During a recent webinar, the focus was on creating an efficient Docker build pipeline for Java applications, addressing common misconceptions and poor practices prevalent in many tutorials for Dockerizing Java apps. The webinar, led by Chief Researcher Alexei Ledenev, demonstrated how to optimize the Java-Docker build process to produce smaller, more efficient, and secure Docker images, as opposed to the "Naive Approach" often adopted by beginners, which results in oversized images. This approach typically involves using a Linux image to install all necessary packages and project files, leading to large image sizes, such as 1.3 GB. Highlighting the importance of minimizing image size, the session illustrated the benefits of using Docker-native CI/CD tools like Codefresh to automate pipelines effectively, ensuring the production of optimized Docker images consistently.