# Workflow Engine & Orchestration - Business Requirements

**Document Version**: 1.0
**Date**: January 2025
**Status**: Business Requirements Specification
**Module**: Workflow Engine & Orchestration (`pkg/workflow/`, `pkg/orchestration/`)

---

## 1. Purpose & Scope

### 1.1 Business Purpose
The Workflow Engine & Orchestration layer provides sophisticated automation capabilities for complex, multi-step remediation scenarios, enabling AI-driven workflow generation, adaptive orchestration, and intelligent dependency management across distributed Kubernetes environments.

### 1.2 Scope
- **Workflow Engine Core**: Execution engine for complex remediation workflows
- **Intelligent Workflow Builder**: AI-powered workflow generation and optimization
- **Adaptive Orchestration**: Self-optimizing orchestration with learning capabilities
- **Dependency Management**: Inter-service and resource dependency resolution
- **Execution Management**: Progress tracking, reporting, and control

---

## 2. Workflow Engine Core

### 2.1 Business Capabilities

#### 2.1.1 Workflow Execution
- **BR-WF-001**: MUST execute complex multi-step remediation workflows reliably
- **BR-WF-002**: MUST support conditional logic and branching within workflows
- **BR-WF-003**: MUST implement parallel and sequential execution patterns
- **BR-WF-004**: MUST provide workflow state management and persistence
- **BR-WF-005**: MUST support workflow pause, resume, and cancellation operations

#### 2.1.1.1 Workflow Timeout & Lifecycle Management
- **BR-WF-TIMEOUT-001**: MUST implement configurable workflow execution timeouts based on complexity
  - Simple workflows (1-3 steps): 10 minutes maximum
  - Medium workflows (4-10 steps): 20 minutes maximum
  - Complex workflows (11+ steps): 45 minutes maximum
- **BR-WF-TIMEOUT-002**: MUST provide step-level timeout configuration and enforcement
- **BR-WF-TIMEOUT-003**: MUST implement workflow deadline propagation to all sub-steps
- **BR-WF-TIMEOUT-004**: MUST support dynamic timeout adjustment based on execution progress
- **BR-WF-TIMEOUT-005**: MUST implement graceful workflow termination on timeout expiration
- **BR-WF-LIFECYCLE-001**: MUST track workflow execution phases (queued, running, paused, completed, failed, cancelled)
  - **Enhanced**: Correlate workflow phases with alert tracking ID for end-to-end visibility
  - **Enhanced**: Update alert lifecycle state in Remediation Processor when workflow phases change
  - **Enhanced**: Maintain bidirectional correlation between alert states and workflow states
  - **Enhanced**: Support alert-driven workflow prioritization and scheduling
- **BR-WF-LIFECYCLE-002**: MUST provide workflow progress reporting with milestone tracking
- **BR-WF-LIFECYCLE-003**: MUST implement workflow heartbeat monitoring to detect stuck executions
- **BR-WF-LIFECYCLE-004**: MUST support workflow execution prioritization and scheduling
- **BR-WF-LIFECYCLE-005**: MUST provide workflow dependency chain visualization and management

#### 2.1.2 Expression Engine
- **BR-WF-006**: MUST evaluate complex conditional expressions for workflow decisions
- **BR-WF-007**: MUST support dynamic variable substitution and context injection
- **BR-WF-008**: MUST implement mathematical and logical operations
- **BR-WF-009**: MUST provide string manipulation and pattern matching capabilities
- **BR-WF-010**: MUST support time-based and resource-based conditions

#### 2.1.3 Action Execution Framework
- **BR-WF-011**: MUST support custom action executors for specialized operations
- **BR-WF-012**: MUST integrate Kubernetes action executors seamlessly
- **BR-WF-013**: MUST provide monitoring action executors for health checks
- **BR-WF-014**: MUST implement action retry mechanisms with configurable strategies
- **BR-WF-015**: MUST support action rollback and compensation patterns

#### 2.1.4 Post-Condition Registry
- **BR-WF-016**: MUST validate workflow outcomes against expected conditions

#### 2.1.5 Multi-Stage Remediation Processing
- **BR-WF-017**: MUST process AI-generated JSON workflow responses with primary and secondary actions
  - **Enhanced**: Inherit alert tracking ID from Remediation Processor (BR-SP-021) for workflow correlation
  - **Enhanced**: Propagate alert tracking ID to all workflow steps and action executions
  - **Enhanced**: Maintain alert-to-workflow correlation in workflow metadata
  - **Enhanced**: Support workflow progress tracking linked to original alert lifecycle
- **BR-WF-018**: MUST execute conditional action sequences based on primary action outcomes
- **BR-WF-019**: MUST preserve context across multiple remediation stages
- **BR-WF-020**: MUST support execution conditions (if_primary_fails, after_primary, parallel_with_primary)
- **BR-WF-021**: MUST implement dynamic monitoring based on AI-defined success criteria
- **BR-WF-022**: MUST execute rollback actions when AI-defined triggers are met
- **BR-WF-023**: MUST pass parameters from AI responses to action executors seamlessly
- **BR-WF-024**: MUST track multi-stage workflow progress with stage-aware metrics

#### 2.1.6 Post-Condition Validation
- **BR-WF-050**: MUST implement post-condition checks for each workflow step
- **BR-WF-051**: MUST support custom validation rules and business logic
- **BR-WF-052**: MUST provide condition evaluation metrics and reporting
- **BR-WF-053**: MUST maintain condition registry with versioning support

### 2.2 Workflow Management
- **BR-WF-025**: MUST support workflow versioning and lifecycle management
- **BR-WF-026**: MUST implement workflow templates and reusable components
- **BR-WF-027**: MUST provide workflow import/export capabilities
- **BR-WF-028**: MUST support workflow inheritance and composition
- **BR-WF-029**: MUST maintain workflow execution history and audit trails

### 2.3 HolmesGPT Investigation Integration (v1)

#### 2.3.1 Investigation-Only Integration
- **BR-WF-HOLMESGPT-001**: MUST use HolmesGPT for investigation and analysis only - NOT for execution
- **BR-WF-HOLMESGPT-002**: MUST integrate HolmesGPT investigation results into workflow decision-making
- **BR-WF-HOLMESGPT-003**: MUST translate HolmesGPT recommendations into executable workflow actions
- **BR-WF-HOLMESGPT-004**: MUST validate HolmesGPT recommendations before execution using existing action executors
- **BR-WF-HOLMESGPT-005**: MUST provide execution feedback to HolmesGPT for continuous learning

#### 2.3.2 Failure Investigation & Recovery
- **BR-WF-INVESTIGATION-001**: MUST use HolmesGPT for step failure root cause analysis
- **BR-WF-INVESTIGATION-002**: MUST request recovery recommendations from HolmesGPT when steps fail
- **BR-WF-INVESTIGATION-003**: MUST assess action safety using HolmesGPT before executing recovery actions
- **BR-WF-INVESTIGATION-004**: MUST analyze execution results with HolmesGPT for pattern learning
- **BR-WF-INVESTIGATION-005**: MUST maintain investigation context across workflow execution phases

#### 2.3.3 Recovery Loop Prevention & Coordination
**Status**: ✅ Phase 1 Critical Fix (C3)
**Reference**: [`docs/architecture/PROPOSED_FAILURE_RECOVERY_SEQUENCE.md`](../architecture/PROPOSED_FAILURE_RECOVERY_SEQUENCE.md)

##### Recovery Attempt Limits
- **BR-WF-RECOVERY-001**: MUST limit recovery attempts to maximum of 3 per RemediationRequest
  - **Rationale**: Prevents infinite recovery loops and resource exhaustion
  - **Implementation**: [Deprecated - Issue #180] Recovery flow removed
  - **Success Criteria**: System escalates to manual review after 3 failed recovery attempts
  - **Monitoring**: Track `kubernaut_recovery_attempts_total` metric

- **BR-WF-RECOVERY-002**: MUST increment recovery attempt counter each time a new recovery AIAnalysis CRD is created
  - **Rationale**: Accurate tracking of recovery progression
  - **Implementation**: Increment in Remediation Orchestrator when creating recovery AIAnalysis
  - **Success Criteria**: [Deprecated - Issue #180] Recovery flow removed

##### Pattern Detection & Escalation
- **BR-WF-RECOVERY-003**: MUST detect repeated failure patterns and escalate to manual review
  - **Rationale**: Avoid wasting resources on strategies that consistently fail
  - **Pattern Definition**: Same failure signature (action + error type + step) occurs twice
  - **Implementation**: Track failure signatures across WorkflowExecutionRefs array
  - **Success Criteria**: System escalates when identical failure pattern detected twice
  - **Example**: Two consecutive "scale-deployment timeout at step 3" failures → escalate

- **BR-WF-RECOVERY-004**: MUST escalate to manual review when recovery viability evaluation fails
  - **Rationale**: Human intervention required when automated recovery is not viable
  - **Escalation Triggers**:
    - Max recovery attempts exceeded (BR-WF-RECOVERY-001)
    - Repeated failure pattern detected (BR-WF-RECOVERY-003)
    - Termination rate exceeded (BR-WF-RECOVERY-005)
  - **Implementation**: Set `escalatedToManualReview: true` and send notification
  - **Success Criteria**: Operations team receives notification within 30 seconds

##### Termination Rate Monitoring
- **BR-WF-RECOVERY-005**: MUST track system-wide termination rate and prevent recovery when rate exceeds 10% (BR-WF-541)
  - **Rationale**: System-wide safety mechanism to prevent cascade failures
  - **Calculation**: `(failedWorkflows / totalWorkflows)` in last 1 hour
  - **Implementation**: Remediation Orchestrator calculates rate before creating recovery workflow
  - **Success Criteria**: No new recovery workflows created when termination rate ≥ 10%
  - **Monitoring**: `kubernaut_workflow_termination_rate` gauge metric

- **BR-WF-RECOVERY-006**: MUST maintain audit trail of all recovery attempts in RemediationRequest.status
  - **Rationale**: Complete visibility into recovery progression for debugging and analysis
  - **Required Fields**:
    - `aiAnalysisRefs[]`: Array of all AIAnalysis CRDs (initial + recovery)
    - `workflowExecutionRefs[]`: Array with outcomes, failure details, attempt numbers
    - `recoveryAttempts`: Current counter
    - `lastFailureTime`: Timestamp of most recent failure
    - `escalatedToManualReview`: Boolean flag
  - **Success Criteria**: Complete recovery history available in CRD status
  - **Related**: See CRD schema in `docs/services/crd-controllers/05-remediationorchestrator/crd-schema.md`

##### Recovery Coordination
- **BR-WF-RECOVERY-007**: MUST coordinate recovery through Remediation Orchestrator (NOT WorkflowExecution internal handling)
  - **Rationale**: Separation of concerns - WorkflowExecution detects failures, Remediation Orchestrator coordinates recovery
  - **Pattern**: WorkflowExecution updates status to "failed" → Remediation Orchestrator watches → creates new AIAnalysis
  - **Anti-Pattern**: WorkflowExecution directly handling its own recovery
  - **Success Criteria**: All recovery coordination logic resides in Remediation Orchestrator controller

- **BR-WF-RECOVERY-008**: MUST create new AIAnalysis CRD for each recovery attempt with historical context
  - **Rationale**: AI needs previous failure information to recommend alternative strategies
  - **Context Sources**:
    - Context API: Historical failures, previous workflows, pattern data
    - Previous WorkflowExecution status: Failed step, error details, execution state
    - RemediationRequest status: Recovery attempt count, failure history
  - **Implementation**: AIAnalysis Controller queries Context API during recovery analysis
  - **Success Criteria**: Recovery AIAnalysis includes previous failure context in AI prompt

- **BR-WF-RECOVERY-009**: MUST transition RemediationRequest to "recovering" phase during recovery coordination
  - **Rationale**: Clear visibility into recovery state for monitoring and debugging
  - **Phase Transitions**:
    - `executing` → (workflow fails) → `recovering` → (new workflow created) → `executing`
    - `recovering` → (recovery limit reached) → `failed` + escalate
  - **Implementation**: Remediation Orchestrator updates phase when creating recovery AIAnalysis
  - **Success Criteria**: "recovering" phase visible in RemediationRequest.status.overallPhase

##### Recovery Viability Evaluation
- **BR-WF-RECOVERY-010**: MUST evaluate recovery viability before creating new recovery workflow
  - **Rationale**: Prevent resource waste on unrecoverable scenarios
  - **Evaluation Criteria** (ALL must pass):
    1. Recovery attempts < max (BR-WF-RECOVERY-001)
    2. No repeated failure pattern (BR-WF-RECOVERY-003)
    3. Termination rate < 10% (BR-WF-RECOVERY-005)
  - **Implementation**: Remediation Orchestrator `evaluateRecoveryViability()` function
  - **Success Criteria**: Recovery only attempted when all criteria pass
  - **Metrics**: Track `kubernaut_recovery_viability_evaluations_total{outcome="allowed|denied|reason"}`

##### Context API Integration

> **📋 Design Decision**: [DD-001 - Alternative 2](../architecture/DESIGN_DECISIONS.md#dd-001-recovery-context-enrichment-alternative-2) | ✅ **Approved Design** | Confidence: 95%

- **BR-WF-RECOVERY-011**: MUST integrate with Context API for historical recovery context (Alternative 2 - Complete Enrichment)
  - **Rationale**: AI needs historical data AND fresh monitoring/business context to generate effective alternative strategies
  - **Design**: **RemediationProcessing Controller enriches ALL contexts** (temporal consistency + immutable audit trail)
  - **Context Data Required**:
    - Fresh monitoring context (current cluster state, resource metrics)
    - Fresh business context (current ownership, runbooks, SLA)
    - Recovery context from Context API:
      - Previous workflow execution details
      - Historical failure patterns for this alert type
      - Related alerts and correlations
      - Successful recovery strategies for similar failures
  - **Implementation Flow (Alternative 2)**:
    1. **Remediation Orchestrator** creates new SignalProcessing CRD (recovery)
    2. **RemediationProcessing Controller** enriches with:
       - Monitoring context (queries monitoring service - FRESH!)
       - Business context (queries business context service - FRESH!)
       - Recovery context (queries Context API `/context/remediation/{id}` - FRESH!)
    3. **RemediationProcessing Controller** stores ALL contexts in `RemediationProcessing.status.enrichmentResults`
    4. **Remediation Orchestrator** watches completion, creates AIAnalysis with complete enrichment data
    5. **AIAnalysis Controller** reads ALL contexts from spec (no API calls needed)
  - **Graceful Degradation**: If Context API unavailable, RemediationProcessing Controller creates fallback context from `FailedWorkflowRef`
  - **Success Criteria**:
    - SignalProcessing CRDs contain complete enrichment (monitoring + business + recovery)
    - AIAnalysis CRDs receive ALL contexts from RemediationProcessing
    - Temporal consistency maintained (all contexts captured at same timestamp)
    - Immutable audit trail (each SignalProcessing CRD is separate)
  - **Reference**: See [`PROPOSED_FAILURE_RECOVERY_SEQUENCE.md`](../architecture/PROPOSED_FAILURE_RECOVERY_SEQUENCE.md) (Version 1.2 - Alternative 2)

#### 2.3.4 Existing Execution Infrastructure Integration
- **BR-WF-EXECUTOR-001**: MUST use existing KubernetesActionExecutor for all Kubernetes operations
- **BR-WF-EXECUTOR-002**: MUST use existing MonitoringActionExecutor for all monitoring operations
- **BR-WF-EXECUTOR-003**: MUST use existing CustomActionExecutor for notifications and webhooks
- **BR-WF-EXECUTOR-004**: MUST preserve existing action validation, rollback, and safety mechanisms
- **BR-WF-EXECUTOR-005**: MUST maintain existing action registry and handler patterns

### 2.4 Simulation & Testing
- **BR-WF-030**: MUST provide workflow simulation capabilities for testing
- **BR-WF-031**: MUST support dry-run execution for validation
- **BR-WF-032**: MUST implement test scenario generation and validation
- **BR-WF-033**: MUST provide performance testing for complex workflows
- **BR-WF-034**: MUST support A/B testing for workflow optimization

---

## 3. Intelligent Workflow Builder

### 3.1 Business Capabilities

#### 3.1.1 AI-Powered Generation
- **BR-IWB-001**: MUST generate workflows automatically based on alert context
- **BR-IWB-002**: MUST optimize workflow structure for efficiency and reliability
- **BR-IWB-003**: MUST incorporate historical success patterns in generation
- **BR-IWB-004**: MUST adapt workflows based on environmental characteristics
- **BR-IWB-005**: MUST provide confidence scoring for generated workflows

#### 3.1.2 Template Management
- **BR-IWB-006**: MUST maintain a library of workflow templates by scenario type
- **BR-IWB-007**: MUST support template customization and parameterization
- **BR-IWB-008**: MUST implement template versioning and compatibility checking
- **BR-IWB-009**: MUST provide template effectiveness tracking and optimization
- **BR-IWB-010**: MUST support community template sharing and collaboration

#### 3.1.3 Validation & Optimization
- **BR-IWB-011**: MUST validate generated workflows for correctness and safety
- **BR-IWB-012**: MUST optimize workflow performance through step reordering
- **BR-IWB-013**: MUST identify and eliminate redundant or ineffective steps
- **BR-IWB-014**: MUST implement resource usage optimization
- **BR-IWB-015**: MUST provide workflow complexity analysis and simplification

#### 3.1.4 Learning Integration
- **BR-IWB-016**: MUST learn from workflow execution outcomes
- **BR-IWB-017**: MUST improve generation algorithms based on feedback
- **BR-IWB-018**: MUST adapt to changing environmental patterns
- **BR-IWB-019**: MUST incorporate user feedback and manual corrections
- **BR-IWB-020**: MUST maintain learning model accuracy through validation

---

## 4. Adaptive Orchestration

### 4.1 Business Capabilities

#### 4.1.1 Self-Optimization
- **BR-ORCH-001**: MUST continuously optimize orchestration strategies based on outcomes
- **BR-ORCH-002**: MUST adapt resource allocation based on workload patterns
- **BR-ORCH-003**: MUST optimize execution scheduling for maximum efficiency
- **BR-ORCH-004**: MUST learn from execution failures and adjust strategies
- **BR-ORCH-005**: MUST implement predictive scaling for workflow demands

#### 4.1.2 Configuration Management
- **BR-ORCH-006**: MUST support dynamic configuration updates without restart
- **BR-ORCH-007**: MUST maintain configuration consistency across orchestrator instances
- **BR-ORCH-008**: MUST implement configuration validation and rollback
- **BR-ORCH-009**: MUST support environment-specific configuration profiles
- **BR-ORCH-010**: MUST provide configuration change impact analysis

#### 4.1.3 Maintainability & Operations
- **BR-ORCH-011**: MUST provide comprehensive operational visibility and control
- **BR-ORCH-012**: MUST implement health checks and self-diagnosis capabilities
- **BR-ORCH-013**: MUST support maintenance mode and graceful shutdown
- **BR-ORCH-014**: MUST provide debugging and troubleshooting tools
- **BR-ORCH-015**: MUST maintain operational metrics and performance baselines

#### 4.1.4 Multi-Cluster Coordination
- **BR-ORCH-016**: MUST coordinate workflows across multiple Kubernetes clusters
- **BR-ORCH-017**: MUST handle cluster connectivity and network partitions
- **BR-ORCH-018**: MUST implement cross-cluster resource dependencies
- **BR-ORCH-019**: MUST provide unified monitoring across distributed workflows
- **BR-ORCH-020**: MUST support disaster recovery and failover scenarios

---

## 5. Dependency Management

### 5.1 Business Capabilities

#### 5.1.1 Dependency Resolution
- **BR-DEP-001**: MUST identify and resolve workflow step dependencies automatically
- **BR-DEP-002**: MUST handle circular dependency detection and prevention
- **BR-DEP-003**: MUST support dynamic dependency discovery during execution
- **BR-DEP-004**: MUST implement dependency versioning and compatibility checking
- **BR-DEP-005**: MUST provide dependency impact analysis for changes

#### 5.1.2 Resource Dependencies
- **BR-DEP-006**: MUST manage Kubernetes resource dependencies and relationships
- **BR-DEP-007**: MUST handle external service dependencies and health checks
- **BR-DEP-008**: MUST implement dependency timeout and failure handling
- **BR-DEP-009**: MUST support optional and conditional dependencies
- **BR-DEP-010**: MUST provide dependency visualization and mapping

#### 5.1.3 Execution Coordination
- **BR-DEP-011**: MUST coordinate execution order based on dependency graphs
- **BR-DEP-012**: MUST optimize parallel execution while respecting dependencies
- **BR-DEP-013**: MUST handle dependency failures and provide alternatives
- **BR-DEP-014**: MUST implement dependency-aware rollback strategies
- **BR-DEP-015**: MUST support dependency override for emergency scenarios

---

## 6. Execution Management

### 6.1 Business Capabilities

#### 6.1.1 Progress Tracking
- **BR-EXEC-001**: MUST provide real-time workflow execution progress tracking
- **BR-EXEC-002**: MUST implement step-level status reporting and metrics
- **BR-EXEC-003**: MUST support execution timeline visualization
- **BR-EXEC-004**: MUST provide estimated completion time calculations
- **BR-EXEC-005**: MUST implement execution milestone tracking and alerting

#### 6.1.2 Report Generation
- **BR-EXEC-006**: MUST generate comprehensive execution reports
- **BR-EXEC-007**: MUST support multiple report formats (JSON, HTML, PDF)
- **BR-EXEC-008**: MUST provide executive summaries and detailed technical reports
- **BR-EXEC-009**: MUST implement automated report distribution and scheduling
- **BR-EXEC-010**: MUST support report customization and templating

#### 6.1.3 Execution Control
- **BR-EXEC-011**: MUST support workflow execution pause and resume operations
- **BR-EXEC-012**: MUST implement emergency stop capabilities with safe shutdown
- **BR-EXEC-013**: MUST provide step-level intervention and manual override
- **BR-EXEC-014**: MUST support execution replay and debugging capabilities
- **BR-EXEC-015**: MUST implement execution priority and resource allocation

#### 6.1.4 Repository Management
- **BR-EXEC-016**: MUST maintain persistent execution history and state
- **BR-EXEC-017**: MUST support execution data export and import
- **BR-EXEC-018**: MUST implement data retention policies for historical data
- **BR-EXEC-019**: MUST provide execution search and filtering capabilities
- **BR-EXEC-020**: MUST maintain data consistency and integrity across operations

---

## 7. Performance Requirements

### 7.1 Execution Performance
- **BR-PERF-001**: Workflow execution MUST start within 5 seconds of trigger
- **BR-PERF-002**: Simple workflows MUST complete within 2 minutes
- **BR-PERF-003**: Complex workflows MUST show progress within 30 seconds
- **BR-PERF-004**: Workflow builder MUST generate workflows within 15 seconds
- **BR-PERF-005**: Dependency resolution MUST complete within 10 seconds

### 7.2 Scalability & Throughput
- **BR-PERF-006**: MUST support 100 concurrent workflow executions
- **BR-PERF-007**: MUST handle 1000 workflow steps per minute
- **BR-PERF-008**: MUST support workflows with up to 100 steps
- **BR-PERF-009**: MUST manage 50 active orchestration contexts simultaneously
- **BR-PERF-010**: MUST scale to handle enterprise-level workflow volumes

### 7.3 Resource Efficiency
- **BR-PERF-011**: CPU utilization SHOULD NOT exceed 70% under normal load
- **BR-PERF-012**: Memory usage SHOULD remain under 2GB per orchestrator instance
- **BR-PERF-013**: MUST optimize workflow state storage and retrieval
- **BR-PERF-014**: MUST implement efficient event processing and queuing
- **BR-PERF-015**: MUST minimize network overhead for distributed operations

---

## 8. Reliability & Fault Tolerance

### 8.1 High Availability
- **BR-REL-001**: Workflow engine MUST maintain 99.9% availability
- **BR-REL-002**: MUST support leader election for orchestrator clustering
- **BR-REL-003**: MUST implement workflow execution failover capabilities
- **BR-REL-004**: MUST recover workflow state after system restarts
- **BR-REL-005**: MUST provide backup and restore for workflow definitions

### 8.2 Error Handling
- **BR-REL-006**: MUST implement comprehensive error handling at each workflow step
- **BR-REL-007**: MUST support automatic retry with exponential backoff
- **BR-REL-008**: MUST provide error propagation and escalation mechanisms
- **BR-REL-009**: MUST implement circuit breaker patterns for external dependencies
- **BR-REL-010**: MUST support graceful degradation during partial system failures

### 8.4 Workflow Resilience & Termination Rate Management
- **BR-WF-541**: MUST maintain workflow termination rate below 10% to ensure business continuity
  - **v1**: Implement partial success execution mode when workflows can deliver partial business value
  - **v1**: Provide configurable failure policies (terminate, continue, partial-success, recovery)
  - **v1**: Track termination rate metrics and alert when approaching 8% threshold
  - **v1**: Support graceful degradation rather than complete workflow failure
  - **v1**: Enable recovery execution mode for workflows that can be salvaged
  - **v1**: Implement learning-based termination adjustment to optimize policy over time

### 8.5 Workflow Health Assessment & Monitoring
- **BR-WF-HEALTH-001**: MUST implement real-time workflow health scoring based on step completion rates and failure patterns
  - **v1**: Provide health-based continuation decisions with configurable health thresholds
  - **v1**: Support learning-based health adjustments from historical execution patterns
  - **v1**: Generate health recommendations for workflow optimization
  - **v1**: Track health metrics over time for trend analysis and capacity planning
  - **v1**: Correlate health status with business impact for prioritization decisions

### 8.6 Learning Framework & Confidence Management
- **BR-WF-LEARNING-001**: MUST maintain ≥80% confidence threshold for all learning-based decisions
  - **v1**: Track learning effectiveness metrics including accuracy and adaptation success rates
  - **v1**: Implement adaptive retry delay calculation based on failure pattern analysis
  - **v1**: Require minimum 10 execution history before applying learned patterns
  - **v1**: Provide learning metrics reporting for operational visibility
  - **v1**: Support learning enablement/disablement for controlled rollout
  - **v1**: Maintain pattern recognition accuracy ≥75% for reliable decision making

### 8.7 Advanced Recovery Strategy Management
- **BR-WF-RECOVERY-001**: MUST generate recovery plans for failed workflow steps with multiple recovery options
  - **v1**: Support recovery execution mode that creates new workflow instances from failed ones
  - **v1**: Implement alternative execution paths when primary workflow paths fail
  - **v1**: Provide recovery action types including retry, rollback, skip, and alternative path
  - **v1**: Validate recovery plan feasibility before execution
  - **v1**: Track recovery success rates for continuous improvement
  - **v1**: Support partial recovery for workflows with mixed success/failure states

### 8.8 Critical System Failure Classification
- **BR-WF-CRITICAL-001**: MUST classify failures by severity (critical, high, medium, low) based on system impact
  - **v1**: Identify critical system failure patterns that require immediate termination
  - **v1**: Distinguish between recoverable and non-recoverable failures for appropriate response
  - **v1**: Provide configurable critical failure patterns for different deployment environments
  - **v1**: Escalate critical failures to operational monitoring systems
  - **v1**: Maintain failure classification accuracy through pattern learning

### 8.9 Performance Optimization & Monitoring
- **BR-WF-PERFORMANCE-001**: MUST achieve ≥15% performance gains through continuous optimization
  - **v1**: Implement performance trend monitoring with 7-day rolling windows
  - **v1**: Provide performance baseline tracking for comparison and improvement measurement
  - **v1**: Optimize workflow execution scheduling based on historical performance data
  - **v1**: Implement health check intervals of 1 minute for real-time monitoring
  - **v1**: Track performance metrics including execution time, resource utilization, and throughput
  - **v1**: Provide performance optimization recommendations based on trend analysis

### 8.10 Advanced Configuration Management
- **BR-WF-CONFIG-001**: MUST provide configurable resilience parameters including failure thresholds and retry policies
  - **v1**: Support environment-specific configuration for development, staging, and production
  - **v1**: Implement configuration validation before applying changes
  - **v1**: Provide configuration defaults that ensure safe operation
  - **v1**: Support runtime configuration updates where safe and appropriate
  - **v1**: Maintain configuration history for rollback and audit purposes
  - **v1**: Validate configuration consistency across distributed workflow instances

### 8.3 Data Consistency
- **BR-REL-011**: MUST maintain workflow state consistency across all operations
- **BR-REL-012**: MUST implement transactional boundaries for critical operations
- **BR-REL-013**: MUST provide data validation and corruption detection
- **BR-REL-014**: MUST support distributed locking for concurrent workflow access
- **BR-REL-015**: MUST implement eventual consistency for distributed state

---

## 9. Security Requirements

### 9.1 Workflow Security
- **BR-SEC-001**: MUST implement workflow-level access controls and permissions
- **BR-SEC-002**: MUST validate workflow definitions for security vulnerabilities
- **BR-SEC-003**: MUST support encrypted workflow storage and transmission
- **BR-SEC-004**: MUST implement audit logging for all workflow operations
- **BR-SEC-005**: MUST support secure credential management within workflows

### 9.2 Execution Security
- **BR-SEC-006**: MUST enforce execution context isolation between workflows
- **BR-SEC-007**: MUST implement resource quotas and limits for workflow execution
- **BR-SEC-008**: MUST validate all external integrations and dependencies
- **BR-SEC-009**: MUST support sandboxed execution for untrusted workflows
- **BR-SEC-010**: MUST implement security scanning for workflow definitions

### 9.3 Data Protection
- **BR-SEC-011**: MUST encrypt sensitive workflow data at rest and in transit
- **BR-SEC-012**: MUST implement data masking for non-production environments
- **BR-SEC-013**: MUST support data classification and handling policies
- **BR-SEC-014**: MUST provide secure backup and recovery procedures
- **BR-SEC-015**: MUST maintain security audit trails with integrity verification

---

## 10. Integration Requirements

### 10.1 Internal Integration
- **BR-INT-001**: MUST integrate with AI components for intelligent workflow generation
- **BR-INT-002**: MUST coordinate with platform layer for Kubernetes operations
- **BR-INT-003**: MUST utilize storage components for workflow persistence
- **BR-INT-004**: MUST integrate with monitoring systems for execution visibility
- **BR-INT-005**: MUST coordinate with intelligence components for pattern learning
- **BR-WF-ALERT-001**: MUST integrate with Remediation Processor tracking system
  - Receive alert tracking ID from AI Analysis Engine for all alert-driven workflows
  - Propagate tracking ID to all workflow steps, actions, and sub-workflows
  - Update Remediation Processor with workflow execution milestones and completion status
  - Support workflow cancellation based on alert lifecycle state changes
  - Maintain correlation metadata for audit trail and debugging purposes
  - **Enhanced for Post-Mortem**: Record workflow decision points, branch selections, and execution paths taken
  - **Enhanced for Post-Mortem**: Capture step-by-step execution timing, resource usage, and performance metrics
  - **Enhanced for Post-Mortem**: Log workflow failures, retry attempts, rollback actions, and recovery procedures
  - **Enhanced for Post-Mortem**: Store conditional logic evaluation results and parameter values used
  - **Enhanced for Post-Mortem**: Record workflow effectiveness metrics and outcome validation results

### 10.2 External Integration
- **BR-INT-006**: MUST support integration with external workflow engines (Tekton, Argo)
- **BR-INT-007**: MUST integrate with CI/CD pipelines (Jenkins, GitLab, GitHub Actions)
- **BR-INT-008**: MUST support webhook integration for external event triggers
- **BR-INT-009**: MUST integrate with notification systems for status updates
- **BR-INT-010**: MUST support API integration with external systems and tools

---

## 11. Monitoring & Observability

### 11.1 Execution Monitoring
- **BR-MON-001**: MUST provide real-time workflow execution monitoring
- **BR-MON-002**: MUST track workflow performance metrics and SLA compliance
- **BR-MON-003**: MUST implement distributed tracing for workflow execution
- **BR-MON-004**: MUST monitor resource utilization during workflow execution
- **BR-MON-005**: MUST provide workflow execution analytics and insights

### 11.2 Business Metrics
- **BR-MON-006**: MUST track workflow success rates and failure patterns
- **BR-MON-007**: MUST measure workflow efficiency and optimization gains
- **BR-MON-008**: MUST monitor business value delivered through workflows
- **BR-MON-009**: MUST track user satisfaction with workflow outcomes
- **BR-MON-010**: MUST provide ROI metrics for workflow automation

### 11.3 Alerting & Notifications
- **BR-MON-011**: MUST alert on workflow execution failures and anomalies
- **BR-MON-012**: MUST provide escalation procedures for critical workflow issues
- **BR-MON-013**: MUST implement intelligent alerting to reduce notification noise
- **BR-MON-014**: MUST support customizable notification channels and preferences
- **BR-MON-015**: MUST provide proactive alerting for potential issues

---

## 12. Data Management Requirements

### 12.1 Workflow Definition Management
- **BR-DATA-001**: MUST maintain versioned workflow definitions with change tracking
- **BR-DATA-002**: MUST support workflow definition backup and recovery
- **BR-DATA-003**: MUST implement workflow definition validation and testing
- **BR-DATA-004**: MUST provide workflow definition import/export capabilities
- **BR-DATA-005**: MUST support workflow definition search and discovery

### 12.2 Execution Data Management
- **BR-DATA-006**: MUST store comprehensive execution history with full context
- **BR-DATA-007**: MUST implement data retention policies for execution history
- **BR-DATA-008**: MUST support execution data analytics and reporting
- **BR-DATA-009**: MUST provide execution data export for external analysis
- **BR-DATA-010**: MUST maintain execution data integrity and consistency

### 12.3 State Management
- **BR-DATA-011**: MUST persist workflow execution state reliably
- **BR-DATA-012**: MUST support state snapshots and checkpointing
- **BR-DATA-013**: MUST implement state recovery and restoration capabilities
- **BR-DATA-014**: MUST provide state validation and consistency checks
- **BR-DATA-015**: MUST support distributed state management for clustered deployments

---

## 13. User Experience Requirements

### 13.1 Workflow Creation
- **BR-UX-001**: MUST provide intuitive workflow creation and editing interfaces
- **BR-UX-002**: MUST support visual workflow design with drag-and-drop capabilities
- **BR-UX-003**: MUST implement workflow templates and quick-start options
- **BR-UX-004**: MUST provide real-time validation and error highlighting
- **BR-UX-005**: MUST support collaborative workflow development

### 13.2 Execution Monitoring
- **BR-UX-006**: MUST provide comprehensive execution dashboards
- **BR-UX-007**: MUST support real-time execution visualization
- **BR-UX-008**: MUST implement intuitive progress tracking and status displays
- **BR-UX-009**: MUST provide detailed execution logs and debugging information
- **BR-UX-010**: MUST support execution control and intervention capabilities

### 13.3 Analytics & Reporting
- **BR-UX-011**: MUST provide intuitive analytics dashboards
- **BR-UX-012**: MUST support customizable reporting and data visualization
- **BR-UX-013**: MUST implement trend analysis and forecasting displays
- **BR-UX-014**: MUST provide actionable insights and recommendations
- **BR-UX-015**: MUST support data export and sharing capabilities

---

## 14. Success Criteria

### 14.1 Functional Success
- Workflow engine executes complex workflows with >95% success rate
- Intelligent workflow builder generates relevant workflows with >80% user acceptance
- Adaptive orchestration demonstrates measurable efficiency improvements over time
- Dependency management prevents conflicts with >99% accuracy
- Execution management provides comprehensive visibility and control

### 14.2 Performance Success
- All workflow operations meet defined latency requirements
- System scales to handle enterprise workflow volumes without degradation
- Resource utilization remains within optimal ranges under load
- High availability targets are achieved with minimal service disruption
- Error recovery completes within defined timeframes

### 14.3 Business Success
- Workflow automation reduces manual effort by 70% for complex scenarios
- AI-generated workflows demonstrate continuous improvement in effectiveness
- User satisfaction with workflow capabilities exceeds 85%
- Operational efficiency gains demonstrate clear ROI within 9 months
- Knowledge accumulation enables increasingly sophisticated automation

---

## 4. Workflow Learning & Optimization (V1 Enhancement)

### 4.1 Feedback-Driven Performance Improvement

#### **BR-WF-LEARN-V1-001: Feedback-Driven Performance Improvement**
**Business Requirement**: The system MUST implement comprehensive feedback-driven learning mechanisms to continuously improve workflow performance based on execution outcomes and user feedback.

**Functional Requirements**:
1. **Execution Outcome Analysis** - MUST analyze workflow execution outcomes to identify performance patterns
2. **User Feedback Integration** - MUST integrate user feedback on workflow effectiveness and quality
3. **Performance Metrics Tracking** - MUST track detailed performance metrics for all workflow executions
4. **Continuous Improvement** - MUST implement continuous improvement algorithms based on feedback data

**Success Criteria**:
- >30% performance improvement through feedback-driven optimization
- 95% accuracy in execution outcome analysis
- 90% user feedback integration rate for workflow evaluations
- Measurable continuous improvement in workflow effectiveness metrics

**Business Value**: Self-improving workflows reduce operational overhead and enhance automation quality

#### **BR-WF-LEARN-V1-002: Quality-Based Learning Optimization**
**Business Requirement**: The system MUST implement quality-based learning optimization that prioritizes workflow improvements based on business impact and quality metrics.

**Functional Requirements**:
1. **Quality Assessment** - MUST implement comprehensive quality assessment for workflow executions
2. **Business Impact Analysis** - MUST analyze business impact of workflow improvements and optimizations
3. **Priority-Based Learning** - MUST prioritize learning based on business value and quality impact
4. **Quality Feedback Loop** - MUST provide quality feedback loops for continuous optimization

**Success Criteria**:
- 90% accuracy in workflow quality assessment
- 85% correlation between quality improvements and business impact
- Priority-based learning optimization with measurable business value
- Continuous quality improvement with feedback loop validation

**Business Value**: Quality-focused learning ensures workflow improvements deliver maximum business value

#### **BR-WF-LEARN-V1-003: Learning Metrics and Analytics**
**Business Requirement**: The system MUST provide comprehensive learning metrics and analytics to enable data-driven workflow optimization and performance tracking.

**Functional Requirements**:
1. **Learning Analytics Dashboard** - MUST provide comprehensive analytics dashboard for learning metrics
2. **Performance Trend Analysis** - MUST analyze performance trends and learning effectiveness over time
3. **Optimization Impact Measurement** - MUST measure the impact of learning-based optimizations
4. **Predictive Learning Analytics** - MUST provide predictive analytics for future learning opportunities

**Success Criteria**:
- Real-time learning analytics with <1 minute update frequency
- 90% accuracy in performance trend analysis and predictions
- Complete optimization impact measurement with ROI tracking
- Predictive learning analytics with 85% accuracy in opportunity identification

**Business Value**: Data-driven learning optimization enables measurable workflow performance improvements

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*This document serves as the definitive specification for business requirements of Kubernaut's Workflow Engine & Orchestration components. All implementation and testing should align with these requirements to ensure sophisticated, reliable, and effective workflow automation capabilities.*
