In today's data-driven environment, the need for automation in monitoring cloud-native applications is crucial, particularly for engineering teams managing complex microservices infrastructures. Application observability, enhanced by automation, offers a modern alternative to traditional application performance management by efficiently processing vast telemetry data and identifying critical issues. Logz.io's new App 360 solution introduces machine learning and AI-based Anomaly Detection to enhance this observability, allowing targeted and automated monitoring and alerts for specific services, particularly those affecting business outcomes. This capability is integrated into the Open 360 platform at no extra cost for existing users, facilitating precise monitoring and analysis through varied methods tailored to user roles, such as list-based service analysis or topography-based alerting. By leveraging these advanced techniques, organizations can preemptively address performance issues, thereby safeguarding the customer experience and adhering to service level objectives.