16 — Optimize Application Performance

16 — Optimize Application Performance

Module Introduction

• Introduction
• Pre-computation and latency optimization
• Retrieval systems index optimization
• Advanced query preprocessing and hybrid search techniques
• Parameter tuning
• API call profiling
• Key technologies and services

Pre-computation And Latency Optimization

• Introduction
• Pre-computation fundamentals
• Benefits of pre-computation
• Pre-computation implementation techniques
• Latency-optimized Amazon Bedrock models
• Performance benchmarking methodologies
• Latancy-cost tradeoff analysis
• Parallel requests and connection pooling
• Case studies and real-world examples

Retrieval Systems Index Optimization

• Introduction
• Indexing fundamentals for generative AI
• Index types and selection criteria
• AWS services for index optimization
• Query preprocessing strategies
• Hybrid search implementation
• Performance monitoring and optimization

Advanced Query Preprocessing And Hybrid Search Techniques

• Introduction
• Advanced query preprocessing fundamentals
• Query preprocessing methods
• Hybrid search algorithm implementation
• Custom scoring functions
• Integration with generative AI pipelines
• AWS AI/ML services integration
• Performance optimization and monitoring
• Case studies and real-world applications

Agent Performance Optimization

• Introduction
• Agent Performance Fundamentals
• Amazon Bedrock AgentCore
• Amazon Nova Act
• Framework-Agnostic Optimization
• Agent Performance Profiling
• Case Studies

Parameter Tuning

• Introduction
• Foundation model parameter fundamentals
• Amazon Bedrock model catalog expansion
• Key model parameters overview
• Amazon Nova model family parameter characteristics
• Model-specific parameter configurations
• Generation control selection strategies
• A/B testing for model performance evaluation
• A/B testing implementation
• Performance monitoring and optimization
• Case studies and best practices

Api Call Profiling

• Introduction
• API call profiling fundamentals
• Profiling tools and methodologies
• Prompt-completion pattern analysis
• Vector database query optimization
• Latency reduction techniques
• Agent workflow profiling
• Service communication patterns
• Performance monitoring and analysis
• Best practices and troubleshooting

Module Summary

• Recap and next steps
• Resources