Alert Correlation Configuration

This guide covers the complete configuration process for Alert Correlation policies, from basic relationship mapping to advanced AI-driven correlation.

Configuration Overview

Alert Correlation configuration involves:

  1. Defining correlation criteria: What makes alerts related
  2. Setting relationship types: How alerts are connected
  3. Configuring confidence scoring: How strong relationships are
  4. Managing correlation lifecycle: How relationships are maintained

Basic Configuration Steps

1. Correlation Policy Creation

Policy Name: Database Application Correlation
Description: Correlates database alerts with dependent applications
Scope: Production environment
Priority: High
Enabled: true

2. Relationship Definition

Correlation Type: Dependency-based
Primary Source: Database monitoring
Secondary Sources: [Application monitoring, Infrastructure monitoring]
Relationship Strength: High
Time Window: 15 minutes

3. Correlation Criteria

Technical Correlation:
  - Resource dependencies (CMDB-based)
  - Network connectivity paths
  - Service call relationships
  - Performance metric correlation

Temporal Correlation:
  - Time proximity (within X minutes)
  - Sequence patterns (A followed by B)
  - Frequency patterns (recurring intervals)
  - Duration overlap analysis

Advanced Configuration Options

4. AI-Driven Correlation

Machine Learning Features:
  - Pattern recognition algorithms
  - Anomaly detection correlation
  - Predictive relationship modeling
  - Self-learning correlation rules

Configuration:
  Learning Period: 30 days minimum
  Confidence Threshold: 80%
  Auto-update Rules: true
  Human Feedback Integration: enabled

Continue reading for detailed examples and best practices…