Event Management Overview
KillIT v3's Event Management system provides intelligent event processing, correlation, and automated response capabilities for IT operations. By leveraging discovered infrastructure relationships and AI analysis, it reduces alert noise and accelerates incident resolution.
Key Featuresβ
π¨ Intelligent Event Ingestionβ
- Multi-source Support: Integrates with Nagios, Zabbix, Prometheus, CloudWatch, Azure Monitor, and more
- Smart Deduplication: Automatically identifies and groups duplicate events
- CI Enrichment: Links events to Configuration Items from your CMDB
- Real-time Processing: Events are processed and correlated in real-time
π Advanced Correlationβ
- Dependency Analysis: Identifies root causes through CI dependency chains
- Temporal Correlation: Groups events occurring within configurable time windows
- Topology-based: Uses discovered CI relationships for intelligent grouping
- Pattern Matching: Identifies similar event signatures across systems
- Service Impact: Correlates events affecting the same business service
- Cascading Failure Detection: Tracks how failures propagate through infrastructure
π€ AI-Powered Analysisβ
- Anomaly Detection: Identifies unusual patterns and deviations
- Root Cause Analysis: Determines the originating failure point
- Impact Prediction: Forecasts potential business impact
- Automated Remediation: Suggests or executes remediation actions
π Business Contextβ
- Service Mapping: Links technical events to business services
- SLA Tracking: Monitors service level compliance
- Revenue Impact: Calculates potential financial impact
- User Impact: Identifies affected users and transactions
Architectureβ
The Event Management system consists of several key components:
βββββββββββββββββββ ββββββββββββββββ βββββββββββββββββ
β Event Sources ββββββΆβ Ingestion ββββββΆβ Correlation β
β (Monitoring) β β Pipeline β β Engine β
βββββββββββββββββββ ββββββββββββββββ βββββββββββββββββ
β
βΌ
βββββββββββββββββββ ββββββββββββββββ βββββββββββββββββ
β Your CMDB βββββββ AI Analysis βββββββ Enrichment β
β (CI Relations) β β Service β β Service β
βββββββββββββββββββ ββββββββββββββββ βββββββββββββββββ
Benefitsβ
- 90% Noise Reduction: Intelligent correlation reduces alert fatigue
- 70% Faster MTTR: AI-powered root cause analysis accelerates resolution
- Proactive Detection: Predict failures before they impact users
- Automated Response: Self-healing capabilities for common issues
Getting Startedβ
- Configure Event Sources - Set up monitoring tool integrations
- Understanding Correlation - Learn how events are grouped
- AI Analysis Features - Explore AI-powered capabilities
- Managing Events - Day-to-day event operations
Use Casesβ
Alert Storm Managementβ
When a critical component fails, hundreds of dependent alerts may fire. The Event Management system automatically:
- Groups all related alerts into a single incident
- Identifies the root cause component through dependency analysis
- Provides targeted remediation steps
- Tracks resolution progress
Dependency-Based Root Cause Analysisβ
When cascading failures occur (e.g., database crash affecting applications):
- Analyzes CI dependency relationships (depends_on, runs_on, database_connection)
- Identifies the upstream root cause (e.g., HANADB01 database failure)
- Maps downstream impacts (e.g., SAPPRD01 application failures)
- Provides confidence scores for correlation accuracy
Predictive Maintenanceβ
By analyzing patterns and anomalies, the system can:
- Predict disk space exhaustion
- Identify memory leaks before crashes
- Detect performance degradation trends
- Schedule preventive maintenance
Compliance & Auditβ
For regulated environments, the system:
- Tracks all event lifecycle changes
- Maintains audit trails
- Ensures SLA compliance
- Generates compliance reports
Next Stepsβ
- API Reference - Integrate your own tools
- Best Practices - Optimize your implementation
- Troubleshooting - Common issues and solutions