Launching Amazon CloudWatch generative AI observability (Preview)

As organizations rapidly deploy large language models (LLMs) and generative AI agents to power increasingly intelligent workloads, they struggle to monitor and troubleshoot the complex interactions within their AI applications. Traditional monitoring tools fall short in providing the visibility across components, leading to developers and AI/ML engineers to manually correlate interaction logs or building custom instrumentation. Engineers face a difficult trade-off between comprehensive monitoring and operational efficiency, as custom solutions prove complex to maintain and scale, while existing tools lack the specialized AI monitoring capabilities.