Patterns
Apply reusable designs to common integration problems.
Explore approaches to data extraction, record correlation, APIs, error recovery, and breaking down larger Workflows.
7 Articles
Cached Result Pattern v1
The Cached Result pattern enables you to improve performance of frequently running Workflows and reduce overhead on internal apps and services by caching data within the platform for a defined period of time.
Collector/Processor Pattern v1
The Collector/Processor pattern allows you to acquire data in one Workflow and process it asynchronously in another Workflow.
Extract Transform Load ETL Pattern v1
The Extract Transform Load pattern is the most common type of Production ready Workflow.
Integrating with SQL databases v1
Flowgear includes the following Connectors for SQL.
Key/Value Tracking Pattern v1
The Key/Value Tracking pattern uses Key/Value Nodes to track data as it moves through an integration.
One-To-Many Pattern v1
The One-to-Many pattern enables you to retrieve data from one source and send it to many targets, or retrieve data from many sources and send it to one target.
Repeating an integration with Dynamic Connections v1
Flowgear allows you to inject a Connection ID directly into the Connection Property of a Connector Node.