AIOps and Observability serve different but complementary roles in modern IT operations. Observability focuses on collecting and analyzing data like metrics, logs, and traces to help teams understand what is happening inside their systems. AIOps builds on this by using AI and machine learning to automatically analyze that data, detect patterns, predict issues, and even trigger automated responses. In simple terms, observability helps teams see and understand problems, while AIOps helps them act faster and more intelligently. Together, they improve system performance, reduce downtime, and make it easier to manage complex, cloud-native environments.