Past Meetings

Power Apps portals provides an easy to use interface to allow you to interact with Dataverse information on an externally-facing website. Obviously, this provides challenges to ensure that the data being surfaced on a portal page is secure and only available to those who are allowed to see it. This session provides a high level overview of the Power Apps portal security model and talks about steps you can take to ensure that your Dataverse information is properly protected with working with Power Apps portals.

In this session, you will learn how to create a teams status indicator light using NodeJS and a Raspberry Pi. In the course of the session, we will assemble the Raspberry PI and install all needed software as well as look at the NodeJS application.

In this session, we will create a project setup for a TypeScript implementation to be used for Dataverse. This will include EsLint, Prettier, typings and react.

After the session, you will know how to set up a TypeScript project and write your first TypeScript code.

In this session, we will discuss the concept and use of virtual tables, why are they relevant, when should they be used and a demo of them working. We will also briefly talk about the next upcoming feature "Virtual Connector Providers" currently in private preview within Microsoft. Once it is out there, it will allow us to use connectors to streamline data to Dataverse. I'll not brush bits in this session so both Pro and Citizen developers are welcome.

How many times have you written complex plugins and needed to gain insights into usage/bugs/performance issues/etc? Plugin trace log is a decent feature to get granular for debugging purposes in development environments, but is severely limited for investigating production scenarios given lack of searchability, reportability, and usability, as well as for macro-level analysis like usage and performance trends. Enter App Insights Monitoring of Plugins, where you can have a dedicated monitoring tool that is fully queryable and massively scalable to the largest production workloads.