Power Automate Standards: Performance Optimization
This article provides tips for optimizing performance in Power Automate. The tips include enabling concurrency control in Apply to Each loops, executing flow actions in parallel branches, using filter queries when retrieving large datasets, reducing table sizes by selecting columns, staying below the data connector API limits, identifying bottlenecks with Process Advisor, favoring Compose over declaring variables when creating arrays, exploiting batch update APIs, and avoiding using on-premise actions. The article also includes a table of contents for easy navigation.
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