AgentsThe story, in brief

Monitor on-premises and multi-cloud AI agents with AgentCore Observability

AgentCore Observability now works anywhere: on-prem, multi-cloud, local dev machines. One dashboard for agents you don't fully control.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Agent observability is moving beyond AWS-native deployments. As agents spread across hybrid and multi-cloud environments, unified monitoring becomes operational necessity — this is infrastructure for the agent era.

The key facts

10 to know
  1. Amazon Bedrock AgentCore Observability now supports on-premises agents

  2. Supports multi-cloud: AWS, GCP, Azure, and developer machines

  3. Uses AWS Distro for OpenTelemetry (ADOT) for trace routing

  4. Integrates session traces, span metrics, and token usage into single dashboard

  5. IAM credentials authentication model for cross-environment access

  6. AgentCore Observability now supports on-premises and multi-cloud agent monitoring

  7. Uses AWS Distro for OpenTelemetry (ADOT) and IAM credentials for credential routing

  8. Centralizes session traces, span metrics, and token usage in single dashboard

  9. Supports GCP, Azure, on-premises, and developer machines—not AWS-only

  10. Published August 2026 (very recent feature announcement)

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: Set up Amazon Bedrock AgentCore Observability for AI agents running outside AWS: on-premises, on GCP, on Azure, or on developer machines. This walkthrough uses the AWS Distro for OpenTelemetry (ADOT) and IAM credentials to route session traces, span metrics, and token usage to the same AgentCore…
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