| name | prioritize-alerts |
| description | Prioritizes and categorizes alerts from monitoring systems across multi-cloud environments, applies intelligent filtering and escalation rules, and provides actionable alert summaries. Use when managing alert floods, improving incident response times, or implementing alert management strategies. |
| license | AGPLv3 |
| metadata | {"author":"agentic-reconciliation-engine","version":"1.0","category":"enterprise","risk_level":"medium","autonomy":"conditional","layer":"temporal"} |
| compatibility | Requires Python 3.8+, cloud provider CLI tools (AWS CLI, Azure CLI, gcloud), and access to multi-cloud monitoring systems |
| allowed-tools | Bash Read Write Grep |
Alert Prioritizer — Multi-Cloud Enterprise Automation
Purpose
Enterprise-grade automation solution for alert prioritizer operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.
When to Use
- Alert Floods: When dealing with high volumes of alerts from monitoring systems
- Incident Response: When quickly identifying the most critical alerts during incidents
- Noise Reduction: When filtering out false positives and low-priority alerts
- Multi-Source Alerts: When consolidating alerts from different monitoring systems
- On-Call Support: When helping on-call engineers focus on important issues
- Alert Fatigue Prevention: When reducing alert fatigue for engineering teams
- Escalation Management: When automatically escalating critical alerts to appropriate teams
Gotchas
Common Pitfalls
- Over-Filtering: Aggressive filtering may cause important alerts to be missed
- Context Loss: Alert prioritization may lose important context about the issue
- Team Silos: Different teams may have different priorities for the same alerts
- Alert Correlation: Related alerts may not be properly correlated, causing duplication
Edge Cases
- Cascading Failures: Single issues may trigger cascading alerts across systems
- Maintenance Windows: Alerts during maintenance should be deprioritized or suppressed
- Third-Party Outages: External service issues may generate many related alerts
- Multi-Region Issues: Global issues may generate region-specific alerts
Performance Issues
- Alert Volume: High alert volumes (1000+/minute) can overwhelm processing systems
- Real-time Requirements: Alert prioritization must happen in near real-time
- Memory Usage: Alert correlation requires keeping alerts in memory for analysis
- Network Latency: Distributed alert sources may have network delays
Security Considerations
- Sensitive Information: Alerts may contain sensitive system information or PII
- Access Control: Alert configuration and prioritization rules should be restricted
- Audit Requirements: All alert prioritization decisions must be logged
- Data Privacy: Alert content may be subject to privacy regulations
Troubleshooting
- Missing Alerts: Some alerts may not reach the prioritization system
- Incorrect Priorities: Prioritization logic may misclassify alert severity
- Integration Failures: Monitoring system integrations may fail or be unreliable
- Rule Conflicts: Multiple prioritization rules may conflict with each other
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/alert-prioritizer.py: Main automation implementationcore/scripts/automation/alert-prioritizer_handler.py: Cloud-specific operationscore/scripts/automation/multi_cloud_orchestrator.py: Cross-provider coordination
Trigger Keywords
alert, prioritizer, 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/alert-processor.py - Core alert ingestion and processing logicscripts/prioritization-engine.py - Alert scoring and ranking algorithmsreferences/alert-taxonomy.md - Alert classification and severity guidelinesassets/escalation-rules.yaml - Escalation policies and team assignmentsexamples/alert-dashboards/ - Sample alert management dashboards and reports
