Irena Grgic
As a clean code enthusiast, Women in Tech advocate, DevOps engineer, and mathematician, I have worked in multiple tech fields. My journey has taken me from roles as a data scientist and machine learning engineer to MLOps, culminating in my current position as the lead DevOps engineer of a computer vision platform with hundreds of active users. I possess a broad range of experience in multiple programming languages, creating fast and structured CI/CD pipelines, deploying entire platforms to Kubernetes, and working with various cloud providers. I am passionate about efficient, well-readable, and easily maintainable code and strongly believe that machine learning products should be developed with the same standards as good software.
Session
Inspecting Docker images is crucial for building secure and efficient containers. In this session, we will analyze the structure of a Python-based Docker image using various tools, focusing on best practices for minimizing image size and reducing layers with multi-stage builds. We’ll also address common security pitfalls, including proper handling of build and runtime secrets.
While this talk offers valuable insights for anyone working with Docker, it is especially beneficial for Python developers seeking to master clean and secure containerization techniques.