description Docker Overview
Docker packages applications into containers, placing code and required user-space dependencies together in an image that can be used to create running instances. Those dependencies can include a runtime and system libraries, helping an application behave more consistently across compatible environments. Containers provide isolation while sharing a host operating system's kernel, which distinguishes them from full virtual machines. Developers use Docker to make local setups repeatable and to automate how software is built and deployed.
Operations teams can use the same packaging approach when moving applications into cloud environments or managing services across machines. Configuration and external services still need attention, so a container does not remove every difference between environments. Its appeal lies in making the application's own dependencies explicit and reusable, reducing setup drift within development workflows.
help Docker FAQ
What problem did Docker solve for developers?
Docker made it easier to package an application with its dependencies into a container that runs consistently across machines. That helped reduce the classic "works on my machine" problem for Linux services, CI pipelines, and cloud deployments.
How is a Docker container different from a virtual machine?
A container shares the host operating system kernel, while a virtual machine runs a full guest operating system. That usually makes Docker containers faster to start and lighter than traditional VMs.
Why do people use Docker with Kubernetes?
Docker popularized the container workflow, while Kubernetes orchestrates containers across clusters of machines. In production, teams often build container images with Docker-compatible tooling and then deploy them through Kubernetes.
What is a Dockerfile?
A Dockerfile is a text file that describes how to build a container image, including the base image, copied files, dependencies, and startup command. Common instructions include FROM, COPY, RUN, and CMD.
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