Observing Agentic AI workloads using Amazon CloudWatch agent

Introduction As the adoption of agentic AI applications continues to grow, ensuring the reliability, performance, and overall observability of these systems becomes increasingly critical. Agentic AI applications, powered by large language models (LLM) and integrated with various data sources and APIs, can quickly become complex, making it challenging to gain visibility into their inner workings and overall health. Agentic AI frameworks, like Strands Agents , Amazon Bedrock Agents , LangChain and others, provide developers with the tools to build and run these sophisticated AI-powered applications.