container.training

container.training

全面的Docker和容器编排开源培训项目

Container Training 是一个开源项目,提供全面的Docker和容器编排培训材料。内容涵盖Docker入门、Swarm和Kubernetes编排,包括幻灯片、示例应用和实践练习。材料设计适合初学者,可用于课堂教学或自学。项目还包含自动化测试和部署工具,确保内容质量。所有资源持续更新,是学习容器技术的理想选择。

容器训练Docker编排微服务架构工作坊Github开源项目

Container Training

This repository (formerly known as orchestration-workshop) contains materials (slides, scripts, demo app, and other code samples) used for various workshops, tutorials, and training sessions around the themes of Docker, containers, and orchestration.

For the moment, it includes:

  • Introduction to Docker and Containers,
  • Container Orchestration with Docker Swarm,
  • Container Orchestration with Kubernetes.

These materials have been designed around the following principles:

  • they assume very little prior knowledge of Docker, containers, or a particular programming language;
  • they can be used in a classroom setup (with an instructor), or self-paced at home;
  • they are hands-on, meaning that they contain lots of examples and exercises that you can easily reproduce;
  • they progressively introduce concepts in chapters that build on top of each other.

If you're looking for the materials, you can stop reading right now, and hop to http://container.training/, which hosts all the slides decks available.

The rest of this document explains how this repository is structured, and how to use it to deliver (or create) your own tutorials.

Why a single repository?

All these materials have been gathered in a single repository because they have a few things in common:

What are the different courses available?

Introduction to Docker is derived from the first "Docker Fundamentals" training materials. For more information, see jpetazzo/intro-to-docker. The version in this repository has been adapted to the Markdown publishing pipeline. It is still maintained, but only receives minor updates once in a while.

Container Orchestration with Docker Swarm (formerly known as "Orchestration Workshop") is a workshop created by Jérôme Petazzoni in June 2015. Since then, it has been continuously updated and improved, and received contributions from many others authors. It is actively maintained.

Container Orchestration with Kubernetes was created by Jérôme Petazzoni in October 2017, with help and feedback from a few other contributors. It is actively maintained.

Repository structure

  • bin
    • A few helper scripts that you can safely ignore for now.
  • dockercoins
    • The demo app used throughout the orchestration workshops.
  • efk, elk, prom, snap:
    • Logging and metrics stacks used in the later parts of the orchestration workshops.
  • prepare-local, prepare-machine:
    • Contributed scripts to automate the creation of local environments. These could use some help to test/check that they work.
  • prepare-vms:
    • Scripts to automate the creation of AWS instances for students. These are routinely used and actively maintained.
  • slides:
    • All the slides! They are assembled from Markdown files with a custom Python script, and then rendered using gnab/remark. Check this directory for more details.
  • stacks:
    • A handful of Compose files (version 3) allowing to easily deploy complex application stacks.

Course structure

(This applies only for the orchestration workshops.)

The workshop introduces a demo app, "DockerCoins," built around a micro-services architecture. First, we run it on a single node, using Docker Compose. Then, we pretend that we need to scale it, and we use an orchestrator (SwarmKit or Kubernetes) to deploy and scale the app on a cluster.

We explain the concepts of the orchestrator. For SwarmKit, we setup the cluster with docker swarm init and docker swarm join. For Kubernetes, we use pre-configured clusters.

Then, we cover more advanced concepts: scaling, load balancing, updates, global services or daemon sets.

There are a number of advanced optional chapters about logging, metrics, secrets, network encryption, etc.

The content is very modular: it is broken down in a large number of Markdown files, that are put together according to a YAML manifest. This allows to re-use content between different workshops very easily.

DockerCoins

The sample app is in the dockercoins directory. It's used during all chapters for explaining different concepts of orchestration.

To see it in action:

  • cd dockercoins && docker-compose up -d
  • this will build and start all the services
  • the web UI will be available on port 8000

Running the Workshop

If you want to deliver one of these workshops yourself, this section is for you!

*This section has been mostly contributed by Bret Fisher, who was one of the first persons to have the bravery of delivering this workshop without me. Thanks Bret! 🍻

Jérôme.*

General timeline of planning a workshop

  • Fork repo and run through slides, doing the hands-on to be sure you understand the different dockercoins repo's and the steps we go through to get to a full Swarm Mode cluster of many containers. You'll update the first few slides and last slide at a minimum, with your info.
  • Your docs directory can use GitHub Pages.
  • This workshop expects 5 servers per student. You can get away with as little as 2 servers per student, but you'll need to change the slide deck to accommodate. More servers = more fun.
  • If you have more then ~20 students, try to get an assistant (TA) to help people with issues, so you don't have to stop the workshop to help someone with ssh etc.
  • AWS is our most tested process for generating student machines. In prepare-vms you'll find scripts to create EC2 instances, install docker, pre-pull images, and even print "cards" to place at each students seat with IP's and username/password.
  • Test AWS Scripts: Be sure to test creating all your needed servers a week before workshop (just for a few minutes). You'll likely hit AWS limits in the region closest to your class, and it sometimes takes days to get AWS to raise those limits with a support ticket.
  • Create a https://gitter.im chat room for your workshop and update slides with url. Also useful for TA to monitor this during workshop. You can use it before/after to answer questions, and generally works as a better answer then "email me that question".
  • If you can send an email to students ahead of time, mention how they should get SSH, and test that SSH works. If they can ssh github.com and get permission denied (publickey) then they know it worked, and SSH is properly installed and they don't have anything blocking it. SSH and a browser are all they need for class.
  • Typically you create the servers the day before or morning of workshop, and leave them up the rest of day after workshop. If creating hundreds of servers, you'll likely want to run all these workshopctl commands from a dedicated instance you have in same region as instances you want to create. Much faster this way if you're on poor internet. Also, create 2 sets of servers for yourself, and use one during workshop and the 2nd is a backup.
  • Remember you'll need to print the "cards" for students, so you'll need to create instances while you have a way to print them.

Things That Could Go Wrong

  • Creating AWS instances ahead of time, and you hit its limits in region and didn't plan enough time to wait on support to increase your limits. :(
  • Students have technical issues during workshop. Can't get ssh working, locked-down computer, host firewall, etc.
  • Horrible wifi, or ssh port TCP/22 not open on network! If wifi sucks you can try using MOSH https://mosh.org which handles SSH over UDP. TMUX can also prevent you from losing your place if you get disconnected from servers. https://tmux.github.io
  • Forget to print "cards" and cut them up for handing out IP's.
  • Forget to have fun and focus on your students!

Creating the VMs

prepare-vms/workshopctl is the script that gets you most of what you need for setting up instances. See prepare-vms/README.md for all the info on tools and scripts.

Content for Different Workshop Durations

With all the slides, this workshop is a full day long. If you need to deliver it in shorter timelines, here's some recommendations on what to cut out. You can replace --- with ??? which will hide slides. Or leave them there and add something like (EXTRA CREDIT) to title so students can still view the content but you also know to skip during presentation.

3 Hour Version

  • Limit time on debug tools, maybe skip a few. "Chapter 1: Identifying bottlenecks"
  • Limit time on Compose, try to have them building the Swarm Mode by 30 minutes in
  • Skip most of Chapter 3, Centralized Logging and ELK
  • Skip most of Chapter 4, but keep stateful services and DAB's if possible
  • Mention what DAB's are, but make this part optional in case you run out of time

2 Hour Version

  • Skip all the above, and:
  • Skip the story arc of debugging dockercoins all together, skipping the troubleshooting tools. Just focus on getting them from single-host to multi-host and multi-container.
  • Goal is first 30min on intro and Docker Compose and what dockercoins is, and getting it up on one node in docker-compose.
  • Next 60-75 minutes is getting dockercoins in Swarm Mode services across servers. Big Win.
  • Last 15-30 minutes is for stateful services, DAB files, and questions.

Pre-built images

There are pre-built images for the 4 components of the DockerCoins demo app: dockercoins/hasher:v0.1, dockercoins/rng:v0.1, dockercoins/webui:v0.1, and dockercoins/worker:v0.1. They correspond to the code in this repository.

There are also three variants, for demo purposes:

  • dockercoins/rng:v0.2 is broken (the server won't even start),
  • dockercoins/webui:v0.2 has bigger font on the Y axis and a green graph (instead of blue),
  • dockercoins/worker:v0.2 is 11x slower than v0.1.

Past events

Since its inception, this workshop has been delivered dozens of times, to thousands of people, and has continuously evolved. This is a short history of the first times it was delivered. Look also in the "tags" of this repository: they all correspond to successive iterations of this workshop. If you attended a past version of the workshop, you can use these tags to see what has changed since then.

  • QCON, New York City (2015, June)
  • KCDC, Kansas City (2015, June)
  • JDEV, Bordeaux (2015, July)
  • OSCON, Portland (2015, July)
  • StrangeLoop, Saint Louis (2015, September)
  • LISA, Washington D.C. (2015, November)
  • SCALE, Pasadena (2016, January)
  • Zenika, Paris (2016, February)
  • Container Solutions, Amsterdam (2016, February)
  • ... and much more!

Problems? Bugs? Questions?

If there is a bug and you can fix it: submit a PR. Make sure that I know who you are so that I can thank you (because you're the real MVP!)

If there is a bug and you can't fix it, but you can reproduce it: submit an issue explaining how to reproduce.

If there is a bug and you can't even reproduce it: sorry. It is probably an Heisenbug. We can't act on it until it's reproducible, alas.

“Please teach us!”

If you have attended one of these workshops, and want your team or organization to attend a similar one, you can look at the list of upcoming events on http://container.training/.

You are also welcome to reuse these materials to run your own workshop, for your team or even at a meetup or conference. In that case, you might enjoy watching Bridget Kromhout's talk at KubeCon 2018 Europe, explaining precisely how to run such a workshop yourself.

Finally, you can also contact the following persons, who are experienced speakers, are familiar with the material, and are available to deliver these workshops at your conference or for your company:

  • jerome dot petazzoni at gmail dot com
  • bret at bretfisher dot com

(If you are willing and able to deliver such workshops, feel free to submit a PR to add your name to that list!)

**Thank

编辑推荐精选

讯飞智文

讯飞智文

一键生成PPT和Word,让学习生活更轻松

讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精准表达,轻松呈现各种信息。

AI办公办公工具AI工具讯飞智文AI在线生成PPTAI撰写助手多语种文档生成AI自动配图热门
讯飞星火

讯飞星火

深度推理能力全新升级,全面对标OpenAI o1

科大讯飞的星火大模型,支持语言理解、知识问答和文本创作等多功能,适用于多种文件和业务场景,提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台,涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能,能为不同需求的用户提供便捷高效的帮助,助力用户轻松获取信息、解决问题,满足多样化使用场景。

热门AI开发模型训练AI工具讯飞星火大模型智能问答内容创作多语种支持智慧生活
Spark-TTS

Spark-TTS

一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型

Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目,由多个知名机构联合参与。该项目提供了高效的 LLM(大语言模型)驱动的语音合成方案,支持语音克隆和语音创建功能,可通过命令行界面(CLI)和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数,生成高质量的语音。该项目适用于多种场景,如有声读物制作、智能语音助手开发等。

Trae

Trae

字节跳动发布的AI编程神器IDE

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。

AI工具TraeAI IDE协作生产力转型热门
咔片PPT

咔片PPT

AI助力,做PPT更简单!

咔片是一款轻量化在线演示设计工具,借助 AI 技术,实现从内容生成到智能设计的一站式 PPT 制作服务。支持多种文档格式导入生成 PPT,提供海量模板、智能美化、素材替换等功能,适用于销售、教师、学生等各类人群,能高效制作出高品质 PPT,满足不同场景演示需求。

讯飞绘文

讯飞绘文

选题、配图、成文,一站式创作,让内容运营更高效

讯飞绘文,一个AI集成平台,支持写作、选题、配图、排版和发布。高效生成适用于各类媒体的定制内容,加速品牌传播,提升内容营销效果。

热门AI辅助写作AI工具讯飞绘文内容运营AI创作个性化文章多平台分发AI助手
材料星

材料星

专业的AI公文写作平台,公文写作神器

AI 材料星,专业的 AI 公文写作辅助平台,为体制内工作人员提供高效的公文写作解决方案。拥有海量公文文库、9 大核心 AI 功能,支持 30 + 文稿类型生成,助力快速完成领导讲话、工作总结、述职报告等材料,提升办公效率,是体制打工人的得力写作神器。

openai-agents-python

openai-agents-python

OpenAI Agents SDK,助力开发者便捷使用 OpenAI 相关功能。

openai-agents-python 是 OpenAI 推出的一款强大 Python SDK,它为开发者提供了与 OpenAI 模型交互的高效工具,支持工具调用、结果处理、追踪等功能,涵盖多种应用场景,如研究助手、财务研究等,能显著提升开发效率,让开发者更轻松地利用 OpenAI 的技术优势。

Hunyuan3D-2

Hunyuan3D-2

高分辨率纹理 3D 资产生成

Hunyuan3D-2 是腾讯开发的用于 3D 资产生成的强大工具,支持从文本描述、单张图片或多视角图片生成 3D 模型,具备快速形状生成能力,可生成带纹理的高质量 3D 模型,适用于多个领域,为 3D 创作提供了高效解决方案。

3FS

3FS

一个具备存储、管理和客户端操作等多种功能的分布式文件系统相关项目。

3FS 是一个功能强大的分布式文件系统项目,涵盖了存储引擎、元数据管理、客户端工具等多个模块。它支持多种文件操作,如创建文件和目录、设置布局等,同时具备高效的事件循环、节点选择和协程池管理等特性。适用于需要大规模数据存储和管理的场景,能够提高系统的性能和可靠性,是分布式存储领域的优质解决方案。

下拉加载更多