Deployment Strategies

Introduction

Deploying Spring AI applications requires consideration of AI service dependencies and performance requirements.

Definition

Deployment strategies for AI applications involve managing AI service connections, configuration, and scalability.

Types

Container Deployment

Deploying AI applications in containers

Cloud Deployment

Deploying to cloud platforms

Serverless Deployment

Using serverless platforms for AI apps

Hybrid Deployment

Combining on-premises and cloud AI services

Use Cases

• Production AI application deployment
• Scalable AI service management
• Cost-effective AI deployments
• High-availability AI systems
• Compliance and security

Implementation

Spring AI applications can be deployed using standard Spring Boot deployment patterns.

Key Points

• Configuration management
• Service discovery
• Load balancing
• Monitoring and observability

References

• Spring AI Deployment — Deploying Spring AI applications