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Just music 🎶

🔥Thị trường lên xuống gì thì vẫn giữ sức khoẻ ae nhé! Mục đích chúng ta đến đây là vì tiền, nhưng tiền cũng là phương tiện để đáp ứng các nhu cầu khác. Và đặc biệt, sức khoẻ quan trọng nhất vì đôi khi tiền sẽ không mua được nó.

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Câu này hay quá nên cho quỳ gối úp măt vào tường nè, quá đã luôn 😎🤪

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https://vnexpress.net/ceo-bybit-pi-network-nguy-hiem-hon-meme-coin-4858345.html

### Key Components in Microservices Here’s how the pieces fit together in a microservices architecture: **Service Discovery**: In our simple example, OrderService hardcodes the ProductService URL (https://localhost:5186). In a real system, you’d use a service discovery tool (e.g., Consul, Eureka) or an API Gateway to dynamically find service locations. **Communication**: We’re using HTTP/REST via HttpClient. Alternatives include: **gRPC**: Faster, binary-based communication. **Message Queues**: Asynchronous communication (e.g., RabbitMQ for order processing). **Data Management**: Each service has its own data. In our case, ProductService uses an in-memory list, but in production, it’d have its own database (e.g., SQL Server for products, MongoDB for orders). **Deployment**: Without Docker, we run each service manually with dotnet run. In production, you’d deploy them as separate processes (e.g., via Docker, Kubernetes, or Azure App Services). **Resilience**: If ProductService is down, OrderService returns a BadRequest. In a robust system, you’d add retry logic (e.g., with Polly) or caching to handle failures.

### Key Components in Microservices Here’s how the pieces fit together in a microservices architecture: **Service Discovery**: In our simple example, OrderService hardcodes the ProductService URL (https://localhost:5186). In a real system, you’d use a service discovery tool (e.g., Consul, Eureka) or an API Gateway to dynamically find service locations. **Communication**: We’re using HTTP/REST via HttpClient. Alternatives include: **gRPC**: Faster, binary-based communication. **Message Queues**: Asynchronous communication (e.g., RabbitMQ for order processing). **Data Management**: Each service has its own data. In our case, ProductService uses an in-memory list, but in production, it’d have its own database (e.g., SQL Server for products, MongoDB for orders). **Deployment**: Without Docker, we run each service manually with dotnet run. In production, you’d deploy them as separate processes (e.g., via Docker, Kubernetes, or Azure App Services). **Resilience**: If ProductService is down, OrderService returns a BadRequest. In a robust system, you’d add retry logic (e.g., with Polly) or caching to handle failures.

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Cá thiếu muối, cá ươn và thiu Anh vắng em, thiếu yêu và thương 😜 🥰

Cơm nước gì chưa mấy người đẹp 😜🌷🥰😋😘

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Sao tiền không đi làm kiếm mình mà mình lại đi làm kiếm tiền vậy =))😆😂