Improve Amazon Bedrock Observability with Amazon CloudWatch AppSignals

This article discusses how to improve the observability of generative AI applications built using Amazon Bedrock by leveraging Amazon CloudWatch Application Signals.

Specifically, the article covers:

• The benefits of using CloudWatch Application Signals with Bedrock, including visibility into prompt metrics, output quality, and performance analysis of different LLMs
• How Application Signals automatically instruments Bedrock applications and provides visibility into the service map, dependency details, traces, and logs
• How to compare the performance of different LLMs (e.g., Amazon Titan vs. Anthropic Claude) using Application Signals metrics
• Conclusion: Application Signals enhances observability for Bedrock applications, enabling optimal LLM selection, prompt engineering, cost management, and quality user experiences