Then you know that we have the default learning on https://learn.microsoft.com, but did you know that most of the content/documentation is stored on GitHub? As well as some specific Partner related resources….
Looking at how the url is constructed, you udnerstand that there’s additional content to be found here.
Following this url you can find Microsoft Partner resources around what they call: Academies and Partner Showcases.
Most interesting would be the Academis covering: – AI & ML – Azure Data – Developer Velocity – Dynamics 365 – Azure Infrastructure – Modern Analytics – Partner Onboarding – Security – Teams – Nonprofit Resources
No worries, this recent blog post from the Azure Integration Services gives you all the possible approaches and examples. Another hidden gem that can save you some time when architecting these types of challenges.
Main questions answered?
How many Azure Open AI (AOAI) APIs should I create?
How do I version AOAI APIs?
How do I support consumers with different content-safety and model requirements?
How do I restrict throughput per Consumer, per deployment?
How do I scale out AOAI services?
How do I log all prompts and responses including streaming, without disruption?
What other value add services should a platform offer consumers?
My personal note, don’t underestimate the power of Azure API Management. During my recent projects in terms of B2B and/or B2C interactions and having Dataverse/Dynamics 365 in the back, it was already a productivity saver and an essential proposed component of the architecture. With the introduction of new Generative AI services, it can play even a more central internal role.
Continuing the Application Insights topic, on some engagements we propose to leverage Azure API Management in front of Dataverse Custom API’s or Azure Logic Apps or Azure Functions.
Setting up APIM is not that hard, but getting the next level insight on what’s happening via Application Insights can be a bit more tedious (if you don’t use Application Insights every day of the week which is the case for myself 😊).
So, I recently found this Azure API Management Hands on Lab including a chapter on how to setup and configure the Application Insights integration. Have fun with it!
Once you start pouring telemetry data from Dataverse into Application Insights, it’s time to review what’s happening. As we aren’t Application Insights experts, it’s always good to have some pre-defined examples. Well look no further!
This is one that I forget regulary, meaning I know that this has to be done to ensure my Service Connection in an Azure DevOps Pipeline (classic or yaml) can for example execute a Dataverse backup.
So, first create the App Registration on Azure Entra ID.
Add the App Registration as Application User onto the Dataverse environment
In PowerShell, register the Application user as a “Management Application”:
Once this is done, the SPN/Application User, Management Application, Application Registration (what’s in a name….) can execute these more administrative actions.
