AI agents have evolved beyond LLM chatbots; they possess the ability to plan, reason, and act autonomously. However, as their autonomy increases, understanding how they make decisions becomes more challenging. Traditional methods of observability—such as metrics, logs, and traces—capture outcomes but do not reveal the underlying reasoning. This session will explore how AI Agent Observability can shed light on the decision-making process by collecting and analyzing agent traces. We will discuss emerging standards like the Model Context Protocol (MCP), which provides structured and shareable...
Monalisha Singh
Lead Software Engineer
NetApp, Inc.
Monalisha Singh, a Lead Software Engineer at NetApp Inc., is at the forefront of delivering cutting-edge observability solutions for new hyperscaler products. Collaborating closely with various departments and partner organizations, she designs innovative solutions tailored for cloud-native products. With an expansive background that includes leading Generative AI efforts in her spare time and expertise in Kubernetes, Monalisha is also an experienced speaker and a Lean In mentor. She is committed to empowering women in the technology community through her mentorship and advocacy.