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

  • Freigeben Version: Australia
  • Aktualisiert 12. März 2026
  • 1 Minute Lesedauer
  • 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.