Why a simple Power Automate flow can quietly consume thousands of Power Platform Requests? The Biggest Misconception One of the biggest misunderstandings in Power Platform is believing that: One Flow = One Request Unfortunately... That's almost never true. A single business action can trigger dozens or even hundreds of Power Platform requests, depending on how … Continue reading What Actually Counts as a Power Platform Request?
Understanding Flow Owners, Connections, Service Accounts, and Application Users The Four People Behind Every Flow Imagine a warehouse. Power Platform works the same way. Identity 1 - The Triggering User This is the person or system that starts the journey. Examples: A user updates a Case. A customer submits a form. An email arrives. A … Continue reading Who Actually Pays for the Request?
Opening Hook Imagine a customer raises a support ticket. "Our Power Automate flow is suddenly slow." As developers, our instinct is usually to open the flow designer. Sometimes one of those fixes works. Most of the time... We are fixing the wrong thing. Because we don't actually understand what happens after a flow is triggered. … Continue reading The Journey of a Single Request
Every few months I see another discussion where someone says: "Dataverse API limit is 6000." "No, it's 40,000 requests." "Actually it's 250,000." "Power Automate allows 500,000." Everyone sounds correct. Yet everyone is talking about a completely different limit. That is exactly why Power Platform limits are so confusing. Microsoft hasn't created one limit. They have … Continue reading There Is No Such Thing as “The Power Platform API Limit”
Here's a scenario that plays out on almost every Power Platform project. You have three approval workflows: one for project proposals, one for leave requests, one for expense submissions. Each one needs to look up the list of approvers from a SharePoint group. So you build that lookup logic into the first flow, then copy … Continue reading Stop Copying Logic Across Flows. Use Child Flows
So far in this series, we’ve explored how to initiate and automate bulk deletions in Dataverse, and how to protect critical records through retention. But how do you know your deletion job actually worked? In Part 4, we break down the tools and methods to track, monitor, and troubleshoot Bulk Delete operations. 1. Meet the … Continue reading Mastering Dataverse Bulk Delete – Track, Audit, and Debug Your Bulk Deletion Jobs
We have covered the what and how of bulk deletion in Dataverse. But not all data is disposable. In Part 3 of this series, we’ll explore when not to delete, how to manage retained records, and strategies for compliance-friendly cleanup that balances performance with governance. Understanding Retained Data For example: In healthcare, patient records must … Continue reading Mastering Dataverse Bulk Delete -Long-Term Retained Data and When Not to Delete
In Part 1 of this series, we explored the fundamentals of using the Bulk Delete feature in Dataverse to purge stale records at scale. In this part, we focus on how to schedule, automate, and monitor these jobs for ongoing success. Scheduling Bulk Delete Jobs Dataverse lets you schedule bulk delete jobs using the UI … Continue reading Mastering Dataverse Bulk Delete – Automating and Monitoring Your Cleanup Jobs
As enterprise applications grow, so does the data they collect. Test records, outdated leads, or inactive cases can clutter your system, slow performance, and inflate storage costs. Microsoft Dataverse offers a powerful yet underutilized feature to address this: Bulk Delete. In this first part of our Bulk Delete series, we explore how to use this … Continue reading Mastering Dataverse Bulk Delete – Simplifying Data Cleanup
Let’s be honest, most of us working in Dynamics 365 or the Power Platform have, at some point, wondered: Why can I see contacts, accounts, and leads so easily in Dataverse, but not the logs, clicks, or telemetry? To answer that, we need to go back to something that quietly powers everything behind the scenes: … Continue reading Understanding the Common Data Model: Why Your CRM Knows Who’s Who, but Not Who Clicked What
