AINewsnow

Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

Multi-agent systems fail in ways traditional monitoring misses. This post presents a dual-layer approach to monitoring production agents: Amazon Bedrock AgentCore Evaluations for continuous quality scoring and AWS DevOps Agent for autonomous infrastructure investigation, shown on a four-agent airli…

Read the full story at AWS Machine Learning Blog ↗

Timeline · 1 report

  1. 2026-09-11 18:26 · AWS Machine Learning Blog
    Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  3. The new AgentCore runtime: Elastic, optimized, and consistently fast starts — AWS Machine Learning Blog
  4. Amazon SageMaker Inference: 2026 year-to-date launches in review — AWS Machine Learning Blog
  5. Migrating multi-model AI agents to Amazon Bedrock AgentCore runtime — AWS Machine Learning Blog
  6. Deploy Hugging Face models on Amazon SageMaker AI with coding agents — AWS Machine Learning Blog
  7. I'm a Principal Applied Scientist at AWS who builds AI services like Amazon Bedrock and Lex. AMA! [D] — r/MachineLearning
  8. Looking for 2-3 teammates for Amazon ML Challenge 2026 (registration closes 20 Sept, cross-college OK) — r/learnmachinelearning

Get the daily brief of stories like this at 6:30 every morning →