PL400 :create a package for deployment(Implement application lifecycle management (ALM))

The solution is the core component for shipment of changes to Dynamics 365 Customer Engagement, but Microsoft offers a number of tools to make developer's life easier and the package is one of them. In the package preparation step, we are aiming to define the package as a set of solutions, data and corresponding actions.

Packages allow us to take multiple solutions and create installation packages with configuration data.



A package can consist of any or all of the following:

  • One or more Dataverse Solution files.
  • Flat files or exported data files from the configuration migration tools.
  • Custom Code that can run during or after the package is deployed to Dataverse environment.
  • HTML Content specific to the package that can display at the beginning and end of the Package deployment process.

Pre-requisites :

  • Ensure that we have all the solutions and files ready that we want to include in the package.
  • Microsoft .NET Framework 4.5.2
  • Microsoft Visual Studio 2012 or 2013
  • NuGet Package Manager for VS2012 or VS2013
  • Microsoft Dynamics CRM SDK templates for Visual Studio that contains the package template.
Create a Package:

Step 1: Create a project using the template 
Step 2: Add files to the project.
Step 3: Update the HTML files.
Step 4: Specify the Configuration values for the package
Step  5: Define Custom Code for package

Package Deployer tool is used to create deployment packages to deploy complex solutions from one Power Platform environment into another.

The tool can deploy:

  1. In one single deployment process
  2. Multiple Power Platform Solution packages.

We can use the Package Deployer Tool (packagedeployer.exe) to deploy package in the following ways:

  • User package Deployer tool to deploy packages.
  • Use Package Deployer tool at the Command line.

Comments

Post a Comment

Popular posts from this blog

Powering Up Your Analytics: Exploring Power Query in Power BI

Image
Data is a valuable asset that has a profound impact on almost every aspect of modern life. Its proper collection, analysis and application can promote innovation, improve efficiency and solve complex challenges in various sectors. In data processing, ETL is a comprehensive process that includes data extraction, transformation, and loading, while Power Query is a specific tool that facilitates the "extract" and "transformation" aspects of ETL, allowing data to be collected and analyzed. Permission is granted to process. And reporting. is ready. It becomes easy to do this. Microsoft's ecosystem of products. Power Query is a data transformation and data preparation engine. Power Query is available in Microsoft Excel and Power BI. Power Query provides a user-friendly and intuitive interface for data professionals and analysts to access and manipulate data from various sources without the need for extensive coding or scripting. It allows users to connect to a wide ra
Read more

Power App Component Overview : Canvas App vs Model-Driven App

Image
The Power Platform is a suite of low-code/No-code tools and technologies developed by Microsoft and Power App is integral component of Power Platform. Power App is platform that enables users to build custom web and mobile applications with a visual interface and minimal coding. The platform support various data sources, including Microsoft 365, Azure Service, and many other, enabling users to integrate and interact with their existing data and systems. In Microsoft's Power Apps, there are two main types of apps that we can create: Canvas Apps: Canvas apps provide a blank canvas where you can design highly customizable applications with a drag-and-drop interface.  Model-Driven Apps: Model-driven apps are built on top of the Dataverse, which provides a set of pre-built data entities and business logic. There are few key technical difference between Canvas App and Model Driven App: During the usability analysis, these high-level technical differences need to be considered. The choi
Read more

Exam PL-400: Microsoft Power Platform Developer

 Create a technical design (10-15%) Validate requirements and design technical architecture design and validate the technical architecture for a solution design authentication and authorization strategy determine whether you can meet requirements with out-of-the-box functionality determine when to use Logic Apps versus Power Automate flows determine when to use serverless computing, plug-ins, or Power Automate determine when to build a virtual entity data source provider and when to use connectors Design solution components design a data model design Power Apps reusable components design custom connectors design server-side components Describe Microsoft Power Platform extensibility points describe Power Virtual Agents extensibility points including Bot Framework skills and Power Automate flows describe Power BI extensibility points including Power BI APIs, custom visuals, and embedding Power BI apps in websites and other applications describe Power Apps portal extensibility points incl
Read more