Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA
Datadog | The Monitor blog

Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA


Summary

NTT DATA tackled the challenge of deploying dependable agentic AI systems in production by combining Amazon Bedrock AgentCore and Datadog LLM Observability. They found that while building a proof-of-concept is relatively easy, ensuring security, visibility, and consistent behavior requires a standardized execution platform like AgentCore. Crucially, they needed observability beyond traditional metrics – Datadog’s LLM Observability allowed them to track the reasoning behind agent decisions and integrate evaluation criteria directly into their operational workflows for continuous improvement.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
DASH 2026: Guide to Datadog’s newest announcements
DASH 2026: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 206 views

2
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 178 views

3
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
4
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 108 views