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Part XIII — Expert Mode: Systems, Agents, and Automation/42. Fine-Tuning vs Prompting vs Retrieval (Decision Framework)/42.5 Deployment and rollback strategy
42.5 Deployment and rollback strategy
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Deployment
// Gradual rollout
const modelRouter = {
route(request: Request) {
// Start with 5% traffic
if (random() < 0.05) {
return fineTunedModel;
}
return baseModel;
}
};
// Monitor both models
trackMetrics('base', baseModel);
trackMetrics('fine-tuned', fineTunedModel);
// If fine-tuned performs better, increase traffic
Rollback
// Instant rollback capability
const ACTIVE_MODEL = process.env.ACTIVE_MODEL || 'base';
// If issues detected, change env var and restart
// No redeployment needed
// Always keep base model available
// Never delete working model versions