

# Indicators for continuous-monitoring
<a name="indicators-for-continuous-monitoring"></a>

This is the real-time observation and analysis of telemetry data. This capability provides continuous optimization through alert tuning and post-event investigations.

**Topics**
+ [[O.CM.1] Automate alerts for security and performance issues](o.cm.1-automate-alerts-for-security-and-performance-issues.md)
+ [[O.CM.2] Plan for large scale events](o.cm.2-plan-for-large-scale-events.md)
+ [[O.CM.3] Conduct post-incident analysis for continuous improvement](o.cm.3-conduct-post-incident-analysis-for-continuous-improvement.md)
+ [[O.CM.4] Report on business metrics to drive data-driven decision making](o.cm.4-report-on-business-metrics-to-drive-data-driven-decision-making.md)
+ [[O.CM.5] Detect performance issues using application performance monitoring](o.cm.5-detect-performance-issues-using-application-performance-monitoring.md)
+ [[O.CM.6] Gather user experience insights using digital experience monitoring](o.cm.6-gather-user-experience-insights-using-digital-experience-monitoring.md)
+ [[O.CM.7] Visualize telemetry data in real-time](o.cm.7-visualize-telemetry-data-in-real-time.md)
+ [[O.CM.8] Hold operational review meetings for data transparency](o.cm.8-hold-operational-review-meetings-for-data-transparency.md)
+ [[O.CM.9] Optimize alerts to prevent fatigue and minimize monitoring costs](o.cm.9-optimize-alerts-to-prevent-fatigue-and-minimize-monitoring-costs.md)
+ [[O.CM.10] Proactively detect issues using AI/ML](o.cm.10-proactively-detect-issues-using-aiml.md)