Building a Docker image from the source code
15 students who solve real life tasks of a software tester.
A mentor with strictly 10+ years of IT experience who guides, helps and checks the results.
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The task: Download source code from GitHub and build a Docker image using a Dockerfile.
Lead QA Automation engineer in Semrush, expert mentor Maxim Usmanov: “Why is building Docker images important?
In QA engineering, Docker is widely used to create consistent, reproducible environments for testing applications. Building Docker images from source code ensures that your testing environment mirrors production, reducing discrepancies and enabling reliable test results. This skill is critical for QA engineers working on CI/CD pipelines, where containers are built and deployed regularly to test new features or bug fixes. Mastering this process prepares you for real-world workflows where containerization streamlines testing and deployment.
What typical mistakes do students make when building Docker images?
Incorrectly specifying the path to the Dockerfile in the docker build command. As seen in the video, students often forget to include the correct path (e.g., . for the current directory) or fail to navigate to the directory containing the Dockerfile before running the command, leading to “file not found” errors.
Not cloning the GitHub repository properly or failing to verify that the Dockerfile exists in the downloaded source code directory.
Overlooking the need to include a trailing . in the docker build command when the Dockerfile is in the current directory, causing the build to fail.”
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At each of these practical workshops you work like on a real IT project.
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