Let's set some command-line flags we had during our CLI experience. With the Dockerfile in our editor, we'll see two green chevrons in our file's top-left. JetBrains Rider comes bundled with Docker integration, giving developers who prefer a GUI experience all the tools necessary to define, build, and deploy images. The -rm flag is useful in short-term experiments, where we might be exploring different build configurations.Ĭongratulations, we did it! Now, let's look at the easier way to build and run Docker containers using JetBrains Rider. Persistence increase future build performance, but comes at the cost of disk space. We also have a few optional build flags like -rm, which cleans up any intermediary images, and -t, which will give our new image the name hello-docker helping us find it easily.ĭocker persists images on our machine long after a successful build. In our case, our project name is HelloDocker, but adjust the command according to your project name. We need to open a terminal window at the root of the solution, where we'll run the following command to build our Dockerfile into an image. The management of layers allows Docker to reuse and speed up image builds. Updating code typically happens more than adding or updating package references, and separating the two ensures that a full package restore is only executed when that layer changes. Each step in the Dockerfile is a separate read-only layer, and the Docker engine will only replace layers when there are changes. The reason lies in how Docker stores images. Why is the Dockerfile definition running dotnet restore with just the project file, and only later is it running dotnet build? Having stepped through the Dockerfile, a common question newcomers to Docker might ask is: We'll go through two ways: Docker CLI and using JetBrains Rider's Docker integration. Great! Now, let's run this application inside a container.
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