Amazon Bedrock AgentCore launches AgentOps for scaling agentic AI

Amazon Bedrock AgentCore now supports AgentOps, a new operational framework to tackle the unique challenges of deploying agentic AI: unpredictable costs, non‑deterministic failures, and autonomous decision‑making. The framework is built on four pillars. Governance & Security uses multi‑account strategies, deterministic controls, and human‑in‑the‑loop verification to keep agents within authorized boundaries. Build & Operations treats every agent, tool, and memory configuration as a versioned, deployable artifact with its own CI/CD pipeline. Evaluation spans four levels—tool, conversation turn, session outcome, and system—both in development and production. Observability instruments four telemetry layers to trace every decision, monitor quality drops, and track cost per interaction.

AgentCore works with any open‑source framework and any LLM, letting teams transition from local development to production without managing infrastructure. The AgentOps lifecycle maps to standard DevOps stages: Plan (assess AI fit, security, ethics), Develop (experiment with models, guardrails, RAG), Build (unit/integration tests, RBAC validation), Test & Release (end‑to‑end evaluation, HITL tests), Deploy (MCP servers, canary deployments), and Maintain (drift alerts, anomaly detection, cost tracking). The reference architecture is adaptable—your organization’s requirements determine the final shape, but the principles apply broadly to any agentic AI workload.