The Problem: Permissions in Canvas App-Initiated Flows When working with the Microsoft Power Platform, one common challenge is managing user permissions, especially in scenarios where users need to interact with resources like Entra security groups but shouldn’t be given elevated […]

The Joy and Frustration of JSON Over the past few weeks and months, I’ve posted quite a few blog posts about working with JSON files, particularly in Power Automate, and interacting with APIs. The content has come from what I’ve

JSON Arrays ,When working with JSON arrrays in Power Automate, the Apply to Each loop is often assumed to be necessary when transforming or manipulating arrays. However, loops are not always the best option and they can lead to performance

Enhancing Your Power Automate Bluesky Posts In my previous blog Automate Posting on Bluesky, I discussed how to use Power Automate to post on Bluesky using their API. Today, we’re taking it a step further by adding links and hashtags

Posting On Bluesky If you’ve been following the buzz in the social media world, you’ve probably heard about Bluesky. Bluesky is the decentralized platform that looks and feels very much like Twitter (erm… I mean X). Posting on Bluesky is

Objects And Arrays What denotes a JSON array and what constitutes a single object? Why when I create an ‘Add a new row’ to Dataverse action does Power Automate sometimes automatically create an ‘Apply to each’ loop, even though I

Required JSON Data Recently, I’ve discussed how you can build flexibility into your flows if the JSON data returned by an API contains a null or an empty string. Today I’ll look at how you can validate that the API

Empty JSON Strings When APIs have no data, generally either a null value or an empty string is returned. Last week in my post Handling Incomplete JSON Data, I discussed how to handle null values. Today I’ll explain how to

Incomplete JSON Data Another day on my JSON journey. Today I’ll explain how you can build flexibility into your flows by improving the format of a JSON schema to  handle incomplete data, in particular when an API returns a null

While reviewing the flows in an environment using the Power Automate Admin Center (PPAC) analytics, it was clear that a small number of flow runs were generating a vast number of API calls! It’s likely that a single errant flow

Dataverse ‘Expand Query’ Feature When working with Power Automate and Dataverse, querying data across related tables is a common requirement. One of the most powerful features to handle this is the ‘Expand query’ option in the Dataverse ‘List rows’ action.

The ‘List Rows’ action in Power Automate retrieves multiple records from a Dataverse table. Frquently you’ll want to filter on a Dataverse lookup column. In this post, I’ll describe 2 ways you can do this and show you how to filter
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