Explore machine learning concepts related to Docker. Clear explanations and practical insights.
Master Linux namespaces — the kernel mechanism that makes containers possible. Learn how mount, PID, network, and user namespaces create isolated environments, with interactive demos.
Control groups as instruments: noisy neighbors, v1 vs v2 membership, CFS cpu.max periods, memory.high vs memory.max OOM, and how Docker flags become cgroup files.
Discover how containers work by combining namespaces, cgroups, and OverlayFS. Build a mental model of Docker internals through interactive visualizations.
Understand how containerized processes access GPU hardware through device files, bind mounts, and the NVIDIA container runtime. Learn the kernel driver vs user-space library distinction.