Tree of Thought for Scaling Decisions

Use tree-of-thought reasoning to plan the scaling strategy for this ML system.

## Current Scale
{{current_scale}}

## Target Scale
{{target_scale}}

## Constraints
{{constraints}}

Explore scaling paths:

**Branch 1: Vertical Scaling**
├── Option: Larger instances
│   ├── Cost implications
│   ├── Latency impact
│   └── Scaling ceiling
└── Evaluation: [suitable/unsuitable]

**Branch 2: Horizontal Scaling**
├── Option: More replicas
│   ├── Load balancing needs
│   ├── Data consistency
│   └── Operational complexity
└── Evaluation: [suitable/unsuitable]

**Branch 3: Architectural Changes**
├── Option: Microservices split
│   ├── Development effort
│   ├── Operational overhead
│   └── Long-term benefits
└── Evaluation: [suitable/unsuitable]

**Branch 4: Hybrid Approach**
├── Combine strategies
└── Optimal combination

**Convergence**
Select and justify the recommended scaling path.