prioritize-alerts

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

1. Cloud Provider Detection: Identify target cloud providers and environments
2. Input Validation: Comprehensive parameter validation and security checks
3. Multi-Cloud Context Analysis: Analyze current state across all providers
4. Operation Planning: Generate optimized execution plan
5. Safety Assessment: Risk analysis and impact evaluation across providers
6. Execution: Perform operations with monitoring and validation
7. 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 implementation
• core/scripts/automation/alert-prioritizer_handler.py: Cloud-specific operations
• core/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 logic
• scripts/prioritization-engine.py - Alert scoring and ranking algorithms
• references/alert-taxonomy.md - Alert classification and severity guidelines
• assets/escalation-rules.yaml - Escalation policies and team assignments
• examples/alert-dashboards/ - Sample alert management dashboards and reports