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Articles and tutorials on .NET Core, ASP.NET MVC, Kendo UI, Windows 10, Windows Mobile, Orchard

  • Deploying Resources to Azure using Azure Resource Manager Templates - Part #3

    In the previous post, I had already explained the steps that are needed for deployment in Azure using an empty template. Let's explore further and see how we can deploy a storage account in Azure using ARM Templates.

    Step 1: Create the template file

    Open any text editor and create a template like the one given below. Save it as a JSON file with name StorageTemplate.json
    What we are doing with this template is that we have defined two parameters named storageName and storageLocation for accepting the name of the resource as well as the location where it needs to be provisioned

    And, under the resource section, we will use these parameters to set the name and the location properties for the storage account. Also, we will set the values for the resource type, kind and SKU

        "$schema": "",
        "contentVersion": "",
        "parameters": {
            "storageName": {
                "type": "string"
            "storageLocation": {
                "type": "string"
        "variables": {},
        "resources": [
              "apiVersion": "2016-01-01",
              "type": "Microsoft.Storage/storageAccounts",
              "name":  "[parameters('storageName')]",
              "location": "[parameters('storageLocation')]",  
              "sku": {
                "name": "Standard_LRS"
              "kind": "Storage",
              "properties": {
        "outputs": {}

  • Deploy to Azure using an Empty Azure Resource Manager Templates - Part #2

    In the earlier post, I went through the basic concepts and terminologies for deploying resources using the Azure Resource Manager(ARM) templates. Please refer it using this link for quick reference. In this post, I will show you how to perform a deployment using an empty ARM template.

    Step 1: Create an empty template

    Create an empty template like the one given below using any text editor. Save as a JSON file with any name you want. In my case, I named it as EmptyTemplate.json

      "$schema": "",
      "contentVersion": "",
      "parameters": {
      "variables": {
      "resources": [
      "outputs": {

    Step 2: Configure Azure CLI

    I am going to use Azure CLI for doing the deployment. Before you start deploying, make sure that your local machine has got Azure CLI installed and configured correctly. Azure CLI is a cross-platform tool is available for download from here, which helps you to connect to your Azure subscription and execute various commands to manage and monitor it.

    The best way to verify it's installed or not by executing the below command.

    az --version

  • Deploying Resources to Azure using Azure Resource Manager Templates - Part #1

    A component provisioned in Azure can contain a set of resources, say for example a Virtual Machine in Azure can have components such as Storage Accounts, Virtual Networks, IP address etc. And most of the times you may want to manage, deploy and delete these interdependent resources as a single entity. Azure Resource Manager(ARM) will help you to work with these resources in a single, coordinated operation.

    ARM supports various tools for interacting with its management layer, the most used ones include Azure CLI, Azure Powershell, REST APIs, and Azure Cloud Shell. The portal gets the newly released functionalities with 180 days of the initial release.

    The tools interact with the Azure Resource Manager API, which then passes it to the Resource Manager Service to perform the authentication and authorization of the request. Once this is completed, the Resource Manager then routes the request to the appropriate service for performing the requested operation.


  • Creating NuGet Package using .NET Core CLI

    NuGet is a great tool in managing your third-party dependencies as well as in distributing your own libraries. The dotnet pack command available in .NET Core CLI toolset will help you to build the project and creates a NuGet package. The output of this command will be a .nupkg file which can be used to push to a public registry like or to any other private registries.

    Let's start with a .NET Core class library project and see how we can pack that using the CLI toolchain

    dotnet new class --name SampleLib

    It will create a new project with one file in C# inside it. Let's create a package using the below command

  • Spin up Docker Containers in a Kubernetes Cluster hosted in Azure Container Service

    In one of the earlier posts, I have explained in details about the steps that need to be performed for running Docker containers in a Kubernetes cluster hosted in Azure. In that example, I used the default IIS image from Docker Hub for spinning up a new container in the cluster. In this post, I will show you how to containerize an ASP.NET Core MVC application using a private Docker registry and spin-off containers in a cluster hosted in Azure using Azure Container Service


    1. Azure Subscription
    2. Azure CLI
    3. kubectl 

    You need to install both the CLI tools for Azure and Kubernetes in your local machine for these commands to work and needs an Azure subscription for deploying the cluster in Azure Container Service.

    Step 1: Create a Kubernetes Cluster using Azure Container Service

    The first step is to create the create the cluster in Azure, for that we will use the az acs create command available in Azure CLI. You need to provide a resource group and a name for the cluster. A resource group in Azure is like a virtual container that holds a collection of assets for easy monitoring, access control etc. The --generate-ssh-keys parameter will tell the command to create the public and private key files which can be used for connecting to the cluster.

    az acs create --orchestrator-type kubernetes --resource-group TrainingInstanceRG1 --name TrainingCluster1 --generate-ssh-keys

    Step 2: Get the credentials for the Kubernetes Cluster

    Now we need to download the credentials to our local machine for accessing the cluster. 

    az acs kubernetes get-credentials --name TrainingCluster1 --resource-group TrainingInstanceRG1

    When the command is executed it will download the key files to your local machine and by default, it will reside in a folder under user folder. 

  • Running Sql Server Linux on a Docker Container

    One of the new features added to the SQL Server 2016 is the ability to run it on Linux. Along with that, they brought in support for Docker and released an official image which is available in Docker Hub. It has already got over 5 million + pulls from the repository and is gaining momentum day by day. Let's see the various steps for setting up a container based on this image.

    Step 1 

    Search for the image in the Docker Hub and pull the official image from the Docker hub

    docker search microsoft

    So the image we are looking for is  mssql-server-linux

    docker pull microsoft/mssql-server-linux

  • Implementing Functional Testing in MVC Application using ASP.NET Core 2.1.0-preview1

    Functional Testing plays an important role in delivering software products with great quality and reliability. Even though the ability to write in-memory functional tests in ASP. NET Core MVC application is present in ASP.NET Core 2.0, it had some pitfalls

    1. Manual copying of the .deps files from application project into the bin folder of the test project
    2. Needed to manually set the content root of the application project so that static files and views can be found
    3. Bootstrapping  the app on the Test Server.

    In ASP.NET Core 2.1, Microsoft has released a new package Microsoft.AspNetCore.Mvc.Testing which solves all the above mentioned problems and helps you to write and execute in-memory functional tests more efficiently. To check how it can be done, let's create two projects - one for the web application and another for our test project.

    Step 1

    Create an ASP.NET Core MVC project without any authentication. The following command will create one in the folder specified by the -o switch

    dotnet new mvc -au none -o SampleWeb/src/WebApp

    Step 2

    Let's add a test project based on Xunit test framework using the below command. As in Step 1, the project will be created in the specified folder

    dotnet new xunit -o SampleWeb/test/WebApp.Tests

    Step 3

    Now we will create a solution file and add these two projects into it. 

    cd SampleWeb

    dotnet new sln

    dotnet sln add src/WebApp/WebApp.csproj

    dotnet sln add .\test\WebApp.Tests\WebApp.Tests.csproj

  • Make Your HTML Pages Dynamic Using Handlebars Templating Engine

    Technologies and methods for designing and developing web pages have come a long way and with a plethora of tools available at one's disposal, getting a minimal website is not a rocket science anymore. As web developers, we often face a dilemma to go for a static site using plain HTML or to go for a dynamic one with some server-side programming stack. Both of the approaches has got advantages as well as disadvantages. 

     If we go for a static one, the advantages are  

    1. Time needed for development is less.
    2. Easy to create and less expertise is needed 
    3. Site will be super fast 


    1. Hard to maintain 
    2. Lot of repetitive work 
    3. Hard to scale 

     And for the dynamic approach, advantages are 

    1. Easy to maintain 
    2. Repetitive work can be avoided 
    3. Scaling is easy and more features can be easily integrated 


    1. Dedicated personal  is needed 
    2. Cost factor increases 

    We can overcome some of the cons mentioned above by applying JavaScript Templating. JavaScript Templates helps to segregate HTML code and content which it is rendering in the browser. This separation of concerns helps to build a codebase which is easy to maintain in the future, modifications can be easily done with minimal disruption to the existing codebase. 

    Some of the most popular JavaScript templating engines are Mustache, Underscore, EJS, and Handlebars and in this post, I am going in detail to show how we can make of Handlebars to generate HTML content from the template. 

  • Creating a Kubernetes cluster using Azure Container Serivce and Cloud Shell

    Azure Container Service(ACS) is a service offering from Microsoft in Azure which helps you to create, configure and manage a cluster of VM's for hosting your containerized applications. It has got support for orchestrators such as DC/OS, Docker Swarm, and Kubernetes. There are a lot of ways in which you can set up ACS in Azure like setting it up directly from the Portal itself or using Azure CLI from your local machine etc. But in this post, I will be using the Azure Cloud Shell to set up the service and the orchestrator will be Kubernetes.

    All the steps shown in this post is executed from the Azure Cloud Shell, it's an online terminal available in the Azure portal itself and can be invoked by clicking on the icon in the top right corner in the portal. Since  Azure CLI and Kuberbetes is installed in the shell by default we can straight away go and execute the commands used in the post

    Step 1

    Whatever resource we creates in Azure like Web Apps, Virtual Machines, IP Addresses, Virtual Machines, Blob storage etc needs to be associated with a resource group. A resource group acts as a container that holds all the resources used by the solution in Azure and it is recommended to keep all the resources that are related to your solution in a single resource group.

    Let's create a resource group first in Azure using the following command

    az group create --name aksgroup --location eastus

    This command will create a new group with name aksgroup in the data center located in East US region

  • How to a create a private Docker registry in Azure

    The containerization technology has been around for some years, but it only came to the forefront when a company called Docker released their toolset which is also called Docker. Just like what shipping containers did to the logistics industry, docker revolutionized the way which we shipped software. Along with the tooling, they also created a public registry called Docker Hub to store the images created using the toolset. It's free and open to all, but in some case such as enterprises building their own proprietary software doesn't want to keep it in a public domain. So to avoid this Docker supports private registries also and it can reside in on-premises servers or in the cloud. In this post, I am going to show how can we create a private registry in Azure, Microsoft's cloud platform and then to use it for pushing and pulling images from it.


    1. An Azure Subscription
    2. Somewhat familiarity in Azure
    3. Beginner level knowledge in using Docker

    I have already written an article about creating an image and a container based on it using Docker, please feel free to refer it if want to get a quick refresher.


    In this post, I will be using the Azure Cloud Shell which is available on the portal to run all the commands. If you are hearing it for the first time, please refer the official documentation here. It basically gives a browser-based shell experience and supports both Bash and PowerShell. You can also the portal or Azure CLI for the same.

    First of all, we will check what all subscriptions are available for you and will set one as default if you have more than one using the following commands

    To list the available subscriptions,

    az account list

    and to set one as default

    az account set --subscription <subscription id or name>

    Creating Azure Container Registry

    Whenever you provision anything in Azure, it will create a set of assets, for example in the case of a VM it will create storage, virtual networks, availability sets etc. It will hold all these assets in a container which is called the Resource Groups, which helps to monitor, control all the assets from a single location. So for our private registry, let's create a new resource group using the following command

    az group create --name BlogSampleResGroup  --location eastasia

    This will create a resource group named BlogSamplesResGroup in East Asia region

    To create the registry, we will use

    az acr create --name BlogSampleResRegsitry  --resource-group BlogSampleResGroup  --sku Basic

    The value in the name parameter will be the name of our registry and will be created in the BlogSamplesResGroup. Azure Container Registry have 3 tiers which provide different pricing and other options. Those are Basic, Standard, and Premium. Please refer the documentation for more details. That's all we need to do for setting up the registry and if you go to the portal now, you can see the newly created registry.

    Pushing Image to the Repository.

    So we have the private repository up and running, now we let's push an image to the repository. For this I will be making use of the hello-world image available in the Docker Hub. I will pull that image down to my local machine using the docker pull command.

    docker pull hello-world

    If you execute the docker images command. it will be shown on the list. To create a container in the local machine using this image, use the below command

    docker run -it hello-world

    The output of the command will be as shown in the image below.

    So, we have verified that the image is good and we can create a container using it. Now let's push that image to our private registry. Before that, I will use the docker tag command to tag the name of the repository that matches our registry name

    docker tag hello-world

    Before you push the image, the first thing you will need to do is to log in to our registry. For that, you will need to execute the docker login command and the parameters such as repository name, username and password are needed and you can get it from the Azure portal itself. You can find this information under Access Keys in Settings.

    To upload the image to the repository, use the docker push command

    docker push

    If you now go to the Repositories in the Registry, you will see our newly pushed image there.