Configure the Docker task (e.g., Remove Clients Build Image after Pushing) as follows: Command: Enter the following command line, and replace the image-name with your image name (e.g., dockerregistry.australiaeast.cloudapp.azure.com/clients:$(Build.BuildId)): Step 18. Once the build is done, click on the build step Inspect Clients Container to view the inspection results for Clients container. Repeat the above steps for Order and Database components if you wish to practice more. Go to your VSTS accounts homepage (e.g., https://.visualstudio.com). Open up another terminal and verify that the private Docker registry is running by executing: The output should look similar to the following: Note: The names all start with dockerregistry_. Replace the existing value with the repository settings you got from the VSTS. The blue button mention is not visible in this screenshot: Azure DevOps - Configure Pipeline Select Container Registry. You should see output similar to the following: The mongo image appears in your Azure Blob storage. Click on the Artifacts link just below the build histogram to open the artifacts. Enter the URL of your private Docker registry and login credentials created in previous task. Add a build step to build the Clients Docker image. In this exercise, you are going to create a Docker Registry in Azure as well as a VSTS build that will build two Docker container images and publish then to the registry. Click Create when you are done. This increases the tag of my image automatically every time when a build runs. Click the pencil icon to enter your preferred task name. As the command use Build an Image. In the configuration window, type in compile as the Maven Goal then press the Run button. Run the following command in a terminal: You may have to reload the Maven project to update the plugins and dependencies. 2. If needed, select the appropriate Service Plan and click Review + Create. Nginx container is configured to use SSL and will look for SSL certificate and key files in /etc/nginx/conf.d folder. The code is hosted in Azure DevOps, but almost any -accessible from Azure DevOps- version control system will do. If you are encountering some issues or questions during this Hands on Labs, please open an issue by clicking here, Create CI Infrastructure Using Python, GitHub, and Travis CI, Create a Simple REST API and Perform Load Tests Using Locust, Configure Azure DevTest Lab VMs using Chef, Continuous Integration with Visual Studio Team Services, Continuous Deployment with VSTS and Local Agent on a Linux VM, Continuous Deployment with VSTS and VSTS Hosted Agent, Auto-Scale and Load Testing against a Website endpoint, Application Performance Monitoring with Application Insights, Create a Container Image and Run the Container, Getting Started with DevOps on Azure Stack, FaultinjectioninAzureContainerServices, Continuous Integration and Continuous Deployment, Application Monitoring and Feedback Loops, Architecting Distributed Cloud Applications. The guide also requires an account on Azure and Azure DevOps. Select Docker Registry for your service connection. Click on + New to create a new Build definition. After the yml file is created, delete its content. This may look something like: Copy the maven settings file from the MyShuttleCalc project (you updated this file in another lab to include the authentication settings for the Maven package feed). The available version control services are shown below: Azure DevOps - Configure Pipeline Choose Repo, Azure Pipelines offer numerous templates to choose from for building, testing and deploying your app. Open a browser and navigate to the Azure Portal. Toggle the Advanced Settings toggle and change Tag Sources to On Success. To begin, lets change to ~/docker-registry/nginx folder and get ready to create the certificate: Generate your own certificate and be sure to use the DNS name of your Ubuntu VM (e.g., dockerregistry.australiaeast.cloudapp.azure.com) as CN: The certificate we just generated isnt verified by any known certificate authority (e.g., VeriSign). It also demonstrates how to tag, push and pull your images. Click VCS -> Commit. The minimum changes required are to select your Subscription and Resource group, and of course choose Docker Container as Publish. Set up a Docker registry container. Before you can do that, you have to add a stage and a job. This allows you to not have to manage a storage account for the images (similar to managed disks with VMs). Run: Create a running instance of the Docker image. Configure the task (e.g., Build Clients Image) as follows: Step 12. For more details on creating a Pipeline, see my post Build .NET Core in a CI Pipeline in Azure DevOps. The image below shows exactly the steps: Azure App Service - Search, The Create Web App form will open with a few selections to be made. Set up a Docker Nginx container, and link it up to Docker registry container. Enter your details, and then click Create: Once the storage account is created, click Access Keys setting, and then copy your storage account name and access key: By hosting your Docker Registry instance on Azure VM and storing your images on Azure Blob Storage, you can have several benefits, such as security, performance and reliability. In this HOL, we included steps on how to export the certificate from Docker registry and import it to the client machine. If it's about Gitlab, Jenkins, Chef, Ansible, AWS, Azure, Kubernetes, Software Engineer then it belongs here. Click on it, but before we go the final Review tab we will need some intermediate configuration to do. Select Default as Queue, master as Branch, and then click OK. Lets create a new storage account to store Docker images, please sign in to the Azure portal. Find this resource and go to Access Keys to enable the Admin user, as shown below: Azure Container Registry - Enable Admin User, Read more information about the Admin Account in Microsoft Docs. Select the source code location and then any template. Now we can push this image (e.g., dockerregistry.australiaeast.cloudapp.azure.com/mongo) to the private Docker registry: This will take a moment to upload to the registry server. This tool is really easy to use and it allows to have a Docker host up and running in a few minutes! Type docker into the search box and then click the Apply button next to the Docker Compose task. Since this is a very simple example, I only need one for the image name. Select the Basic pricing tier. To begin, please connect to the Docker host and install these pre-requisites. Now that we are done setting up an Azure Pipeline, go back to portal.azure.com and follow the next steps to setup the last part, an Azure App Service. Docker Compose allows you to write one YAML file to set up multiple containers and manage communication between them. This task only runs when the previous task was successful and when the build is not triggered by a pull request. Once Docker host is up and running, lets connect to the machine by executing: Step 4. In the same Docker build task, add a build step to run the Clients Docker image. This exercise uses a team project named jdev-labs, though your team project name may differ. Set up a Docker build agent that runs on Docker host. Before I create the new CI Pipeline for building the Docker image, I set up a connection to Docker Hub to push my image to its repository. Lets do an example using mongo official image from Docker Store. Set up a Secured Continuous Integration (CI) with Visual Studio Team Services (VSTS) Integrate Docker images and containers into your DevOps workflows using Docker Integration for Team Services. The PartsUnlimitedMRPDocker Git repository will be empty, so copy the Clone URL of the VSTS repository to your clipboard and paste it into a text document for use later: Open your preferred command line tool, and change to PartsUnlimitedMRPDocker directory created earlier. On the Hub menu, select New -> Storage -> Storage account. If you click on one of the repos, you will see a latest tag as well as tags for each build number. Lets drop your certificate and key files in that folder. Type in the project name as PartsUnlimitedMRPDocker and select Git as the version control, then click on Create project: After the wizard creates your new team project, navigate to the PartsUnlimitedMRPDocker team project and click on the Code tab on the upper-left. You can do this by clicking View -> Tool Windows -> Maven and then clicking the reload button (the top-left icon in the Maven project view). Although the admin account is designed for a single user to access the registry, mainly for testing purposes, in order to be able to use the current registry from an App Service and select image source and Continuous Deployment, the Admin user must be enabled. Click Explore next to the drop artifact. Select the one and you will go to the next step. The Copy Files task copies the following artifacts into this directory so that they are available for Release (which you will create in a later lab): Under the list of tasks, click Add Task. If you want, you can review your pipeline YAML file, and click Save and Run. Create a new PartsUnlimitedMRPDocker team project by clicking on the New button under Recent projects & teams. I will give it a name, set a trigger to run the pipeline every time a commit is made to master and use an Ubuntu agent. After signing in, follow the next three steps to setup and configure Azure Container Registry correctly: Use the convenient search bar on top to search for Container Registry. I define a name and set the tag to the build id using the built-in variable $(Build.BuildId). Your drop should look like this: Navigate back to the Azure Portal and find your Azure Container Registry. In my last post, I showed how to build a .NET Core Microservice inside a Docker container. We will return in to Azure after finishing and pushing one image successfully. Click the Queue button in the dialog and then click the link in the green bar that appears at the top to view the live logs for the build run. Remove: Clean up the build environment by removing images and containers. You can do this with the following code: In the next section, I set up the variables for my pipeline. The volumes section provides a way to map files in Nginx container to the host machine. Step 9. You can do this by right-clicking on the myshuttle working set/project, then selecting Maven -> Update Project. Add a build step to remove the build image on Docker host after pushing to the private Docker registry. Enter the following commands, and replace clone-url and commit-message with your Clone URL and message: Folders and files are now added into in your VSTS Git repository: Step 8. You can also easily edit a task by clicking Settings right above the task. Hold on tight for a few minutes, success is very close and it looks like this: Azure DevOps - Configure Pipeline Select Container Registry. Although its a process with many steps and potential pitfalls, if you do it once, you will realize that is more about configuring and less than anything creative! Change the name of the build to MyShuttle2. There is only one last step, this one, to configure Continuous Deployment. The Name will be part of your azurewebsites.net url, you will need it after the next step! Step 20. For now, you only need one. The output using docker-machine is shown below: This is another way to deploy a VM running Docker on Azure. You should see a db and a web repository. You might be asked to sign in to the Microsoft Account you use in Azure to retrieve the available container registries. Navigate to the **PartsUnlimitedMRPDocker** team project in VSTS. It automatically set up a link to the registry container. Add a build step to push the Clients image to your private Docker registry. You can find the source code of this demo on GitHub. From the top toolbar of IntelliJ, click Build -> Build Project and make sure there are no errors. The pipeline ran successfully and if I go to my repository on Docker Hub, I should see a new image with the tag 232 there. The command indicates that I want to push an image and I set the image name from the previously created variable. Log in to Docker registry from a client machine by executing: Enter the username and password you created earlier, and you should see the following message: If you use a self-signed certificate, please add the SSL certificate you created in Step 9 to this client machine. In this task you will update the pom.xml file for the MyShuttle2 application so that it can consume the MyShuttleCalc package from the Maven package feed. In the image below you can see a sample of how that page might look like. Due to the mapping we configured earlier in docker-compose.yml file, the /etc/nginx/conf.d folder inside Nginx container is mapped to the folder ~/docker-registry/nginx on your host machine. Paste the following contents at the beginning of docker-compose.yml file and save it: The interesting bit here is the links section. Deploy an Ubuntu VM with Docker Engine. Ensure the Team Project is selected as the Repository source, the appropriate repository (created in the previous step), and tick the Continuous Integration checkbox, select Default as the Default agent queue, then click Create. Step 10. Lets do this locally on the host machine so that we can use Docker from the Docker registry server itself: Step 10. Docker task enables you to build, run, push Docker images or execute other operations offered by the Docker CLI. Step 11. The following tools are used: Push: After inspection, push your image to the private Docker Registry created in previous task. The final version of docker-compose.yml file should look similar to the following: Copy and save the following contents into registry.conf file, and change the value of server_name to the public DNS name or IP of your Ubuntu VM (e.g., dockerregistry.australiaeast.cloudapp.azure.com): Step 8. For this example, I use Docker Hub because it is publicly available but you can also use a private one like Azure Container Registry (ACR) or even a private Docker Hub repository. The flow that we will setup is explained as follows: Step 1. On the Docker registry server, view the certificate: Youll get output that looks something like this: Copy the certificate contents to your clipboard. You can use whatever name you want for your stage and job. Once downloaded, create a new folder vsts-agent, and extract the archive in this folder: To be able to authenticate the Docker build agent to your VSTS account, you need to get a personal access token (PAT). Pull the mongo image: Tag an image with your registrys domain name (e.g., dockerregistry.australiaeast.cloudapp.azure.com/mongo) in order to push it: Step 16. Here I set a display name, the container registry Container Registry which means Docker Hub, and select my previously created service connection Docker Hub. On the next page, select Docker Hub as your Registry type, enter your Docker ID, password and set a name for your connection. After a few moments, your registry will be created. Step 2. If you want better versioning of the Docker images, use one of the many extensions from the marketplace. This article will show you how to develop a microservice in NodeJS and create an Azure DevOps pipeline to continuously build/push its docker image to Azure Container Registry. Choose Azure Container Registry as the image source, choose the registry we created before and then the image. Step 9. An automated CI pipeline to build and push new images is an integral point of every DevOps process. Then click Verify and save. You know how to use Ubuntu, PuTTY if you are using Windows and Docker, Complete the Dockerizing Parts Unlimited MRP lab, An active Visual Studio Team Services (VSTS) account, You know how to set up Continuous Integration (CI) with Visual Studio Team Services (You dont? Click on Builds to go to the Builds view. Visit dev.azure.com, create a new project (or select an existing one) and follow the next steps to create the pipeline: First step, creating a pipeline! Click on Repositories. This post showed that it is quite simple to automate everything and create a new image every time changes are pushed to the master branch. Set the Contents property to: The Publish Build Artifacts task publishes everything in the artifact staging directory. In my last Add Docker to an ASP .NET Core Microservice, Create a Docker Image in an Azure DevOps CI Pipeline, Set up a Service Connection to Docker Hub, Build .NET Core in a CI Pipeline in Azure DevOps. 1. For details on installing Docker Toolbox, see the macOS installation instructions or Windows installation instructions. Add a build step to scan security vulnerabilities using Docker Bench for Security. Easiest step of all since you are done and the moment of truth is here! If you need to create a self-signed certificate, please follow this instruction. This Docker extension adds a task that enables you to build Docker images, push Docker images to an authenticated Docker registry, run Docker images or execute other operations offered by the Docker CLI. Configure the Docker task (e.g., Inspect Clients Container) as follows: Command: Enter the following command line, and replace the container-name with your container name (e.g., clients): Step 14. In Chrome, navigate to your VSTS account and team project. Step 13. Create a directory to store Nginx data: Re-open the docker-compose.yml file in the ~/docker-registry directory: Create a new Docker Nginx container based on the official Nginx image. Go to your VSTS accounts homepage (e.g., https://.visualstudio.com). Note: Docker Machine is installed along with other Docker products when you install the Docker Toolbox. You can also find the code of the CI pipeline on GitHub. For example, in this guide the url that the app will go live will be AspNetCoreDockerDemo.azurewebsites.net (pascal case is just for easy reading of course). Open Chrome and browse to http://.visualstudio.com (where youraccount is the account you created in VSTS). Step 3. The correct template is shown in the image below: Azure DevOps - Configure Pipeline Docker, Fourth and fifth steps could easily be one, since in this one you will just need to select the desired subscription. Step 2. Click Push on the prompt. This document describes how to set up and secure your own private Docker registry on Microsoft Azure. This exercise assumes you have completed the exercises to create a Team Project and have set up the Docker private VSTS agent. Its time to start up an instance of your private Docker registry: Step 12. Add a commit message Updating feed settings. Click the drop-down on the Commit button and select Commit and Push.

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