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docker — Container Build & Operation

A container tool that packages an application and its required environment into a single image and runs it the same way anywhere.
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💬 "Docker commands"

Docker bundles a program and the libraries and settings needed to run it into a read-only package called an image, then runs it as a container that behaves the same anywhere.

It is a go-to tool for reducing the “works on my machine but not on the server” problem, and it also lets you quickly spin up supporting services such as log collectors, databases, and web servers as containers.

  • Image: a read-only template containing the runtime environment and code
  • Container: a running instance that actually launches an image
  • Dockerfile: a recipe for building an image (install, copy, and run commands)
  • Compose: defines and starts multiple containers together in a single YAML file

Commonly used commands

CommandDescription
docker build -t <name>:<tag> .Builds an image from the Dockerfile in the current folder
docker ps / docker ps -aList running containers / all containers
docker logs -f <container>Follow container logs in real time
docker exec -it <container> shEnter a running container
docker compose up -dStart in the background according to the Compose definition
docker compose downClean up containers and networks started with Compose

Three essential command combinations

  • docker build -t app:1.0 . && docker run -p 8080:80 app:1.0 — Build, then verify locally right away
  • docker compose up -d && docker compose logs -f — Start a bundle of services and check logs
  • docker images && docker system df — Check remaining images and disk usage

💬 "Create an example first response for when you get an incident alert"

Below is a step-by-step summary of situations you often encounter on production servers.

Check a web server with a container

Pull the official image and run it on port 80.


docker run --rm -d --name web -p 8080:80 nginx:alpine
docker ps

Logs and container access

Check the logs to see if responses are coming in, then enter the container.


docker logs web
docker exec -it web sh

Cleanup

When you are done, clean up the container and unused images.


docker stop web
docker image prune -f

How it's used in practice

1. Reproduce the server environment locally

Situation — You can't test locally because of server-only libraries.


docker run --rm -it -v "$PWD":/work -w /work ubuntu:24.04 bash

Result — You can run commands inside an ubuntu:24.04 container with the current folder mounted.

Key point — If you connect a folder with -v, files remain even after the container is deleted.

2. Temporarily start a database in a container

Situation — You need a test database for a short time without installing it on the server.


docker run --rm -d --name testdb -e MYSQL_ROOT_PASSWORD=dev mysql:8
docker logs -f testdb

Result — Even without a Compose file, you can start a database with environment variables and check its readiness through logs.

Key point — --rm automatically removes the container when it stops, making it convenient for temporary work.

3. Clean up when disk usage explodes

Situation — After repeated builds, disk usage has grown, so you need to clean up images.


docker system df
docker system prune -f

Result — Stopped containers, unused networks, and dangling images are cleaned up.

Key point — On a server, before pruning, check with docker volume ls whether there are any volumes you still need.

Important notes

  • For image tags, specify a version instead of latest so you can tell what it contains.
  • When passing secrets into a container, use environment variables or secret files rather than baking them into the image.
  • Host networking (--network host) can cause port conflicts and firewall bypass issues, so use it only when necessary.

Actual execution screen

This is an illustrative example of checking the container list and disk usage on a server (not actual command output).

!Example of Docker container list and system disk usage check

Production server


Source (HTML): https://games.aidebatehub.com/programs/dev/container/docker.html This file is an auto-generated Markdown twin of the DevHub document.

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