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  For a banking chatbot application designed to serve 10 million users, the architecture must ensure scalability, reliability, and security. Here's a potential architecture: 1. Front-End Layer: - User Interface: Web and mobile applications (React.js for web, React Native for mobile) connected with CDN. - API Gateway:  Manages all the API requests from the client-side. 2. Back-End Layer: - Chatbot Engine:   - Natural Language Processing (NLP): Utilizes services like Google Dialogflow, Microsoft Bot Framework, or custom NLP models deployed on cloud platforms.   - Chatbot Logic: Python/Node.js microservices to handle user queries, integrated with NLP. - Business Logic Layer:   - Microservices Architecture: Separate microservices for different functionalities like user authentication, transaction processing, account management, etc. (Node.js/Spring Boot).   - API Management:  Tools like Kong or AWS API Gateway. 3. Database Layer: - User Data: Relation...

  I'd be glad to explain microservice application rollback for e-commerce, incorporating best practices and addressing potential challenges: Understanding Rollback Requirements in E-commerce Transactional Consistency: When a failure occurs during an update spanning multiple microservices (e.g., order placement involving product inventory, user account, and payment), consistent rollback across all affected services is crucial. Partial Success Scenarios: If some microservices succeed but others fail (e.g., payment goes through but inventory update fails), a mechanism to undo completed operations and handle partial rollbacks is essential. Data Integrity: Rollback strategies should maintain data integrity by preventing data inconsistencies or data loss. Rollback Techniques for E-commerce Microservices Compensating Transactions:  Each microservice implements a compensating transaction that reverses its actions if the overall transaction fails. Example (Order Placement):...