17 — Implement Monitoring Systems

17 — Implement Monitoring Systems

Module Introduction

• Introduction
• Creating actionable custom dashboards
• Amazon CloudWatch for generative AI monitoring
• Establishing baselines and anomaly detection
• Performance monitoring for vector databases
• Automated index optimization and data quality validation
• Key technologies and services

Creating Actionable Custom Dashboards

• Introduction
• Case study - E-commerce recommendation dashboard
• Dashboard design principles for generative AI applications
• Integrating diverse metrics into unified views
• Visualization strategies for actionable insights
• Amazon CloudWatch dashboard JSON configurations
• Amazon CloudWatch integration for generative AI monitoring
• Dashboard implementation best practices

Amazon Cloudwatch For Generative Ai Monitoring

• Introduction
• CloudWatch fundamentals for generative AI
• Token usage and cost monitoring
• Prompt effectiveness monitoring
• Response quality and hallucination monitoring
• Agent quality monitoring with Amazon Bedrock AgentCore
• Amazon Bedrock model invocation logs
• Log analysis and insights
• Best practices for CloudWatch implementation

Establishing Baselines And Anomaly Detection

• Introduction
• Understanding baseline requirements for generative AI
• Collecting usage baselines for anomaly detection
• Call pattern tracking and analysis
• CloudWatch anomaly detection best practices
• Third-Party monitoring integration
• Performance framework implementation
• Best practices for baseline management

Performance Monitoring For Vector Databases

• Introduction
• Case study - E-commerce search optimization
• Vector database performance fundamentals
• Key performance indicators for vector databases
• Product-specific monitoring approaches
• Performance monitoring implementation
• Automated monitoring and alerting strategies
• Best practices for vector database monitoring

Automated Index Optimization And Data Quality Validation

• Introduction
• Index optimization fundamentals
• Automated index optimization techniques
• Automated index optimization techniques
• Data quality validation with practical thresholds
• Automated optimization workflows
• Best practices for automated optimization

Module Summary

• Recap and next steps
• Resources