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Docker进入大家视野已经有段时间了,也历经了多个重要的版本升级。有报告表明,在一线互联网公司中,已经有27%的企业在生产环节中使用到了Docker,先行者已开始从中获益。但目前Docker资料仍停留在概念或者实验级别,关于真正在生产环境中使用Docker的内容则少之又少,杰出实践方面的信息与资料也十分稀缺。
Docker技术对于IT架构乃至软件架构的改变是巨大的,对于想在生产环境中使用Docker的企业和团队来讲,只掌握概念和基本原理是不够的,如何能使用Docker解决自身问题,获得由此带来的收益,需要更多的生产实践方面的内容。本书以生产部署为背景,讲述Docker在真实环境中的使用,能够给读者一个很好的参考,进而达到让读者"举一反三"的效果,使其能让自身的IT架构提升到一个新的技术高度。
Content Description

本书围绕“Docker该如何应用到生产环境”这一核心问题展开。在本书中,读者将接触到多个IT企业应用Docker到生产环境的成功案例,了解Docker实际投产时将会面临的问题,以及它与现有基础设施存在的矛盾与冲突,了解构建Docker生态系统所需的配套设施,包括安全、构建镜像、持续集成/持续交付、镜像存储、配置管理、网络实现、服务发现、持久化存储以及日志监控等模块具体选型方案及利弊所在。本书编写时一些案例参考的Docker版本是Docker 1.6版本或Docker 1.7。
本书要求读者具备一定的容器管理和运维的基础知识,适合在生产环境中使用Docker的相关技术人员阅读,尤其适合具有中高级DevOps和运维背景的读者阅读。
Author Description

作者介绍
Joe Johnston是一名全栈开发人员、企业家及服务于旧金山创业公司的顾问。他是Airstack(一家微服务基础设施创业公司)、California Labs和Connect.Me的联合创始人。

Antoni Batchelli是PeerSpace公司 的工程副总裁和PalletOps公司(一家基础设施自动化咨询公司)的联合创始人。他的主要工作是将函数式编程语言与基础设施结合,以及帮助工程团队打造杰出的软件。

Justin Cormack是一名顾问,他对开源软件、云计算及分布式系统方面的创新机会尤其感兴趣。他目前就职于unikernels。读者可以在GitHub上找到他。

John Fiedler是RelateIQ公司的工程运营总监。他的团队专注于基于Docker的解决方案,为其SaaS基础设施及DevOps提供动力。

Milos Gajdos不仅是一名独立咨询师,还是Infrahackers有限公司的基础设施的负责人,他协助企业更好地理解Linux容器技术,并实现基于容器的基础设施。他偶尔会撰写一些有关容器的博客文章。


译者介绍
吴佳兴,毕业于华东理工大学计算机系,目前是携程网系统研发团队的一名DevOps工程师,主要研究的方向有Python开发、运维自动化、配置管理及PaaS平台的构建等,2014年年底有幸加入DockOne社区,作为译者,利用闲暇时间为社区贡献一些微薄的力量。

梁晓勇,毕业于厦门大学,现任某互联网金融公司架构师,DockOne社区编外人员,长期奋战在技术研发一线,在网络管理、技术开发、架构设计等方面略有心得。热爱互联网技术,积极投身开源社区,对Docker等容器技术具有浓厚兴趣。
Catalogue

目录

第1章入门 1
1.1术语1
1.1.1镜像与容器1
1.1.2容器与虚拟机1
1.1.3持续集成/持续交付2
1.1.4宿主机管理2
1.1.5编排2
1.1.6调度2
1.1.7发现2
1.1.8配置管理2
1.2从开发环境到生产环境3
1.3使用Docker的多种方式3
1.4可预期的情况4
第2章技术栈7
2.1构建系统8
2.2镜像仓库8
2.3宿主机管理8
2.4配置管理9
2.5部署9
2.6编排9
第3章示例:极简环境11
3.1保持各部分的简单11
3.2保持流程的简单13
3.3系统细节14
3.4集群范围的配置、通用配置及本地配置18
3.5部署服务19
3.6支撑服务21
3.7讨论21
3.8未来22
3.9小结22
第4章示例:Web环境23
4.1编排24
4.1.1让服务器上的Docker进入准备运行容器的状态25
4.1.2让容器运行25
4.2连网28
4.3数据存储28
4.4日志29
4.5监控30
4.6无须担心新依赖30
4.7零停机时间30
4.8服务回滚31
4.9小结31
第5章示例:Beanstalk环境33
5.1构建容器的过程34
5.2日志35
5.3监控36
5.4安全36
5.5小结36
第6章安全37
6.1威胁模型37
6.2容器与安全性38
6.3内核更新39
6.4容器更新39
6.5suid及guid二进制文件40
6.6容器内的root40
6.7权能41
6.8seccomp41
6.9内核安全框架42
6.10资源限制及cgroup42
6.11ulimit43
6.12用户命名空间43
6.13镜像验证44
6.14安全地运行Docker守护 进程45
6.15监控45
6.16设备45
6.17挂载点45
6.18ssh46
6.19私钥分发46
6.20位置46
第7章构建镜像49
7.1此镜像非彼镜像49
7.1.1写时复制与高效的镜像存储与分发50
7.1.2Docker对写时复制的使用51
7.2镜像构建基本原理52
7.2.1分层的文件系统和空间控管54
7.2.2保持镜像小巧57
7.2.3让镜像可重用58
7.2.4在进程无法被配置时,通过环境变量让镜像可配置59
7.2.5让镜像在Docker变化时对自身进行重新配置62
7.2.6信任与镜像67
7.2.7让镜像不可变67
7.3小结68
第8章存储Docker镜像69
8.1启动并运行存储的Docker镜像69
8.2自动化构建70
8.3私有仓库71
8.4私有registry的扩展71
8.4.1S372
8.4.2本地存储72
8.4.3对registry进行负载均衡72
8.5维护73
8.6对私有仓库进行加固73
8.6.1SSL73
8.6.2认证73
8.7保存/载入74
8.8最大限度地减小镜像体积74
8.9其他镜像仓库方案75
第9章CI/CD77
9.1让所有人都进行镜像构建与推送79
9.2在一个构建系统中构建所有镜像80
9.3不要使用或禁止使用非标准做法80
9.4使用标准基础镜像80
9.5使用Docker进行集成测试81
9.6小结81
第10章配置管理83
10.1配置管理与容器83
10.2面向容器的配置管理84
10.2.1Chef85
10.2.2Ansible87
10.2.3Salt Stack89
10.2.4Puppet90
10.3小结92
第11章Docker存储引擎93
11.1AUFS94
11.2DeviceMapper99
11.3BTRFS104
11.4OverlayFS108
11.5VFS112
11.6小结114
第12章Docker网络实现115
12.1网络基础知识116
12.2IP地址的分配119
12.3域名解析124
12.4服务发现128
12.5Docker高级网络132
12.5.1网络安全132
12.5.2多主机的容器间通信136
12.5.3共享网络命名空间138
12.6IPv6141
12.7小结142
第13章调度145
13.1什么是调度146
13.2调度策略147
13.3Mesos147
13.4Kubernetes148
13.5OpenShift149
第14章服务发现153
14.1DNS服务发现155
14.2Zookeeper159
14.3基于Zookeeper的服务发现160
14.4etcd161
14.5consul165
14.5.1基于consul的服务发现167
14.5.2registrator168
14.6Eureka171
14.7Smartstack174
14.7.1基于Smartstack的服务发现175
14.7.2Nerve175
14.7.3Synapse176
14.8nsqlookupd177
14.9小结177
第15章日志和监控179
15.1日志179
15.1.1Docker原生的日志 支持180
15.1.2连接到Docker容器181
15.1.3将日志导出到宿主机182
15.1.4发送日志到集中式的日志 平台183
15.1.5在其他容器一侧收集 日志184
15.2监控185
15.2.1基于宿主机的监控187
15.2.2基于Docker守护进程的 监控188
15.2.3基于容器的监控191
15.3小结194

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