Production LLM Platform Operations

Exercise 1: Cost Optimization Implementation#

Implement a production-grade cost optimization system for your OpenAI application:

1. **Token Usage Analysis**: Create a system to analyze and optimize token usage
2. **Budget Management**: Implement budget controls and alerting
3. **Model Selection**: Build intelligent model selection based on cost and performance
4. **Cache Strategy**: Design an effective caching strategy to reduce API calls

Exercise 2: Performance Monitoring Dashboard#

Build a comprehensive performance monitoring system:

1. **Metrics Collection**: Implement real-time metrics collection
2. **Alert System**: Create intelligent alerting for performance issues
3. **Performance Analytics**: Build dashboards for performance insights
4. **Optimization Recommendations**: Generate actionable optimization recommendations

Exercise 3: Enterprise Deployment Pipeline#

Design and implement a production deployment pipeline:

1. **Multi-Environment Setup**: Configure development, staging, and production environments
2. **Deployment Strategies**: Implement blue-green and canary deployments
3. **Security Configuration**: Configure enterprise security measures
4. **Monitoring Integration**: Integrate comprehensive monitoring and alerting