#CONTAINER IMAGE TOOL HOW TO#

To summarize ko’s features in general, ko is spun off of the go-containerregistry library, which helps you interact with container registries and images.

#CONTAINER IMAGE TOOL HOW TO#

I believe once you discover the abilities of the ko project with this article, it’ll become one of your daily tools because ko frees up you from creating Dockerfiles and knowing containerization details by giving you the freedom to focus your code without worrying about how to make a container image from it while giving you performance and great UX. So, in my opinion, everyone should be familiar with this project, especially if you are a Golang developer. Ko simplifies building container images also it securely does that by providing features such as not requiring any running daemon process, without the need for Dockerfile, providing build information for reproducibility, and creating/pushing SBOM (Software Bill of Materials) automatically, don’t worry if you are not familiar none of these, today, we’ll be explaining all of them in general, and also deploying Go applications on Kubernetes environments easily and quickly. Ko is a simple, fast container image builder for Go applications.

So there is still a chance you can find something helpful in this article.

Still, I suppose you are curious about automatic SBOM generation, a reproducible image builds, and multi-platform images. Since the ko project is specific to Golang, this article is for Golang developers mostly. I’m also super excited to talk about ko’s latest improvements in the supply chain security area.įirst, let’s explain which audience this article is targeting. In this article, we do not compare their strengths or weaknesses to each other, and we’ll be focusing on the ko project and will talk about its features from oldest to newest. To be honest, Docker is not the only way of creating container images, and there are many tools out there to achieve the same thing, such as Kaniko, apko, img, BuildKit, Buildx, Podman, Buildah, ko, Jib, Buildpacks and many more. Since containerization has become more and more popular with the help of Docker, I’m assuming you must have run the “ docker build” at least once. The first step you should do is create container images for your applications. If you are already familiar with containerization, I assume you are because the basic containerization knowledge is required for this article. With the rise of containerization, it becomes essential to deploy applications as containers and manages them through orchestration systems at scale.

Container image tool