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Monitoring and Analysis

This section covers real-time monitoring and analysis of your AI agent's performance using Azure AI Evaluation.

Real-time Monitoring

  • Performance tracking
  • Resource utilization
  • Error detection
  • Alert configuration
  • Response timing
  • Usage patterns

Analysis Tools

  • Performance dashboards
  • Metric visualization
  • Trend analysis
  • Anomaly detection
  • Resource optimization
  • Cost analysis

Interactive Workshop

To get hands-on experience with monitoring and analysis, we've prepared an interactive Jupyter notebook that will guide you through: - Setting up real-time monitoring - Configuring alerts and notifications - Analyzing performance trends - Creating dashboards - Implementing continuous improvement

Launch Monitoring Workshop

This notebook provides a practical implementation of monitoring and analysis tools. You'll work directly with the Azure AI Evaluation SDK to track and optimize your customer service agent's performance in real-time.

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