Alexander Zaytsev
I am a data engineer at Blue Yonder, where I build infrastructure for large-scale demand forecasting solutions. My career spans nearly a decade in academia, high-tech R&D, and industry, during which python has been a constant tool across a wide variety of environments. During my PhD in physics, I used python to analyze time-series data from some of the world’s most precise quantum sensors in the search for dark matter. Earlier in my career, I applied python to data analysis and modeling in high-precision laser gyroscope R&D, and today I continue to use it to develop robust, production-grade machine learning systems.
Session
Containers are a fundamental part of the modern developer's toolkit, yet they are frequently misunderstood and described as "lightweight virtual machines." This talk demystifies containerization by building a functional, minimal engine from scratch using only the python standard library. We will step away from high-level tools like docker to explore how the linux kernel provides isolation through features like chroot. Using a hands-on approach, we will demonstrate how to set up a sandboxed environment, isolate a filesystem, and execute processes within it. This session is designed for developers who use containers daily but haven't yet had the opportunity to look under the hood or explore the underlying operating system principles. By implementing a simplified version of these tools, you will gain a clearer, more practical understanding of the core mechanics that make containerization possible.