opibility

Call Us @

317.732.5185

Email Address

info@opibility.com

ops blog

Optimizing Power Automate: Best Practices and Credit Consumption Guide

Blog Categories:

Power Automate is a powerful tool for automating business processes, but managing its credit consumption efficiently is crucial to controlling costs. In this post, we will explore best practices for optimizing Power Automate workflows and provide a detailed table on what consumes credits and how much each action costs.

Best Practices for Optimizing Power Automate Credits

  1. Reduce the Number of Actions

    • Each action in a flow consumes API requests. Minimize redundant actions by consolidating logic and using variables efficiently.

  2. Optimize Loops

    • Avoid unnecessary loops. Use batch processing where possible, such as bulk record retrieval and updates, instead of iterating through individual records.

  3. Use Built-in Connectors Wisely

    • Premium connectors often consume more credits. Evaluate if a standard connector or an alternative approach (such as a scheduled sync instead of real-time API calls) can achieve similar results.

  4. Leverage Parallel Processing

    • Running multiple actions sequentially increases credit consumption. Instead, use parallel branches to execute independent processes simultaneously, reducing the number of runs.

  5. Limit External API Calls

    • Every API request to an external system (e.g., HTTP requests) consumes credits. Optimize by caching results where applicable and batching calls.

  6. Minimize Dataverse Transactions

    • Each record read, written, or deleted in Dataverse consumes API requests. Consider aggregating data processing tasks and using bulk operations.

  7. Use Trigger Conditions to Prevent Unnecessary Runs

    • Without conditions, a flow might trigger more frequently than needed. Define conditions that filter out unnecessary executions, saving API requests.

  8. Monitor Flow Analytics and Usage

    • Regularly review flow run history in Power Automate to identify high-credit-consuming flows and optimize them accordingly.

Power Automate Credit Consumption Table

ActionCredits Used per Request
Cloud Flow Execution1 per run
Desktop Flow (Attended RPA)1 per run
Desktop Flow (Unattended RPA)5 per run
Office 365 Outlook: Read Email1 per email
Parse Email Body1-2 per operation
Process Email Attachment1-3 per attachment
HTTP Request (External API Call)1 per request
Dataverse Record Read1 per record
Dataverse Record Write1 per record
Dataverse Record Delete1 per record
Excel Online: Read/Write Row1 per row
SQL Server Query Execution1 per query
AI Builder OCR/Text Recognition5 per operation
Scheduled Flow Trigger1 per trigger execution
Instant Flow Trigger1 per trigger execution

Final Thoughts

By implementing these best practices and being mindful of how credits are consumed, you can maximize efficiency while keeping costs in check. Regular monitoring and optimization of your flows will ensure that Power Automate remains a cost-effective solution for your automation needs.

Microsoft Power Automate Logo