Controlling Health Log Analytics alert generation, prioritization, and anomaly detection

Influence how Health Log Analytics generates and prioritizes alerts and identifies anomalies. Use alert filters to reduce noise from unimportant issues.

Overview of impacting alert generation, prioritization, and anomaly detection

Explore how to influence alert generation and anomaly detection in Health Log Analytics. You can create and modify rules to generate alerts for specific metrics, ensuring that you are informed of important issues. You can also assign different levels of significance to alerts, helping Health Log Analytics prioritize them based on their relevance. In addition, you can influence anomaly detection by managing the keywords that Health Log Analytics looks for in your log data, and use advanced log alert filters to reduce noise.

• Use alert rules to control when Health Log Analytics generates alerts

  Manage alert rules to generate Log Analytics alerts for specified metrics.

• Assign higher or lower significance to an alert in Health Log Analytics

  Assign higher or lower significance to an alert to help prioritize the alerts that Health Log Analytics generates.

• Influence anomaly detection in Health Log Analytics with lexical keywords

  Influence how Health Log Analytics finds anomalies by managing keywords it looks for in your log data.

• Reducing noise by adding advanced log alert filters in Health Log Analytics

  Use advanced log alert filters to reduce noise by making Health Log Analytics drop alerts that don't indicate a significant issue.