<ul><li>Optimizing Docker images is essential for enhancing efficiency and scalability.</li><li>Multi-stage builds and JLink are practical techniques for optimizing Docker images.</li><li>Using Multi-Stage Build: Caching dependencies results in more efficient and smaller Docker image.</li><li>Dividing build and runtime stages ensures that only necessary things make it to final image.</li><li>Optimizing the Dockerfile reduces the image size and makes it more efficient with less unnecessary dependencies.</li><li>JLink creates a minimal Java runtime that includes only the necessary modules and removes unneeded files.</li><li>Optimized images load faster, reduce attack surface and boost deployment times in cloud environments.</li><li>Using multi-stage builds and creating minimal runtimes can significantly decrease image sizes, improve build performance, and reduce vulnerabilities.</li><li>The optimization process with the Spring PetClinic application reduced image size from 518MB to 128MB.</li><li>Adopting these best practices can save resources and enhance security in production environments.</li></ul>

Optimizing Docker Image Size for Java Applications: Multi-Stage Builds & JLink Explained

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