![]() Now, run the following command to create an image tagged my-app:1.0.0: docker build. Then, copy and paste the following content into the Dockerfile: FROM alpine Note that you can choose any name you prefer for the directory, but the file must be named Dockerfile. ![]() Open your code editor, create a new directory, and inside that directory, create a file named Dockerfile. Tag a Docker image during the build process We can tag a Docker image during its build process or afterward. If you don’t have Docker Desktop, you can download it from the link: Get Docker. You also need to have Docker Desktop installed and running on your system. To follow along with the examples in this post, you need a code editor. Now that you understand the importance of tagging Docker images, let’s dive into how to actually do it. This can significantly reduce the time and effort needed to diagnose and resolve problems. Easier troubleshooting: A well-defined tagging strategy can help quickly identify the correct version of an application when issues arise.For example, a continuous integration and continuous deployment (CI/CD) pipeline can automatically build, test, and deploy new versions of the application based on the tags assigned to the Docker images. Simplified deployment and automation: A consistent tagging strategy makes it easier to automate deployment processes and manage the application lifecycle.This can help you identify when a particular change was introduced or who is responsible for a specific update. Traceability and accountability: Tags provide a way to track the origin and history of an image, which is important for understanding the evolution of an application.This can be especially useful in cases where a new release introduces a bug or breaks compatibility with other components. Version control: Tagging Docker images allows you to maintain different versions of the same application, making it easier to roll back to a previous version if needed.Here are some reasons and benefits of tagging Docker images: But in a real-world situation where you have a big development team and tens or hundreds of Docker images floating around, it's crucial to have a consistent and meaningful tagging strategy in place. When you're working with Docker images on your local machine, for your personal projects, you might not think too much about their tags. By using this tag, we can pull or run this specific version of the Ubuntu Docker image. In this case, Ubuntu is the name of the Docker image, and 18.04 is the tag representing a specific version of Ubuntu. If no tag is specified, Docker automatically assigns the latest tag to the image by default (more on this later).įor instance, consider the tag Ubuntu:18.04. Tag: This is an optional identifier, commonly used to represent a specific version or variant of the image.Image name (also known as repository name): This is the name of the image.Let’s get started! What Is Docker Image Tag?Ī tag is essentially a label assigned to a Docker image to help identify it. In this blog post, we’ll learn why and how to tag a Docker image. Meaningful and consistent image tags not only help users easily identify and select the appropriate image versions for their needs but also enhances clarity and streamlines workflows within the team. Learning to properly tag Docker images in a production environment is crucial.
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