Orchestrate Workflows

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/orchestrator.py: Main automation implementation
• core/scripts/automation/orchestrator_handler.py: Cloud-specific operations
• core/scripts/automation/multi_cloud_orchestrator.py: Cross-provider coordination

Trigger Keywords

orchestrator, 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

Best Practices

• Idempotent Operations: Safe retry mechanisms
• Circuit Breaker Patterns: Resilience against failures
• Rate Limiting: Respect API limits and implement backpressure
• Graceful Degradation: Fallback strategies when providers are unavailable
• Comprehensive Testing: Integration tests and compliance validation
• Security First: Zero-trust architecture and principle of least privilege