Security, Monitoring, Testing, and Cost Optimization

Security Considerations

Data Privacy

• Upload only conversations that are allowed to be processed.
• Do not use confidential company, customer, or personal conversations for demo.
• Keep all S3 buckets private.
• Use pre-signed URLs for upload instead of public write access.
• Apply lifecycle deletion for demo data.

IAM Least Privilege

Use scoped permissions:

• Lambda can read/write only the project S3 bucket.
• Lambda can update only the CognitiveCoachJobs table.
• Lambda can invoke only the required Bedrock model.
• Step Functions can invoke only the workflow Lambda functions.
• Transcribe can write only to the selected S3 output prefix.

AI Safety Boundary

The system should clearly state that AI output is coaching feedback, not guaranteed truth. The user must review suggestions critically.

Monitoring and Logging

Use CloudWatch to monitor:

• Lambda invocation errors.
• Lambda duration and timeout.
• Step Functions failed executions.
• Bedrock invocation errors.
• Transcribe job failures.

Recommended screenshots:

• CloudWatch log group for the analysis Lambda.
• Step Functions execution history.
• DynamoDB item before and after completion.

Testing and Validation

Cost Optimization

• Use short audio files for testing.
• Prefer transcript input during repeated development.
• Keep prompts concise to reduce Bedrock token usage.
• Use DynamoDB on-demand for low traffic.
• Delete S3 objects after demo.
• Remove unused Lambda versions, APIs, state machines, log groups, and tables.

Scalability Awareness

This architecture can scale better than a single server because:

• S3 handles object storage independently.
• Lambda scales per request.
• Step Functions tracks each job execution.
• DynamoDB supports high request volume with proper key design.

However, this bootcamp version does not include full production features such as multi-user quotas, advanced authentication, PII detection, or model evaluation pipelines.