Observability in agentic and AI applications: the essential roles of monitoring and evaluation

In the artificial intelligence (AI) landscape of today, organizations are increasingly adopting agentic- and large language model (LLM)-based applications to automate tasks, streamline processes and deliver personalized experiences. However, despite their immense potential, these applications introduce new challenges in governance, control and quality assurance: challenges that cannot be adequately addressed with legacy monitoring approaches. Observability moved from checking if the server is up...