Concept Guide

Understanding Flows

An in-depth exploration of flow concepts, architecture patterns, and practical use cases in modern application development.

15 min read
ArchitectureConceptsDesign

What Are Flows?

Flows are visual representations of business logic and automation processes. They enable developers and business analysts to design complex workflows using a no-code or low-code interface, bridging the gap between technical implementation and business requirements.

Core Concepts

Flow Structure

Flows consist of nodes (individual actions or decisions) connected by edges (transitions between states). This graph-based structure allows for complex branching logic and parallel execution paths.

Execution Context

Each flow maintains its own execution context, storing variables, state information, and runtime data. Context allows nodes to share information and make dynamic decisions based on previous steps.

Node Types

Different node types serve specific purposes: action nodes perform operations, decision nodes implement conditional logic, integration nodes connect to external systems, and terminal nodes mark flow completion.

Architectural Patterns

Linear Flows

Sequential processing with predictable execution order, ideal for simple automation tasks

Branching Flows

Conditional paths based on decision nodes, enabling dynamic behavior based on data

Parallel Flows

Concurrent execution of multiple branches, improving performance for independent operations

Nested Flows

Flows calling other flows as sub-processes, promoting reusability and modularity

Common Use Cases

  • Customer Onboarding: Automate user registration, verification, and welcome sequences
  • Order Processing: Handle payment, inventory, fulfillment, and notification workflows
  • Approval Workflows: Route requests through multiple approval stages with role-based logic
  • Data Synchronization: Keep multiple systems in sync with scheduled or event-driven flows

Best Practices

1.Keep flows focused on a single business process to maintain clarity and testability
2.Use descriptive names for nodes and variables to improve maintainability
3.Implement error handling and fallback paths for robust production deployments
4.Document complex decision logic and integration points for team collaboration

Explore the Complete Concept Guide

Dive deeper into flow architecture with diagrams, examples, and advanced patterns.

Read Full Guide