Building container images is both technical and an art. You want to keep the
image small and focused to increase your security posture, but also need to
balance potential tradeoffs, such as caching impacts. In this series, you’ll
deep dive into the secrets of images, how they are built and best practices.
Learn how to build production-ready images that are lean and efficient Docker
images, essential for minimizing overhead and enhancing deployment in
production environments.
Have you ever wondered how images work? This guide will help you to
understand image layers - the fundamental building blocks of container
images. You'll gain a comprehensive understanding of how layers are created,
stacked, and utilized to ensure efficient and optimized containers.
Mastering Dockerfile practices is vital for leveraging container technology
effectively, enhancing application reliability and supporting DevOps and
CI/CD methodologies. In this guide, you’ll learn how to write a Dockerfile,
how to define a base image and setup instructions, including software
installation and copying necessary files.
Building, tagging, and publishing Docker images are key steps in the
containerization workflow. In this guide, you’ll learn how to create Docker
images, how to tag those images with a unique identifier, and how to publish
your image to a public registry.
Using the build cache effectively allows you to achieve faster builds by
reusing results from previous builds and skipping unnecessary steps. To
maximize cache usage and avoid resource-intensive and time-consuming
rebuilds, it's crucial to understand how cache invalidation works. In this
guide, you’ll learn how to use the Docker build cache efficiently for
streamlined Docker image development and continuous integration workflows.
By separating the build environment from the final runtime environment, you
can significantly reduce the image size and attack surface. In this guide,
you'll unlock the power of multi-stage builds to create lean and efficient
Docker images, essential for minimizing overhead and enhancing deployment in
production environments.
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