In this session, you’ll learn 1. How to automate your portal deployment using Power Apps CLI. 2. Significance and Use of deployment profile in portal deployment. 3. PowerApps Portals Build Tools – A FREE Azure DevOps Extension that empowers developers to enable CI/CD (Continuous Integration/Continuous Deployment) of portal configuration. You can use this tool to check-in the portal configuration to source control and move portal configuration to any environment using Power Apps CLI.
As professional developers, we are encouraged to leverage Power Automate flows as our first preference tool within the Power Platform for any automation needs. However, this approach can pose potential challenges when it comes to adopting an automated ALM strategy involving Azure DevOps, which do not surface when you implement Azure Logic Apps instead. This session will compare and contrast the two different experiences, highlighting the advantages and disadvantages of both routes and providing some recommendations based on experiences working with both toolsets. The session will also be open to audience participation so that experiences can be shared and discussed further.
In this session, we will bring your ALM to the next level. This includes automated tests, setting Connection References and Environment variables during deployment as well as deploying both Web Resources and Plugins in your pipeline. The beginning of the presentation will level all of us to a common understanding of for example Deployment options in Dynamics 365 (MDA) as well as a Basic ALM process. After the session, you will have a basic understanding of how to add complexity to your ALM process for Dynamics 365 (MDA) in Azure DevOps using the PowerApps BuildTools.
In this session, you will learn how to set up your Dataverse repository. We will talk about the folder structure, plugin projects as well as TypeScript set-up. The structure will include places to store other parts like unpacked solutions or Azure components.
Enterprise-scale application development needs to rely on ALM techniques to improve time to value, stability and quality by reducing manual testing and deployments. In this session, you will learn how an enterprise mix skilled team rely on Azure DevOps, GitHub, and open-source tools to produce a scalable, quality Dataverse solution with automated testing, continuous integration and deployments in a repeatable manner. Demonstrations of shift-left techniques, behaviour-driven development, and framework project generation.