Skip to main content

Featured post

XM Cloud content sync from prod to uat or UAT to prod step by step

When working with Sitecore, it’s common to need content synchronization across environments. Today, I’ll walk you through the steps to sync content from Production to UAT/TEST and vice versa. Steps to Follow 1. Set Up Your Workspace Create a folder on your computer where you will manage the script files and exported data. Open the folder path in PowerShell to begin scripting. We need to run some scripts in PowerShell to update the folder with the basic requirements for syncing content. PS C:\Soft\ContentSync> dotnet new tool-manifest PS C:\Soft\ContentSync> dotnet nuget add source -n Sitecore https://nuget.sitecore.com/resources/v3/index.json PS C:\Soft\ContentSync> dotnet tool install Sitecore.CLI PS C:\Soft\ContentSync> dotnet sitecore cloud login If the above error occurs, you will need to run a different command to resolve the issue. PS C:\Soft\ContentSync> dotnet sitecore init now, Again run above command to open and authenticate with XM Cloud. It will be there a...
Post a Comment

How to implement CI CD in azure for Sitecore solutions

 How to implement CI CD in azure for Sitecore solutions


  1. Set up the Azure DevOps organization and project: Create an Azure DevOps organization and a project where you will store your code, pipeline definition, and build artifacts.
  2. Source control: Set up a source control repository, such as Git, to store your Sitecore solution code.
  3. Build definition: Create a build definition that compiles your Sitecore solution, packages it, and stores the artifacts in Azure DevOps.
  4. Release definition: Create a release definition that deploys the build artifacts to your Sitecore environment, either on Azure or on-premises.
  5. Continuous integration: Configure continuous integration (CI) by setting up triggers on your source control repository that trigger a build definition whenever changes are committed to the codebase.
  6. Continuous deployment: Set up continuous deployment (CD) by triggering a release definition whenever a new build artifact is available.
  7. Deployment environment: Choose the deployment environment (such as Azure App Service, Azure Web Apps, or Virtual Machines) that best fits your Sitecore solution.
  8. Deployment pipeline: Configure the deployment pipeline to deploy your Sitecore solution to the chosen environment.
  9. Monitoring: Monitor the pipeline execution and track the deployment progress.
  10. Automated testing: Add automated testing to your pipeline to validate the deployed solution and catch issues early in the deployment process.

It's recommended to follow Sitecore's official documentation and best practices for implementing CI/CD for Sitecore solutions.

Top of Form

 


Comments

Post a Comment

Popular posts from this blog

Socket Programming in Python

  Example of socket programing in python. Here's a simple example of socket programming in Python: Server Side Code import socket # Create a socket object serversocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)  # Get local machine name host = socket.gethostname()                            port = 9999 # Bind to a port serversocket.bind((host, port))                                   # Listen to at most 1 connection at a time serversocket.listen(1) print("Server is ready to receive") while True:     # Establish a connection     clientsocket,addr = serversocket.accept()           print("Got a connection from", addr)     clientsocket.send(b"Thank you for connecting")     clientsocket.close() Client Side Code import socket # Create a socket obje...
Post a Comment
Read more

Homework 3.3 MongoDB for DBAs

MongoDB Homework 3.3 for DBAs. She below image for the answer of homework 3.3.
Post a Comment
Read more

How do I start learning on AI

To start learning AI, you can follow these steps: Choose a programming language: Python is the most popular language for AI and machine learning, but you can also use R or other languages. Get familiar with basic mathematics and statistics: You should have a basic understanding of linear algebra, calculus, and probability. Learn about artificial neural networks: Neural networks are the building blocks of deep learning and are essential to understanding AI. Get hands-on experience: The best way to learn AI is by working on projects. There are many online resources with tutorials and open-source projects to get you started. Participate in online communities: AI has a thriving online community where you can ask questions, share your work, and connect with others. Keep up with the latest developments: AI is a rapidly advancing field, and it's important to stay up-to-date with the latest developments and trends. Remember, learning AI requires time, effort, and practice, but it is a valu...
Post a Comment
Read more

AngularJS Best Practice

Best Practice to write AngularJS Program code. This is very useful code to communicate with webApi or other any any services. You may learn here more about different services. var commonModule = angular.module('common', ['ngRoute']); var mainModule = angular.module('main', ['common']); commonModule.factory('viewModelHelper', function ($http, $q, $window, $location) { return MyApp.viewModelHelper($http, $q, $window, $location); }); commonModule.factory('validator', function () { return valJs.validator(); }); mainModule.controller("indexViewModel", function ($scope, $http, $q, $routeParams, $window, $location, viewModelHelper) { var self = this; $scope.sessionName = "ASP.NET MVC with Angular JS"; $scope.speakerName = "Shashi Keshar"; }); (function (myApp) { var viewModelHelper = function ($http, $q, $window, $location) { var self = this; self.modelIsValid = true...
Post a Comment
Read more