In Elastic 7.15, anomaly detection capabilities have been enhanced with the integration of the Kibana alerting framework, allowing for more user-friendly and efficient real-time monitoring and notifications. The update introduces new Machine Learning (ML) rule types that streamline the process of receiving anomaly alerts and enable users to define custom logic for alerts within Kibana, which is more intuitive and flexible compared to the older Watcher framework. The new system supports alerting on different types of anomalies, such as bucket, record, and influencer results, and provides options for early notifications, advanced settings, and health checks for anomaly detection jobs. Users can also configure actions for various connectors like Slack or Email, with templates offering full contextual information. The framework's alerting rules help manage anomaly detection more effectively by monitoring job health and providing timely notifications, enhancing the overall analytics process without requiring users to maintain the implementation themselves.