This is a masterclass in over-engineering that replaces simple logic with a complex microservice labyrinth. It prioritizes architectural vanity over the practical reality of building a lean and effective AI product.
深掘り
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深掘り
How to Build Scalable AI Apps for Millions of Users | Kubernetes + Microservices + GenAI追加:
How do you build an AI application that can handle millions of users and manage contacts? Currently using Kubernetes.
Most devs can call APIs, but don't know how to design systems that manages contacts at large scale.
Here is the scalable AI microservice architecture. Use Spring Boot Java framework.
Separate microservices for chat and contact storage.
Keep APIs stateless.
Move contacts to external storage.
Finally, orchestrate everything with Kubernetes.
Come and scale for an interactive session at Silver Line. Happy coding.
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