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Glossary · Hosting & DevOps

Docker

Definition: Docker is a platform that packages an application and everything it needs to run—code, libraries, and system dependencies—into a portable unit called a container. Containers run identically on a laptop, server, or cloud, eliminating "works on my machine" problems.

Official source: Docker

Overview

What Docker is

Docker is the leading tool for containerization—bundling software with its dependencies so it runs the same in every environment. A container is lightweight and starts in seconds because it shares the host operating system's kernel rather than booting a full virtual machine. You define what goes inside using a simple text file called a Dockerfile.

How it works

From a Dockerfile, Docker builds an image—a read-only snapshot of your app and its environment. Images are stored in registries like Docker Hub and run as containers on any machine with Docker installed. Because the image is self-contained, the same build moves cleanly from a developer's laptop through testing to production, which makes deployments predictable.

Why it matters for projects

Docker underpins modern deployment: it isolates services, simplifies onboarding, and pairs naturally with CI/CD pipelines and orchestrators like Kubernetes. In backend, full-stack, and app modernization work, our in-house team containerizes applications so they deploy identically across AWS, Azure, and local machines. That consistency cuts environment bugs and speeds up releases.

FAQ

Docker — common questions

What's the difference between Docker and a virtual machine?

A virtual machine emulates entire hardware and runs a full guest operating system, so it's heavier and slower to start. Docker containers share the host's kernel and isolate only the application, making them far lighter and faster while still keeping apps separated.

Is Docker the same as Kubernetes?

No. Docker builds and runs individual containers, while Kubernetes orchestrates many containers across many servers—handling scaling, networking, and recovery. They're complementary: Docker packages the app, and Kubernetes runs it at scale.

Do I need Docker for a small project?

Not always, but it helps early. Even for small apps, Docker makes environments reproducible and deployment consistent. For a simple static site it may be more than you need; for anything with a back end or multiple services, it usually pays off.

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