To avoid these problems, it’s best to specify the exact tag that you want to pull when running the “docker pull” command. This can cause problems if you are relying on the “latest” tag to always be up-to-date. For example, at the time of this writing, the latest tag for the nginx image is 1.13.3, which was released over six months ago. The “latest” tag is not necessarily the most recent version of the image. However, what exactly is the “latest” tag? The answer may surprise you. When you run the command “docker pull” without specifying a tag, Docker defaults to pulling the “latest” tag. Know what you are pulling from Docker Hub This will make it easier for people to understand and use your images. For example, if you’re using Semantic Versioning, you should use the same tagging scheme for all of your images. It’s also a good idea to keep your tags consistent across all of your images. If you need to update an image, you can push it with a new tag and then update the tag on Docker Hub. To avoid this, always use a new tag when pushing to Docker Hub. This can cause problems if someone has already pulled the image and is using it in production. If you push an image with a tag that already exists on Docker Hub, the previous image will be overwritten. It’s much better to use a specific version number (or commit hash) as your default tag, so that you can always deploy the exact same code that you’ve tested and know to be working. But if that’s not actually the case, you could end up deploying code that’s not ready for prime time, which can cause all sorts of problems. When you use “latest” as your default tag, you’re implicitly saying that the code in that image is good enough to go into production. This is a great way to make sure that your users are always using the most up-to-date version of your software, while still having access to older versions if they need them. Second, it means that you can use different tags to represent different versions of the same image.įor example, you could have a “latest” tag that always points to the most recent version of your image, and a “stable” tag that points to the most stable version of your image. First, it means that if you tag an image with multiple tags, you only need to push it once. You’re also pushing all of the metadata associated with that image, including any tags. When you push an image to a registry, you’re not just pushing the code contained within that image. This makes it clear at a glance which image is which, and you can easily pull the correct image for the environment you’re working in.Īdditionally, using a consistent tagging scheme makes it easy to automate image management tasks, such as building and pushing images to a registry. If you use a consistent tagging scheme, you can tag them as such: For example, let’s say you have two different versions of the same image, one for development and one for production. When you use a consistent tagging scheme, it’s much easier to manage and organize your images. By following these best practices, you can ensure that your images are properly tagged and easy to manage. In this article, we will discuss 7 best practices for tagging Docker images. It allows you to specify a particular version or variants of an image, which can be useful when you need to roll back to a previous version or deploy a specific version to production. Tagging is an important part of working with Docker images.
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