Build docker image tools2/28/2023 ![]() I also included a build folder in case I just want to debug the build. I'm going to set up my build and push action to only occur on the main branch (in which case it will publish as a GitHub tag of latest) or when a tag is pushed of the format v1.0 for a version of the software. I could create a branch in the git repository when an issue is opened.Īnd of course, I can trigger my application to build when a branch or tag is pushed. I could set up a trigger to deploy the latest build when a github issue is closed. It is not just a tool to automate application builds. One of the very powerful things about this, is that the actions really allow automation of all aspects of working with GitHub. There are a host of things that can be used as a trigger for a GitHub Actions workflow. The workflow for this will have three main sections. github/workflows directory.Ĭreate a yaml file with the proper schema for a GitHub Action workflow and store it under that directory. ![]() The file is defined in Yaml, and stored alongside the source of the repository.Īll workflows are defined under the. GitHub Actions takes the same stances as most major build automation tools do today.Ī file defines the actions to take for the build. I'll be pushing my image into GitHub Container Registry, which currently is free for public repositories / images.Ī Dockerfile at a 10,000, foot view is a set of instructions to build my application and package it up as an image. Since it's a multistage Dockerfile the image will be built in Docker and everything will be output as a Docker image.Īfter building a docker image, it will store locally, and it needs to be pushed out to a registry. In short the Dockerfile contains the instructions to build an image from my source code. I'm not going to go in depth in this article on building a container. There are all kinds of examples over the web on this. You can find the example Dockerfile in the GitHub repository under the src folder. In this post, I'll be referencing my project around building a Markdown Time Logger. It's easier to use, which helps when I want to introduce others to containers. However, Docker is one of the most popular and has excellent cross-platform support, so that's what I typically use. The image specification to build a container has been standardized as the OCI Image Format. While I am using Docker, there are plenty of other container runtimes to use as well such as Containerd and Podman. ![]() I don't have to spend hours / days setting up machines with build agents and the perfect build configuration on them. It is extremely easy to automate through GitHub Actions.Īll the build tools and runners are there just sitting waiting to pick up a build to run. It's built in and free for public repositories. GitHub provides an excellent capability to do this for simple projects with its GitHub Container Registry. The Docker image needs to be built and it needs to be pushed to a container registry.ĭocker can then use the container registry to pull images and run them on local machines and servers. One of these primary reasons is packaging up an application in an image which can easily be deployed across systems. ![]() Docker is a great tool for deploying applications. ![]()
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