Optimizing production agents with Amazon Bedrock AgentCore Observability
Not a pilot: how to keep production agents fast. Amazon ships observability tools for long-running agent workflows.
Why it matters
As agents move from prototype to production, observability and performance tuning become critical. Amazon's new AgentCore Observability tooling addresses a real pain point for practitioners deploying agents at scale — diagnosing bottlenecks and memory issues in live systems.
The key facts
8 to knowAmazon Bedrock AgentCore Observability feature launch
CloudWatch integration for agent monitoring
Targets long-running agent session diagnostics
Focus: performance bottlenecks and memory profiling
Positioning: prototype-to-production transition
Amazon Bedrock AgentCore Observability feature (newly documented)
Focus: performance bottlenecks and memory diagnostics in long-running sessions
Framing: prototype-to-production agent operations
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: As your AI agents move from prototype to production, the challenge shifts from getting them to work to keeping them fast and efficient. Learn how to use Amazon Bedrock AgentCore Observability and Amazon CloudWatch to find performance bottlenecks and diagnose memory issues in long-running agent…