AgentOps: Operationalize agentic AI at scale with Amazon Bedrock AgentCore
AgentOps: Operationalize agentic AI at scale with Amazon Bedrock AgentCore
Publish Date: 2026-06-01 12:12:00
Source Domain: aws.amazon.com
- Agentic AI applications require specialized operational discipline, called AgentOps, due to unpredictable decision-making and unexpected costs.
- AgentOps consists of four pillars: governance & security, build & operations, evaluation, and observability and monitoring.
- Best practices focus on multi-account architecture, deterministic controls, tool management, agent versioning and CI/CD, multi-level agent evaluation, and full instrumentation across telemetry layers.
- Amazon Bedrock AgentCore provides services to implement the AgentOps pillars, enabling secure deployment of agents at scale without managing infrastructure.
- The AgentOps lifecycle includes planning, developing, building, testing, deploying and maintaining agents with continuous operational attention required at each stage.
- Visibility and monitoring of the entire agent lifecycle and interactions are essential to identify issues and drive continuous improvement. Observational data informs new evaluation rounds and operational decisions.
- Building production-grade agentic AI requires applying practices around governance, CI/CD for agents, evaluation gates, and observability to handle unpredictable agent behaviors and improve the process over time.
