Complex Orchestration
Build sophisticated multi-step workflows with advanced orchestration patterns
FlowGenX is built from the ground up to handle complex enterprise orchestration scenarios that go far beyond simple linear workflows.
Enterprise-Grade Orchestration
Handle the most demanding integration and automation scenarios with confidence.
Orchestration Patterns
Parallel Execution with Sync Points
Execute multiple operations simultaneously and synchronize at defined points.
┌─────────────────────────────────────────────────┐
│ START │
└─────────────────┬───────────────────────────────┘
│
┌────────┴────────┐
│ FORK │
└────────┬────────┘
│
┌─────────────┼─────────────┐
│ │ │
▼ ▼ ▼
┌───────┐ ┌───────┐ ┌───────┐
│ API 1 │ │ API 2 │ │ API 3 │
└───┬───┘ └───┬───┘ └───┬───┘
│ │ │
└─────────┬─┴───────────┘
│
┌────┴────┐
│ JOIN │
└────┬────┘
│
▼
┌─────────┐
│ COMBINE │
└─────────┘Use Cases:
- Aggregate data from multiple APIs
- Send notifications to multiple channels
- Process data through multiple transformations
Saga Pattern (Distributed Transactions)
Manage complex transactions across multiple services with compensation logic.
┌─────────────────────────────────────────────────────────────┐
│ SAGA ORCHESTRATOR │
├─────────────────────────────────────────────────────────────┤
│ │
│ Step 1 Step 2 Step 3 │
│ ┌──────┐ ┌──────┐ ┌──────┐ │
│ │Create│──────▶│Reserve│──────▶│Charge│ │
│ │Order │ │Stock │ │Payment│ │
│ └──┬───┘ └──┬───┘ └──┬───┘ │
│ │ │ │ │
│ ┌──▼───┐ ┌──▼───┐ ┌──▼───┐ │
│ │Cancel│◀──────│Release│◀──────│Refund│ (Compensation) │
│ │Order │ │Stock │ │ │ │
│ └──────┘ └──────┘ └──────┘ │
│ │
└─────────────────────────────────────────────────────────────┘Features:
- Automatic rollback on failure
- Compensation actions for each step
- State persistence for recovery
- Idempotency guarantees
Event-Driven Choreography
React to events from multiple sources with decoupled processing.
┌─────────────┐
│ Event Bus │
└─────┬───────┘
│
┌──────────────────┼──────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Order │ │ Inventory │ │ Notification│
│ Processing │ │ Management │ │ Service │
└─────────────┘ └─────────────┘ └─────────────┘Event Sources:
- Application events
- Database changes (CDC)
- External webhooks
- Message queues
- Real-time streams
Long-Running Workflows
Handle workflows that span minutes, hours, or even days.
Capabilities:
- State Persistence: Workflow state saved to durable storage
- Resume on Restart: Automatic recovery after system restart
- Timers: Wait for specific times or durations
- Human Tasks: Pause for manual approval
- Checkpoints: Save progress at critical points
Day 1: Order Received
│
▼
Day 1: Payment Processing ──▶ Wait for payment confirmation
│
▼
Day 2: Fulfillment ──▶ Wait for warehouse confirmation
│
▼
Day 3: Shipping ──▶ Wait for delivery
│
▼
Day 5: Follow-up SurveySub-workflow Composition
Build complex workflows from reusable components.
┌─────────────────────────────────────────┐
│ MAIN WORKFLOW │
│ ┌─────────────────────────────────┐ │
│ │ Sub-workflow A │ │
│ │ ┌───────┐ ┌───────┐ ┌─────┐ │ │
│ │ │ Step1 │─▶│ Step2 │─▶│ ... │ │ │
│ │ └───────┘ └───────┘ └─────┘ │ │
│ └─────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────┐ │
│ │ Sub-workflow B │ │
│ │ ┌───────┐ ┌───────┐ ┌─────┐ │ │
│ │ │ Step1 │─▶│ Step2 │─▶│ ... │ │ │
│ │ └───────┘ └───────┘ └─────┘ │ │
│ └─────────────────────────────────┘ │
└─────────────────────────────────────────┘Benefits:
- Reusable workflow components
- Version management
- Independent testing
- Team collaboration
Error Handling Strategies
Retry with Exponential Backoff
Attempt 1: Immediate
Attempt 2: Wait 1 second
Attempt 3: Wait 2 seconds
Attempt 4: Wait 4 seconds
Attempt 5: Wait 8 seconds
→ Max attempts reached → Fallback or AlertCircuit Breaker
Prevent cascade failures when downstream services are unhealthy.
States:
- Closed: Normal operation, requests pass through
- Open: Requests fail fast, no calls to unhealthy service
- Half-Open: Test if service recovered
Dead Letter Queue
Capture failed messages for manual review or reprocessing.
Normal Queue ──▶ Processing ──▶ Success
│
▼ (Failure after retries)
Dead Letter Queue
│
▼
Manual Review / ReprocessScaling Patterns
Horizontal Scaling
Distribute workload across multiple workers.
- Queue-based distribution: Workers pull from shared queue
- Partition-based: Each worker handles specific data subset
- Load balancing: Round-robin or least-connections
Rate Limiting & Throttling
Control execution rate to prevent overwhelming downstream systems.
{
"rateLimit": {
"requests": 100,
"period": "1 minute",
"strategy": "sliding_window"
}
}Batching
Process multiple items together for efficiency.
Items 1-100 ──▶ Batch Process ──▶ Bulk Insert
Items 101-200 ──▶ Batch Process ──▶ Bulk Insert
...Real-World Examples
Example 1: Order Processing Pipeline
Order Received (Webhook)
│
├──▶ Validate Order
│
├──▶ [PARALLEL]
│ ├── Check Inventory
│ ├── Validate Payment
│ └── Check Fraud Score
│
├──▶ [JOIN - All must succeed]
│
├──▶ [CONDITION]
│ ├── High Value ──▶ Manager Approval (Human Task)
│ └── Normal ──▶ Auto-approve
│
├──▶ Create Shipment
│
├──▶ [PARALLEL]
│ ├── Update Inventory
│ ├── Charge Payment
│ └── Send Confirmation Email
│
└──▶ Schedule Follow-up (Timer: 7 days)Example 2: Data Pipeline with Transformation
Source DB Change (CDC Trigger)
│
├──▶ Extract Changed Records
│
├──▶ [FOR EACH Record]
│ ├── Transform (Data Mapper)
│ ├── Enrich (API Lookup)
│ └── Validate (Schema Check)
│
├──▶ [BATCH - 1000 records]
│ └── Load to Data Warehouse
│
└──▶ Update Sync WatermarkGetting Started
- Start Simple: Begin with linear workflows
- Add Branching: Introduce conditions and parallel paths
- Handle Errors: Add retry and fallback logic
- Monitor: Set up observability and alerts
- Optimize: Profile and improve performance