Incident Triage Runbook — Multi-Cloud Enterprise Automation
Purpose
Enterprise-grade automation solution for incident triage runbook operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.
When to Use
- Production Outages: When services are down or severely degraded and immediate response is needed
- High Severity Alerts: For P1/P2 incidents requiring urgent attention and coordination
- Recurring Issues: When the same type of incident happens repeatedly and needs standardized response
- Multi-Service Impacts: When incidents affect multiple services or require cross-team coordination
- After-Hours Incidents: When on-call engineers need automated guidance and escalation procedures
- Compliance Incidents: When security or compliance breaches require documented response procedures
- Performance Degradation: When performance metrics breach thresholds and need investigation
Gotchas
Common Pitfalls
- Alert Fatigue: Too many automated alerts can cause real incidents to be missed
- False Positives: Automated triage may misclassify alerts and trigger unnecessary responses
- Runbook Conflicts: Multiple runbooks may conflict when executed simultaneously
- Escalation Delays: Automated escalation may not account for team availability or context
Edge Cases
- Cascading Failures: Initial incident may trigger secondary failures requiring different runbooks
- Partial Service Degradation: Some services working while others fail may confuse automated categorization
- Third-Party Outages: Incidents caused by external providers may require different response procedures
- Multi-Region Issues: Incidents affecting multiple regions need coordinated response across teams
Performance Issues
- Correlation Delays: Alert correlation and analysis may take time during high-volume incidents
- Resource Contention: Multiple incidents may compete for the same response resources
- Communication Overload: Automated notifications may overwhelm communication channels
- Database Locks: Concurrent incident updates may cause database contention
Security Considerations
- Sensitive Data: Incident details may contain sensitive information that needs protection
- Access Control: Runbook execution requires appropriate permissions but should follow principle of least privilege
- Audit Requirements: All incident responses must be logged for compliance and post-incident review
- Privacy Regulations: User data mentioned in incidents must comply with privacy laws
Troubleshooting
- Stuck Workflows: Runbook execution may get stuck waiting for manual input or external systems
- Missing Context: Automated triage may lack business context needed for proper prioritization
- Team Availability: Escalation paths may fail due to team schedules or contact information issues
- Integration Failures: Dependencies on external systems (monitoring, communication) may fail during incidents
Inputs
- operation: Operation type (required)
- targetResource: Target resource identifier (required)
- cloudProvider: Cloud provider -
aws|azure|gcp|onprem|all (optional, default: all) - parameters: Operation-specific parameters (optional)
- environment: Target environment (optional, default:
production) - dryRun: Dry run mode (optional, default:
true)
Process
- Cloud Provider Detection: Identify target cloud providers and environments
- Input Validation: Comprehensive parameter validation and security checks
- Multi-Cloud Context Analysis: Analyze current state across all providers
- Operation Planning: Generate optimized execution plan
- Safety Assessment: Risk analysis and impact evaluation across providers
- Execution: Perform operations with monitoring and validation
- Results Analysis: Process results and generate reports
Outputs
- Operation Results: Detailed execution results and status per provider
- Compliance Reports: Validation and compliance status across environments
- Performance Metrics: Operation performance and efficiency metrics by provider
- Recommendations: Optimization suggestions and next steps
- Audit Trail: Complete operation history for compliance across all providers
Environment
- AWS: EKS, EC2, Lambda, CloudWatch, IAM, S3
- Azure: AKS, VMs, Functions, Monitor, Azure AD
- GCP: GKE, Compute Engine, Cloud Functions, Cloud Monitoring
- On-Premise: Kubernetes clusters, VMware, OpenStack, Prometheus
- Multi-Cloud Tools: Terraform, Ansible, Crossplane, Cluster API
Dependencies
- Python 3.8+: Core execution environment
- Cloud SDKs: boto3, azure-sdk, google-cloud
- Kubernetes: kubernetes client for cluster operations
- Multi-Cloud Libraries: terraform-python, ansible-python
Scripts
core/scripts/automation/incident-triage-runbook.py: Main automation implementationcore/scripts/automation/incident-triage-runbook_handler.py: Cloud-specific operationscore/scripts/automation/multi_cloud_orchestrator.py: Cross-provider coordination
Trigger Keywords
incident, triage, runbook, automation, enterprise, multi-cloud, aws, azure, gcp, onprem
Human Gate Requirements
- Production changes: Production environment operations require approval
- High-impact operations: Critical operations require review
- Security changes: Security modifications need validation
Enterprise Features
- Multi-tenant Support: Isolated operations per tenant
- Role-based Access Control: Enterprise IAM integration
- Audit Logging: Complete audit trail for compliance
- Performance Monitoring: SLA tracking and metrics
- Security Hardening: Encryption and compliance standards
- Dynamic Code Generation: Agents can modify logic dynamically
- Cross-Cloud Orchestration: Coordinated operations across providers
References
Load these files when needed:
scripts/incident-triager.py - Alert correlation and categorization enginescripts/runbook-executor.py - Automated runbook execution frameworkreferences/incident-taxonomy.md - Standard incident classification systemassets/escalation-policies.yaml - Team escalation rules and contactsexamples/incident-scenarios/ - Common incident types and response procedures