can be easily scaled to handle increased traffic and is resilient to errors and unexpected input. - The integration with aiokafka has facilitated real-time messaging and asynchronous communication between different microservices, improving the overall performance and scalability of the system. - The centralized logging and monitoring provided by the ELK Stack and Sentry have improved the overall reliability and maintenance of the API. - The secure authentication and authorization system using JSON Web Tokens has enhanced the security of the API and protected sensitive data and resources. - The adherence to the Twelve-Factor App principles has made the application portable, scalable, and easy to deploy across different environments.