Artificial intelligence (AI) monitoring is an essential practice for organizations that use AI systems, as it involves the continuous observation and analysis of AI operations to maintain their health and efficiency. The complexity of managing AI systems has grown as they become more integrated into professional environments, necessitating specialized monitoring beyond traditional application tracking. Key aspects of AI monitoring include tracking model performance, resource consumption, API usage, request volume, and cost tracking. These activities help ensure AI applications are accurate, reliable, and resource-efficient while managing costs effectively. The Coralogix platform offers a full-stack observability solution, integrating with tools like Checkly and Prometheus and supporting various deployment platforms such as Kubernetes. Additionally, leveraging AIOps (Artificial Intelligence for IT Operations) enhances AI monitoring by providing predictive analytics, automated anomaly detection, and intelligent automation of IT operations.