How is container architecture organized?

Container architecture is built around isolating applications and their dependencies in lightweight, portable, and reproducible environments — containers. Containers are run on a host system using a shared OS kernel, which saves resources compared to virtual machines.

Main components of the architecture:

• Container image — a template with the application and all necessary libraries.
• Image registry — a storage for images (e.g., Docker Hub).
• Containers — running instances of images.
• Orchestration — managing multiple containers (Kubernetes, Docker Swarm).

In ML/AI projects, containers allow:

• Rapid deployment of models and services in different environments.
• Ensuring reproducibility of experiments.
• Scaling computations and services.

Example: a model is trained and packaged into a Docker image, then deployed in a Kubernetes cluster to handle requests in production.