Nghiên cứu AI cho Xử lý ảnh
Lĩnh vực AI kết hợp xử lý ảnh (Computer Vision) và camera.
Lĩnh vực AI kết hợp xử lý ảnh (Computer Vision) và camera.
In this final epoch, students will enhance observability and maintainability of the microservices system. A simple CI/CD pipeline with GitHub Actions to run tests and auto-deploy Docker images
In this epoch, students will improve performance of the product-service by caching frequently requested data using Redis. This ensures faster response times for GET requests (e.g., product listings...
In this epoch, students will containerize each microservice using Docker and connect them using Docker Compose. This will simulate a real-world deployment environment, allowing services to communic...
The API Gateway acts as the single entry point for all client requests. It routes requests to appropriate microservices, handles authentication (JWT), and can perform tasks like CORS handling, requ...
This epoch ensures secure communication across your microservices using JWT (JSON Web Tokens). </br> Extract the JWT from incoming requests, </br> Create a shared verifyToken middleware, </br> Prot...
In this epoch, students will introduce asynchronous communication into the system using RabbitMQ. Instead of making direct HTTP requests to the Notification Service, the Order Service will publish ...
In this epoch, students will build a lightweight notification-service using HonoJS, a minimal and ultra-fast web framework for building modern web APIs. This service will act as a simple receiver o...
In this epoch, students will build the order-service, a self-contained microservice that handles customer orders in an e-commerce system. This service will communicate with the user-service and pro...
In this epoch, students will create the product-service, a standalone microservice responsible for managing the product catalog. It will support full CRUD operations (Create, Read, Update, Delete),...