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Category: Application Lifecycle Management

Testing my AI solution with Azure AI Studio

Testing my AI solution with Azure AI Studio

I began this journey into Application Lifecycle Management for AI applications by introducing ALM in AI Studio (Getting started with ALM in AI Studio). Moreover, I provided a brief overview of Azure AI Studio and the definition phase to you. Subsequently, we explored the Azure AI Studio Development Process in depth. I detailed how I developed my example solution. Today, I will proceed to discuss how I’m running a streamlined test process in Azure AI Studio for my AI solution as part…

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Azure AI Studio – AI Development Process

Azure AI Studio – AI Development Process

Are you ready for the next steps? In my last blog post Getting started with ALM in AI Studio I described how-to define an AI use case in Azure AI Studio. I have written down my objective for my use case, prepared my sample data and created a basic prompt for my AI application. Finally, I drafted my solution set. Today, I will continue the application lifecycle management (ALM) process and explain to you how I’ll start developing my example…

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Azure AI Studio – Getting started with ALM!

Azure AI Studio – Getting started with ALM!

Hey there! I love talking about the principles of application lifecycle management (ALM) because it’s a crucial aspect of developing successful applications. I know it might sound boring, but trust me, it’s not! Understanding and implementing ALM from the beginning can simplify the development, usage, and management of your applications. This is especially important for Generative AI applications. I discovered that Azure AI Studio can be a great tool to get started with ALM for your Generative AI solutions. The…

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Professional ALM for Citizen Developers

Professional ALM for Citizen Developers

In one of my last blog posts, I have shown you my ALM process optimized for my Citizen Developers. I have used a solution based on a Power App and some Power Automate Flows to run a fully automated solution export and import in Dataverse. You remember also my simplified process focused on the needs of a Citizen Developer: This slim process is great for Citizen Developers to get started with ALM. But I’m a Pro Developer – I need…

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Application Lifecycle Management for PowerApps: Citizen Developers

Application Lifecycle Management for PowerApps: Citizen Developers

It took me a while to realize, my Citizen Developers need a simple approach of an Application Lifecycle Management process. In detail, I can’t talk about Git repositories & branches, Azure DevOps, build and release pipelines. This is to technical and out of scope for my Citizen Developers. In conclusion, a classic Citizen Developer ALM process must be simple. For instance, as a Citizen Developer, I develop my Power Apps and Power Automate Flows. Afterwards, I create my release by…

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Let’s start with ALM!

Let’s start with ALM!

Are you a Citizen Developer and new to Microsoft Dataverse? Have you just created and shared your first PowerApps and Power Automate flows? Then the whole chapter of application lifecycle management is certainly completely new to you. That’s okay, because as a Pro Developer, it’s my responsibility to get you on the right track! In my session, I will explain why it makes sense to have a clear environment strategy. Furthermore I’ll show you, how I use solutions to pack…

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Application Lifecycle Management for PowerApps: Tools

Application Lifecycle Management for PowerApps: Tools

Manual work vs. automation? I am definitely someone who automates as much as possible! For this reason I am always looking for Cmdlet’s or suitable APIs. Most important for me is that I can use these tools and scripts for build automation and application lifecycle management. In Dataverse, my manual work is importing and exporting solutions when I transport my canvas apps between my DEV, TEST, and PROD environments. In addition, I want to store the source code of my…

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Application Lifecycle Management for PowerApps: Solutions

Application Lifecycle Management for PowerApps: Solutions

Once you have started setting up DEV, TEST and PROD environments in Datavers, the next big question arises. How can I transport all my stuff to the next deployment stage? It’s not just my model-driven or canvas apps. I have to take care of their dependencies as well, of course. There are all my used cloud flows, custom connectors, Dataverse tables and much more. In the beginning, as a citizen developer, I transferred every part manually. This means, I exported…

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Application Lifecycle Management for PowerApps: Environments

Application Lifecycle Management for PowerApps: Environments

My journey with Dataverse started as citizen developer. I discovered this funny new environment and used canvas apps for cool & portable demos. After a while, my demos, prototypes, and tiny apps became a productive status and started to grow. I think each of us knows these problems and the resulting questions. I faced new challenges: How can I maintain my apps and how can I continue adding new features? Furthermore, how can I stop breaking existing features? Well, the…

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