Build pipelines in Azure DEV/OPS for dockers
What is Microsoft Azure?
It is a software that is a cloud management service developed by Microsoft and first released in February 2010. It has many applications in daily life. Mostly, this particular tool is used in cellular devices or cell phones for the management and security of data. It has a lot of problems related to computer architecture and also contributes to the IoT "Internet of Things." However, the software has two types of models related to development. It has a classic deployment model as well as an Azure resource manager. For single-tasking traditional deployment model is put to better use. But for group tasking, Azure resource manager is used.
What is Azure DevOps?
Azure DevOps is a server, also known by the names of "Team Foundation Server" and "Visual Studio Team System." However, it was first to build by Microsoft. Thus, it has many high applications, which include reporting, requirements management, testing, as well as lab management. Therefore, in short, it covers all the claims related to Microsoft Azure.
What are Dockers in Azure DevOps?
The purpose of dockers in azure is to manage the containers of Linux as well as Windows. Hence, it allows you to work with containers of windows as well as Linux quickly. The purpose of boxes is packaging as well as running of Windows and Linux applications within a mixture of different networks within the particular cloud. In short, boxes are an excellent platform for developing as well as deploying applications. Docker image in azure DevOps also has a lot of advantages. It guarantees a return on investment and is also cost-saving. It also contributes to being the necessary standard and is also efficient and productive for many users. It is used in many mobile applications such as Facebook, Instagram, Twitter, Twitch, Spotify, Pinterest, and many other applications where it contributes as a data manager regarding essential cloud services. In daily life, a docker image is used in most of the applications regarding everyday life. It runs in the background processes of the claims being run on your computer. It also runs on your friend's computer whenever he is running any means or sharing something with your system regarding cloud management. Docker image is also safe for production as it is in use of more than a thousand companies worldwide. It cannot spam the user in any way and has security in the form of layers.
Building pipelines for dockers in azure DevOps is comparatively an easier task than other applications. First of all, you have to create a GitHub account for free or don't signup if you have already signed in. You should also have an azure account. If you don't have one, then you can easily signup for free.
However, it is also recommended to use the same email address for all accounts. It would contribute to easier management.
First of all, you should create a container registry. It can easily be created by signing into your azure portal and selecting the cloud shell button in the corner of the screen.
After creating your container registry, sign in to your azure pipelines account. Sign up an account if you don't have one. When you sign in to your account, the azure DevOps dashboard will appear on your screen. Create your project from the screen.
After creating your project, create your pipeline. For creating your pipeline, go to the pipeline option on your dashboard after creating your project. Then select the new pipeline when you are asked about the source code while going through the wizard select Git Hub. Also, ensure that the Multi-Stage pipeline experience is turned on.
Now, you will sign into your Git Hub account, thus sign in and also enter your credentials. Then a menu appears where you can select your repository.
Now, your Git Hub account will appear, and another menu will appear for installing the Azure pipeline app. Select approval and install it. Then the configure tab appears, select docker in the configuration tab. Now choose the subscription where your registry is placed. After that, select "validate and configure."
In this way, your new pipeline is created, thus observe the YAML of the pipe. Then select save and run. You can also change the commit message if needed, and you can add another pipeline to the respective registry. After going through all the procedures, select save, and run.
For watching your pipeline in action, use the build job. Previously, the pipe was made using the docker container template. Thus, the build option uses the build job for pushing the docker image to the registry of the container. The commands used in the building are readily available online. Copy the code in the YAML box. After copying the code, you can see your pipeline run successfully. After being finished, you can clean your resources by using the command az group delete.