Integration roundup: Monitoring your AI stack
Datadog | The Monitor blog

Integration roundup: Monitoring your AI stack


Summary

This article details how to use Datadog's LLM Observability tools to monitor and troubleshoot agents built on Amazon Bedrock. It explains how to track key metrics like token usage, latency, and error rates to understand agent performance and cost, enabling proactive identification and resolution of issues. Ultimately, integrating Datadog provides valuable insights for optimizing Bedrock-powered agents and ensuring a reliable user experience.
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