Workflow Development

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.

50+
Pre-built Nodes
200+
Integrations
99.9%
Uptime SLA
Scalability

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 Survey

Sub-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 Alert

Circuit 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 / Reprocess

Scaling 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 Watermark

Getting Started

  1. Start Simple: Begin with linear workflows
  2. Add Branching: Introduce conditions and parallel paths
  3. Handle Errors: Add retry and fallback logic
  4. Monitor: Set up observability and alerts
  5. Optimize: Profile and improve performance

Explore the Node Library →

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