How to Write Dynamic Integrations to Handle Extreme Volumes

Integration flows between APIs typically involve fetching records from one API, transforming them, and sending them to another API, but challenges arise when the volume of records exceeds processing capacities. At Pandium, run times are capped at 10 minutes to enhance resiliency, and issues can occur if an integration flow is not dynamic enough to handle backlogs, such as during high-demand events like Black Friday. A poorly written flow might either fetch all records before processing, leading to unprocessed records, or it may process some records without addressing remaining ones. To create a dynamic flow, processing records in batches or using an async generator with p-map can prevent these issues. Furthermore, updating the first API to mark records as processed or passing state information between runs can ensure continuity across multiple runs, avoiding missed records. These strategies enable handling larger volumes by ensuring that each run only processes unprocessed records, maintaining efficiency and reliability.