Fast-Docker

Fast-Docker

Docker容器化技术学习与实践指南

Fast-Docker是一个全面的Docker学习资源,涵盖从基础概念到高级应用。项目通过实践实验和命令指南,帮助开发者快速掌握Dockerfile、镜像、容器、Docker Compose、网络和Swarm等核心技术。内容适合各层级开发者,提供容器化解决方案的实际应用指导和最佳实践参考。

Docker容器化Docker镜像Docker Compose微服务Github开源项目

Fast-Docker

This repo aims to cover Docker details (Dockerfile, Image, Container, Commands, Volumes, Docker-Compose, Networks, Swarm, Stack) quickly, and possible example usage scenarios (HowTo: LABs) in a nutshell. Possible usage scenarios are aimed to update over time.

Keywords: Docker-Image, Dockerfile, Containerization, Docker-Compose, Docker-Volume, Docker-Network, Docker-Swarm, Service, Cheatsheet.

Quick Look (HowTo: LABs)

Table of Contents

Motivation <a name="motivation"></a>

Why should we use Docker? "Docker changed the way applications used to build and ship. It has completely revolutionized the containerization world." (Ref:ItNext)

Needs <a name="needs"></a>

  • Installing all dependencies, setting up a new environment for SW (time-consuming every time to install environment for testing )
  • We want to run our apps on different platforms (Ubuntu, Windows, Raspberry Pi).
    • Question in our mind: What if, it does not run on a different OS?
  • CI/CD Integration Testing: We can handle unit testing, component testing with Jenkins. What if integration testing?
    • Extending Chain: Jenkins- Docker Image - Docker Container - Automatic testing
  • Are our SW products portable to carry on different PC easily? (especially in the development & testing phase)
  • Developing, testing, maintenance of code as one Monolithic App could be problematic when the app needs more features/services. It is required to convert one big monolithic app into microservices.

Benefits <a name="benefits"></a>

  • NOT needed to install dependencies/SWs again & again
  • Enables to run on different OS, different platforms
  • Enables a consistent environment
  • Enables more efficient use of system resources
  • Easy to use and maintain
  • Efficient use of the system resources
  • Isolate SW components
  • Enables faster software delivery cycles
  • Containers give us instant application portability.
  • Enables developers to easily pack, ship, and run any application as a lightweight, portable, self-sufficient container
  • Microservice Architecture (Monolithic Apps to MicroService Architecture, e.g. Cloud Native App)

(Ref: Infoworld)

Problems Docker does not solve<a name="problems"></a>

  • Docker does NOT fix your security issues
  • Docker does NOT turn applications magically into microservices
  • Docker isn’t a substitute for virtual machines

(Ref: Infoworld)

What is Docker? <a name="whatisdocker"></a>

  • Docker is a tool that reduces the gap between the Development/Deployment phase of a software development cycle.
  • Docker is like a VM but it has more features than VMs (no kernel, only small app and file systems, portable)
    • On Linux Kernel (2000s) two features are added (these features support Docker):
      • Namespaces: Isolate process.
      • Control Groups: Resource usage (CPU, Memory) isolation and limitation for each process.
  • Without Docker, each VM consumes 30% of resources (Memory, CPU)

image (Ref: Docker.com)

Architecture <a name="architecture"></a>

image (Ref: docs.docker.com)

Installation <a name="installation"></a>

Docker Engine (Deamon, REST API, CLI) <a name="engine"></a>

  • There are mainly 3 components in the Docker Engine:
    • Server is the docker daemon named docker daemon. Creates and manages docker images, containers, networks, etc.
    • Rest API instructs docker daemon what to do.
    • Command Line Interface (CLI) is the client used to enter docker commands.

image (Ref: Docker.com)

Docker Registry and Docker Hub <a name="registry"></a>

image

App: Running Docker Free Local Registry, Tagging Container, Pushing to Local Registry, Pulling From Local Registry and Deleting Images from Local Registry

Docker Command Structure <a name="command"></a>

  • docker [ManagementCommand] [Command]
docker container ls -a
docker image ls
docker volume ls
docker network ls
docker container rm -f [containerName or containerID]

image

image

Docker Container <a name="container"></a>

image (Ref: docker-handbook-borosan)

  • When we create the container from the image, in every container, there is an application that is set to run by default app.
    • When this app runs, the container runs.
    • When this default app finishes/stops, the container stops.
  • There could be more than one app in docker image (such as: sh, ls, basic commands)
  • When the Docker container is started, it is allowed that a single application is configured to run automatically.
docker container run --name mywebserver -d -p 80:80 -v test:/usr/share/nginx/html nginx
docker container ls -a
docker image pull alpine
docker image push alpine
docker image build -t hello . (run this command where “Dockerfile” is)
(PS: image file name MUST be “Dockerfile”, no extension)
docker save -o hello.tar test/hello
docker load -i <path to docker image tar file>
docker load -i .\hello.tar

Goto: App: Creating First Docker Image and Container using Docker File

Docker Container: Life Cycle

image (Ref: life-cycle-medium)

e.g. [imageName]=alpine, busybox, nginx, ubuntu, etc.
docker image pull [imageName]
docker container run [imageName]
docker container start [containerId or containerName]
docker container stop [containerId or containerName]
docker container pause [containerId or containerName]
docker container unpause [containerId or containerName]

Docker Container: Union File System <a name="container-filesystem"></a>

  • Images are read only (R/O).
  • When containers are created, new read-write (R/W) thin layer is created.

image (Ref: docs.docker.com)

Docker Volumes: Why Volumes needed?

  • Containers do not save the changes/logs when erased if there is not any binding to volume/mount.
  • For persistence, volumes/mounts MUST be used.
  • e.g. Creating a log file in the container. When the container is deleted, the log file also deleted with the container. So volumes/binding mounts MUST be used to provide persistence!

image (Ref: udemy-course:adan-zye-docker)

Docker Volumes/Bind Mounts <a name="volume"></a>

  • Volumes and binding mounts must be used for saving logs, output files, and input files.
  • When volumes bind to the directory in the container, this directory and volume are synchronized.
docker volume create [volumeName]
docker volume create test
docker container run --name [containerName] -v [volumeName]:[pathInContainer] [imageName]
docker container run --name c1 -v test:/app alpine

Goto: App: Binding Volume to the Different Containers

Bind Mount

docker container run --name [containerName] -v [pathInHost]:[pathInContainer] [imageName]
docker container run --name c1 -v C:\test:/app alpine

image (Ref: Docker.com)

Goto: App: Binding Mount to Container Goto: App: Transferring Content between Host PC and Docker Container

Docker Network <a name="network"></a>

  • Docker containers work like VMs.
  • Every Docker container has network connections
  • Docker Network Drivers:
    • None
    • Bridge
    • Host
    • Macvlan
    • Overlay

Docker Network: Bridge

  • Default Network Driver: Bridge (--net bridge)
docker network create [networkName]
docker network create bridge1
docker container run --name [containerName] --net [networkName] [imageName] 
docker container run --name c1 --net bridge1 alpine sh
docker network inspect bridge1
docker container run --name c2 --net bridge1 alpine sh
docker network connect bridge1 c2
docker network inspect bridge1
docker network disconnect bridge1 c2
  • Creating a new network using customized network parameters:
docker network create --driver=bridge --subnet=10.10.0.0/16 --ip-range=10.10.10.0/24 --gateway=10.10.10.10 newbridge

image (Ref: Docker.com)

Docker Network: Host

  • Containers reach host network interfaces (--net host)
docker container run --name [containerName] --net [networkName] [imageName] 
docker container run --name c1 --net host alpine sh

image (Ref: Docker.com)

Docker Network: MacVlan

  • Each Container has its own MAC interface (--net macvlan)

image (Ref: Docker.com)

Docker Network: Overlay

  • Containers that work on different PCs/hosts can work as the same network (--net overlay)

image (Ref: Docker.com)

Port Mapping/Publish:

  • Mapping Host PC's port to container port:
-p [hostPort]:[containerPort], --publish [hostPort]:[containerPort] e.g. -p 8080:80, -p 80:80
docker container run --name mywebserver -d -p 80:80 nginx

Docker Log <a name="log"></a>

  • Docker Logs show /dev/stdout, /dev/stderror
docker logs --details [containerName]

image

Docker Stats/Memory-CPU Limitations <a name="stats"></a>

image

image

image

Docker Environment Variables <a name="variables"></a>

image

Docker File <a name="file"></a>

image

Goto: [App: Creating Docker Container using Dockerfile to Build C++ on

编辑推荐精选

扣子-AI办公

扣子-AI办公

职场AI,就用扣子

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

堆友

堆友

多风格AI绘画神器

堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。

图像生成热门AI工具AI图像AI反应堆AI工具箱AI绘画GOAI艺术字堆友相机
码上飞

码上飞

零代码AI应用开发平台

零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

酷表ChatExcel

酷表ChatExcel

大模型驱动的Excel数据处理工具

基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。

AI工具使用教程AI营销产品酷表ChatExcelAI智能客服
TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

热门AI工具生产力协作转型TraeAI IDE
AIWritePaper论文写作

AIWritePaper论文写作

AI论文写作指导平台

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

数据安全AI助手热门AI工具AI辅助写作AI论文工具论文写作智能生成大纲
博思AIPPT

博思AIPPT

AI一键生成PPT,就用博思AIPPT!

博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。

热门AI工具AI办公办公工具智能排版AI生成PPT博思AIPPT海量精品模板AI创作
潮际好麦

潮际好麦

AI赋能电商视觉革命,一站式智能商拍平台

潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。

下拉加载更多