Chapter 11 — Technical Implementation

1. 1Design a microservices-based architecture using containerization tools like Docker
2. 2Implement API gateways like NGINX or AWS API Gateway for secure and managed access
3. 3Configure load balancing and autoscaling for high traffic and demand
4. 4Build a robust frontend using modern frameworks like React or Angular
5. 5Test and deploy the application using CI/CD pipelines like Jenkins or GitLab CI/CD

Software engineers and developers on a team can benefit from this knowledge to build efficient and scalable AI systems

💡 Microservices-based architecture with containerization and API gateways enables scalability and security

💡 Design scalable frontend/API architecture for AI apps