AWS demonstrates how AI agents in production can be optimised with Bedrock AgentCore
Amazon Web Services details how the Bedrock AgentCore Observability and CloudWatch tools can be used to troubleshoot and optimise AI agents in production environments.
What happened?
Amazon Web Services has published technical guidance on how developers can monitor and optimise autonomous AI agents in production environments. The Amazon Bedrock AgentCore Observability service integrates with Amazon CloudWatch to provide detailed tracing of agent calls, tool usage, and memory management. The objective is to identify latency bottlenecks and diagnose performance issues in long-running sessions.
Key facts
| Huvudtjänst | Amazon Bedrock AgentCore Observability |
|---|---|
| Övervakningsplattform | Amazon CloudWatch |
| Standard för telemetri | OpenTelemetry |
Why it matters
As AI agents move from prototype to production, requirements for reliability, low latency, and cost control increase. By tracking exactly which tools and models an agent invokes during a session, developers can isolate where delays occur. This enables the correction of inefficient memory chains and the reduction of unnecessary API calls.
Who is affected?
The guidance is aimed at software developers, system architects, and DevOps engineers building and operating agent-based AI applications on AWS. Companies deploying large-scale AI agents in their operations benefit from improved capabilities to troubleshoot and optimise their systems.
Impact on the EU
The tools within Amazon Bedrock and CloudWatch are available in the AWS regions where Bedrock services are provided within the EU, including the Stockholm region (eu-north-1). The services comply with applicable EU regulations regarding data localisation and GDPR.
What else you should know
Telemetry data and tracing functions are integrated into the OpenTelemetry standard, allowing for the export of metrics to external monitoring platforms. Logging and tracing settings are configured directly within the Bedrock agent framework or via the CloudWatch console.
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