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Production LLM Platform Operations

Run large language model platforms in production with quota governance, latency tuning, and observability.

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🎯 Assessment Criteria

In this section

Technical Implementation (40%)#

  • Code Quality: Clean, maintainable, and well-documented code
  • Architecture: Scalable and production-ready system design
  • Error Handling: Comprehensive error handling and recovery
  • Performance: Optimized for production workloads

Production Readiness (30%)#

  • Monitoring: Comprehensive metrics and alerting
  • Security: Enterprise-grade security implementation
  • Scalability: System can handle production scale
  • Reliability: High availability and fault tolerance

Cost Optimization (20%)#

  • Token Efficiency: Effective token usage optimization
  • Budget Management: Proper cost controls and monitoring
  • Resource Utilization: Efficient use of computational resources
  • ROI Analysis: Clear cost-benefit analysis

Documentation & Testing (10%)#

  • Documentation: Comprehensive system documentation
  • Testing: Thorough testing coverage including integration tests
  • Deployment Guide: Clear deployment and maintenance procedures
  • Troubleshooting: Detailed troubleshooting guides
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