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Architecture & Engineering

Containerization

Containerization packages an application together with its dependencies, libraries and configuration into a single image that runs identically on any machine with a container runtime. It removes the class of failure where software works on one environment and not another because the underlying systems differ.

The practical gain is reproducibility. A container image built once runs the same on a laptop, in CI and in production, because the image carries its own userspace. That eliminates most environment-drift bugs and makes rollback trivial — you redeploy a previous image rather than reversing a sequence of changes.

Containers are lighter than virtual machines because they share the host kernel rather than each running a full operating system, which is why hundreds can run on hardware that would support a handful of VMs. That efficiency is what made fine-grained service architectures economically viable.

Codazz builds this in production — Kubernetes & Docker.

FAQ

Containerization
FAQ.

Common questions about containerization.

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A virtual machine virtualises hardware and runs a complete guest operating system; a container virtualises the operating system and shares the host kernel. Containers therefore start in milliseconds instead of seconds and use far less memory, at the cost of weaker isolation — which matters when running untrusted code, where VMs remain the safer boundary.