Concurrency Control – Apply to each for improving performance (Power Automate / Dataverse)
The article discusses the use of concurrency control in Power Automate to improve performance. It explains how enabling concurrency control and adjusting the degree of parallelism can significantly reduce the processing time for large datasets. The article provides examples of how the processing time decreased from 37 minutes to 4 minutes and then to 2:45 minutes when concurrency control was implemented. However, it also cautions that concurrency control should be used carefully when the order of processing is critical and that it can potentially hit API request limits. The article concludes by mentioning that more details on concurrency limits can be found in the provided link.
Article 15m
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