Automated alerts are crucial for effective monitoring of infrastructure, as they help identify and address issues promptly to minimize service disruptions. However, alerts can be ineffective if overwhelmed by noise, making it essential to implement a strategic alerting framework, emphasizing "alert liberally; page judiciously" and "page on symptoms rather than causes." Alerts should be categorized by urgency: low-severity alerts record data for future reference without requiring immediate attention, moderate-severity alerts notify relevant parties of potential issues that need timely intervention, and high-severity alerts, or pages, demand immediate action for critical problems impacting service. Focusing on symptoms ensures that alerts are durable and relevant, allowing for quick response to actual service issues without unnecessary disruptions. Additionally, early warning alerts for critical resource limits, like disk space, can prevent severe problems by allowing preemptive action. This approach aims to optimize monitoring efficiency, reduce alert fatigue, and maintain service quality.