Microservices Architecture for AI

Imagine your AI SaaS as a giant, single block of code. This is called a monolithic architecture. All features, from user login to AI model inference, are tightly bundled together.

While simple to start, monoliths can become hard to manage, update, and scale as your AI SaaS grows. One small change might require redeploying the entire application.

Microservices architecture breaks down your AI SaaS into many small, independent services. Each service focuses on a single business capability, like user management, AI model predictions, or data processing.

• Each service runs in its own process.
• They communicate with each other over networks, typically using APIs.
• They can be developed, deployed, and scaled independently.