【文件属性】：
文件名称：源码Deployment with Docker_ Apply continuous integration models, deploy app
文件大小：200KB
文件格式：ZIP
更新时间：2021-08-18 11:08:05
docker
Key FeaturesUse Docker containers, horizontal node scaling, modern orchestration tools (Docker Swarm, Kubernetes, and Mesos) and Continuous Integration/Continuous Delivery to manage your infrastructure.Increase service density by turning often-idle machines into hosts for numerous Docker services.Learn what it takes to build a true container infrastructure that is scalable, reliable, and resilient in the face of increased complexities from using container infrastructures.Find out how to identify, debug, and mitigate most real-world, undocumented issues when deploying your own Docker infrastructure.Learn tips and tricks of the trade from existing Docker infrastructures running in production environments.Book Description
Deploying Docker into production is considered to be one of the major pain points in developing large-scale infrastructures, and the documentation available online leaves a lot to be desired. With this book, you will learn everything you wanted to know to effectively scale your deployments globally and build a resilient, scalable, and containerized cloud platform for your own use.
The book starts by introducing you to the containerization ecosystem with some concrete and easy-to-digest examples; after that, you will delve into examples of launching multiple instances of the same container. From there, you will cover orchestration, multi-node setups, volumes, and almost every relevant component of this new approach to deploying services. Using intertwined approaches, the book will cover battle-tested tooling, or issues likely to be encountered in real-world scenarios, in detail. You will also learn about the other supporting components required for a true PaaS deployment and discover common options to tie the whole infrastructure together.
At the end of the book, you learn to build a small, but functional, PaaS (to appreciate the power of the containerized service approach) and continue to explore real-world approaches to implementing even larger global-scale services.
What you will learnSet up a working development environment and create a simple web service to demonstrate the basicsLearn how to make your service more usable by adding a database and an app server to process logicAdd resilience to your services by learning how to horizontally scale with a few containers on a single nodeMaster layering isolation and messaging to simplify and harden the connectivity between containersLearn about numerous issues encountered at scale and their workarounds, from the kernel up to code versioningAutomate the most important parts of your infrastructure with continuous integrationAbout the Author
Srdjan Grubor is a software engineer who has worked on projects large and small for many years now, with deployment sizes ranging from small to global. Currently, he is working on solving the world's connectivity problems for Endless OS as a cloud engineer and was one of the first people to become a Docker Certified Associate. He enjoys breaking things just to see how they work, tinkering, and solving challenging problems. Srdjan believes that there is always room for philanthropy in technology.
Table of ContentsContainers - Not Just Another BuzzwordRolling Up the SleevesService decompositionScaling the ContainersKeeping the Data PersistentAdvanced deployment topicsLimits of Scaling and Their WorkaroundsBuilding Our Own PlatformExploring the largest-scale deployments
【文件预览】：
DeploymentwithDocker_Code
----Chapter07()
--------cpu_shares.sh(1KB)
----README.txt(95B)
----Chapter03()
--------prototype_service()
----Chapter08()
--------jenkins()
--------aws_deployment()
--------ansible_deployment()
----Chapter06()
--------redis_queue()
----Chapter04()
--------docker_swarm_intro()
--------clustered_application()
----Software and hardware list.pdf(178KB)
----Chapter02()
--------python_webserver()
--------advanced_nginx()
--------basic_dockerfile()