Business Professionals
Techno-Business Professionals
Power BI | Power Query | Advanced DAX | SQL - Query &
Programming
Microsoft Fabric | Power BI | Power Query | Advanced DAX |
SQL - Query & Programming
Microsoft Power Apps | Microsoft Power Automate
Power BI | Adv. DAX | SQL (Query & Programming) |
VBA | Python | Web Scrapping | API Integration
Power BI | Power Apps | Power Automate |
SQL (Query & Programming)
Power BI | Adv. DAX | Power Apps | Power Automate |
SQL (Query & Programming) | VBA | Python | Web Scrapping | API Integration
Power Apps | Power Automate | SQL | VBA | Python |
Web Scraping | RPA | API Integration
Technology Professionals
Power BI | DAX | SQL | ETL with SSIS | SSAS | VBA | Python
Power BI | SQL | Azure Data Lake | Synapse Analytics |
Data Factory | Databricks | Power Apps | Power Automate |
Azure Analysis Services
Microsoft Fabric | Power BI | SQL | Lakehouse |
Data Factory (Pipelines) | Dataflows Gen2 | KQL | Delta Tables | Power Apps | Power Automate
Power BI | Power Apps | Power Automate | SQL | VBA | Python | API Integration
Power BI | Advanced DAX | Databricks | SQL | Lakehouse Architecture
Business Professionals
Techno-Business Professionals
Power BI | Power Query | Advanced DAX | SQL - Query &
Programming
Microsoft Fabric | Power BI | Power Query | Advanced DAX |
SQL - Query & Programming
Microsoft Power Apps | Microsoft Power Automate
Power BI | Adv. DAX | SQL (Query & Programming) |
VBA | Web Scrapping | API Integration
Power BI | Power Apps | Power Automate |
SQL (Query & Programming)
Power BI | Adv. DAX | Power Apps | Power Automate |
SQL (Query & Programming) | VBA | Web Scrapping | API Integration
Power Apps | Power Automate | SQL | VBA |
Web Scraping | RPA | API Integration
Technology Professionals
Power BI | DAX | SQL | ETL with SSIS | SSAS | VBA
Power BI | SQL | Azure Data Lake | Synapse Analytics |
Data Factory | Azure Analysis Services
Microsoft Fabric | Power BI | SQL | Lakehouse |
Data Factory (Pipelines) | Dataflows Gen2 | KQL | Delta Tables
Power BI | Power Apps | Power Automate | SQL | VBA | API Integration
Power BI | Advanced DAX | Databricks | SQL | Lakehouse Architecture

Power Automate flows almost always work during testing.
Triggers fire.
Actions run.
Results look correct.
Then the flow goes live.
Suddenly:
Nothing obvious changed — but behaviour clearly did.
Testing environments rarely reflect reality.
Production introduces:
Power Automate reacts to scale and context, not just logic.
At scale:
Loops hit limits, timeouts, or throttling.
At scale:
Flows run far more frequently than designed.
At scale:
Actions fail due to missing or expired permissions.
At scale:
Flows fail intermittently — not consistently.
At scale:
Failures go unnoticed until users complain.
Teams with stable automation usually:
Automation becomes resilient — not fragile.
Power Automate doesn’t break at scale because it’s unreliable.
It breaks because:
Testing proves logic.
Scale reveals design.
For those looking to understand how Power Automate behaves under real-world conditions — including volume, permissions, connectors, and error handling — the Microsoft Power Apps & Power Automate Course by ExcelGoodies focuses on production-grade automation patterns, not just happy-path flows.
Check the Upcoming batch details
Editor’s NoteThis article reflects recurring issues observed across live Power Automate deployments, where flows behaved correctly during testing but failed or degraded once exposed to real usage and scale.
Insights compiled with inputs from the ExcelGoodies Trainers & Power Users Community.
Power Automate
New
Next Batches Now Live
Power BI
SQL
Power Apps
Power Automate
Microsoft Fabrics
Azure Data Engineering