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