Alert History

Historical record of all alerts that have been generated, acknowledged, and resolved. Use alert history to identify patterns, measure response times, and improve operations.

Overview

The Alert History view provides a complete timeline of past alerts, including when they were created, how they were handled, and how long they took to resolve. This data is valuable for identifying recurring issues, measuring team performance, and conducting post-incident reviews.

Report Columns

Key Metrics

• Total Alerts — Count of alerts in the selected period
• Mean Time to Acknowledge (MTTA) — Average time to first response
• Mean Time to Resolve (MTTR) — Average time from creation to resolution
• Auto-Resolved — Alerts resolved automatically by the platform
• False Positive Rate — Percentage of alerts that were false positives

Trend Analysis

The history report helps identify:

• Recurring alerts — Issues that generate alerts repeatedly
• Alert volume trends — Whether alert frequency is increasing or decreasing
• Resolution efficiency — How response times are changing over time
• Peak alert times — Days and hours with the most alerts

Filters

• Date Range — Last 7 days, 30 days, 90 days, or custom
• Severity — Critical, High, Medium, Low, Informational
• Category — Service Health, Security, Compliance, Custom
• Resolution — Resolved, Auto-resolved, False Positive, Suppressed
• Tenant — Filter by affected tenant

Best Practices

1. Review alert history weekly to identify recurring issues
2. Tune alert thresholds to reduce false positives
3. Track MTTR trends to measure team improvement
4. Create automation for frequently recurring alerts
5. Document resolution steps for common alert types

API Reference

• GET /api/monitoring/alerts/history — Get alert history
• GET /api/monitoring/alerts/metrics — Get alert performance metrics
• POST /api/monitoring/alerts/history/export — Export alert history