🚀 Stop using loops in Power Automate if you want faster flows and fewer actions.

Power Automate performance matters — especially when working with large data.
If you're using Apply to each loops in Power Automate, your flows can become slow, expensive, and hard to scale.
❌ Slow performance (minutes → hours)
❌ High action counts (cost + limits)
❌ Poor scalability in real-world scenarios

💡 In this Power Automate tutorial, you’ll learn how to build faster flows with fewer actions by avoiding inefficient loops.
⚡ Parallel processing
⚡ Expressions instead of iteration
⚡ Data Operation actions for bulk operations (no apply to each loops)
⚡ Optimized data retrieval (SharePoint + Excel)
⚡ Graph API to save data in ONE go to Excel

🔍 Real Example
We take a flow that takes ~5 hours using loops
…and redesign it to run in ~30 seconds ⚡

🧠 Key Takeaway
👉 Loops are fine for small datasets
👉 But for large data, you need better patterns

This is how you go from:
✔️ Basic flows
➡️ High-performance, production-ready automation

🎯 Who This Is For
✔️ Power Automate makers working with real data
✔️ Anyone hitting performance issues or experience slow flow run times
✔️ Teams building scalable enterprise solutions

#powerautomate #powerplatform #microsoft

Power Automate - Requests limits and allocations
https://learn.microsoft.com/power-pla...

➡️ The link to download flow is in Community Tab for Channel Members (Gold 🥇 OR Silver 🥈)
To become a member, click here: https://www.youtube.com/rezadorrani/join

Table of Contents:
0:00 - Introduction
0:34 - Building workflows in Microsoft Power Automate
1:11 - SharePoint & Excel - Power Automate Use Case
3:01 - Too many actions in flow including apply to each - slow flow run time
3:53 - Flow without loops leads to FAST execution times
4:24 - Avoid large apply to each loop in Power Automate flows
8:13 - Building optimized workflows
9:05 - Step by Step build Power Automate flow
21:33 - Dynamic filtering array data without loops
28:38 - Power Automate demo