The text discusses the importance of alerting systems in maintaining observable and secure platforms by linking logs, metrics, and traces to notify system administrators when intervention is needed. It highlights the challenge of configuring alerts to avoid false positives and alert fatigue, which can desensitize workers and lead to missed alerts. The article distinguishes between static alerting, which uses fixed thresholds and can result in false alarms, and dynamic alerting, which leverages machine learning to set thresholds based on event contexts, reducing false positives. The text notes that platforms like Coralogix use advanced techniques to minimize false alarms and optimize alerting for different scenarios, such as time-relative and ratio alerts, to ensure that administrators are only notified of critical issues, thereby improving system reliability and efficiency.