| name | manage-workflows |
| description | Use when you need to coordinate and manage complex workflows across cloud environments. Orchestrates multi-step processes, handles dependencies, manages state, and provides workflow execution tracking for automation pipelines and business processes. |
| 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 |
Workflow Management — Multi-Cloud Enterprise Automation
Purpose
Enterprise-grade automation solution for workflow management operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.
When to Use
- Complex Automation: When coordinating multi-step processes with dependencies
- Business Processes: When automating business workflows like approvals, provisioning, or onboarding
- CI/CD Pipelines: When managing complex deployment pipelines with multiple stages
- Data Processing: When orchestrating data processing workflows and ETL pipelines
- Compliance Workflows: When managing compliance-related processes like audits or certifications
- Incident Response: When coordinating incident response procedures and communication
- Resource Orchestration: When managing complex resource provisioning and configuration workflows
Gotchas
Common Pitfalls
- Workflow Complexity: Overly complex workflows are hard to debug and maintain
- State Management: Improper state handling can cause workflow inconsistencies
- Error Handling: Missing error handling can cause silent failures or stuck workflows
- Timeout Issues: Long-running workflows may timeout or be abandoned
Edge Cases
- Concurrent Workflows: Multiple workflows may compete for the same resources
- Rollback Scenarios: Complex workflows may not have proper rollback mechanisms
- External Dependencies: Workflows depending on external systems may fail unpredictably
- Resource Limits: Workflow execution may be limited by available resources
Performance Issues
- Workflow Scale: Large numbers of concurrent workflows can overwhelm the system
- State Persistence: Frequent state updates can impact performance
- Memory Usage: Long-running workflows may accumulate memory usage
- Database Contention: Workflow state storage can become a bottleneck
Security Considerations
- Credential Management: Workflows may need access to sensitive credentials
- Data Privacy: Workflow data may contain sensitive information requiring protection
- Access Control: Workflow management should follow principle of least privilege
- Audit Requirements: All workflow executions must be logged for compliance
Troubleshooting
- Stuck Workflows: Workflows may get stuck waiting for resources or external events
- State Corruption: Workflow state may become corrupted requiring manual intervention
- Dependency Issues: External dependencies may fail causing workflow failures
- Configuration Errors: Incorrect workflow configuration can cause execution failures
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/workflow-management.py: Main automation implementationcore/scripts/automation/workflow-management_handler.py: Cloud-specific operationscore/scripts/automation/multi_cloud_orchestrator.py: Cross-provider coordination
Trigger Keywords
workflow, management, 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/workflow-engine.py - Core workflow execution and state managementscripts/dependency-resolver.py - Workflow dependency analysis and resolutionreferences/workflow-patterns.md - Common workflow patterns and best practicesassets/workflow-templates.yaml - Reusable workflow templates for common processesexamples/workflow-examples/ - Complete workflow examples for different use cases
