Tag: observability

AI agents, with their autonomous decision-making capabilities, present unique monitoring challenges. This article delves into why observability is indispensable for understanding, controlling, and ensuring the reliability and compliance of these advanced systems, particularly within the context of IBM

This article explores how to leverage OpenTelemetry and SigNoz for comprehensive monitoring of Claude Code, Anthropic's AI coding assistant. It details the process of instrumenting Claude Code to collect traces, metrics, and logs, enabling real-time insights into performance, bottlenecks, and costs. By implementing this observability stack, development teams can achieve better visibility, streamline debugging, and optimize AI workflows for more resilient and efficient AI adoption.