Amazon has introduced AgentOps, a new operational framework designed to help organizations manage and scale agentic AI applications using Amazon Bedrock AgentCore. Agentic AI, which involves agents that reason, adapt, and make autonomous decisions, presents unique operational challenges such as unpredictable decision-making, unexpected cost increases, and difficulty in debugging non-deterministic failures. AgentOps addresses these challenges by offering a structured approach to deploying, managing, and continuously improving AI agents in production. The framework is organized around four pillars: governance and security, build and operations, evaluation, and observability. These pillars provide best practices and real-world insights from implementations across various stages of the DevOps lifecycle, including planning, development, testing, deployment, and maintenance. The reference architecture provided by Amazon integrates AWS services, people, and processes to support the operationalization of agentic AI applications. Developers can use Amazon Bedrock AgentCore with any open-source framework and large language model (LLM), enabling a smooth transition from local development to production without managing infrastructure. *Source: [awsml](https://aws.amazon.com/blogs/machine-learning/agentops-operationalize-agentic-ai-at-scale-with-amazon-bedrock-agentcore/)*