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AIP-C01 · Study Guide

← Domain 2: Implementation and Integration

2.5.6 · Lesson 25 of 25

Troubleshooting FM Applications

Production AI applications require observability.

Overview

Production AI applications require observability.

Three important tools/concepts in this outline:

CloudWatch
    +
X-Ray
    +
Amazon Q Developer

CloudWatch Logs Insights

Useful for analyzing logs.

Example:

Request
 ↓
Lambda
 ↓
Bedrock
 ↓
Error
 ↓
CloudWatch Logs
 ↓
Logs Insights

You can investigate patterns such as:

  • failures
  • latency
  • request behavior
  • application errors
  • model interaction logs

X-Ray

Use X-Ray to trace service interactions.

API Gateway
     ↓
Lambda
     ↓
Bedrock
     ↓
Other Service

X-Ray helps determine where the request spent time or failed.

Amazon Q Developer

Can assist with understanding and recognizing development/error patterns.

Conceptually:

Error / Logs
     ↓
Developer
     ↓
Q Developer
     ↓
Diagnosis / Suggested Fix

Key points

  • failures
  • latency
  • request behavior
  • application errors
  • model interaction logs
  • CloudWatch Logs Insights
  • X-Ray
  • Amazon Q Developer

Exam focus

Know when and how to apply Troubleshooting FM Applications in production GenAI implementations.

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