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Cloud & DevOps

Containerization is a lightweight virtualisation technique that packages an application and all its dependencies — libraries, configuration, and runtime — into a portable, isolated container that runs consistently across any environment.

Containers share the host operating system's kernel but isolate processes and filesystems using Linux namespaces and cgroups, making them far more resource-efficient than traditional virtual machines that each carry a full OS. The core benefit is environment consistency: a container that works on a developer's laptop will behave identically in staging and production, eliminating the classic 'it works on my machine' problem. Container images are immutable and versioned, enabling precise rollbacks when a deployment goes wrong. Docker popularised containerisation for application packaging, while Kubernetes emerged as the standard platform for orchestrating containers at scale across clusters of machines.

Example

A development team packages their Python machine learning API into a Docker container with its specific CUDA, PyTorch, and dependency versions, ensuring it runs identically on every data scientist's workstation and on the production GPU cluster.

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