1 of 1- slickwhizsolutions
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Best Practices for Mitigating Flow Run Limits & Optimizing Child Flows
We are currently scaling our automated approval pipelines across multiple departments. We've started encountering API throttling and execution timeout challenges on high-volume runs with large SharePoint and Dataverse batch updates.We want to open this thread to discuss architectural patterns for:
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[*]Breaking monolithic workflows into modular Child Flows.
[*]Implementing standardized Try-Catch-Finally error-handling scopes.
[*]Managing service principals versus user connection references for production stability."
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- fdyer33
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Re: Best Practices for Mitigating Flow Run Limits & Optimizing Child Flows
Balancing high-volume operations reminds me of managing a f999 game—where every API call is like a critical in-game resource. In your scenario, throttling feels like hitting a rate cap mid-boss fight; you need to optimize batch sizes just like scaling up your f999 game’s load times. Consider chunking updates into smaller this real money , asynchronous bursts—like queuing actions in a turn-based strategy—to avoid timeouts. Dataverse and SharePoint updates could mirror dynamic difficulty adjustments, where workloads adapt to system limits. The key? Treat your pipeline like a f999 game’s progression system: smart pacing prevents crashes and keeps performance smooth.