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坚持小班授课，为保证培训效果，增加互动环节，每期人数限3到5人。 |
| 上课时间和地点 |
开课地址：【上海】同济大学(沪西)/新城金郡商务楼(11号线白银路站)【深圳分部】：电影大厦(地铁一号线大剧院站) 【武汉分部】：佳源大厦【成都分部】：领馆区1号【沈阳分部】：沈阳理工大学【郑州分部】：锦华大厦【石家庄分部】：瑞景大厦【北京分部】：北京中山学院 【南京分部】：金港大厦
最新开班 (连续班 、周末班、晚班）：即将开课，详情请咨询客服！ |
| 实验设备 |
☆资深工程师授课
☆注重质量
☆边讲边练
☆合格学员免费推荐工作
★实验设备请点击这儿查看★ |
| 质量保障 |
1、培训过程中，如有部分内容理解不透或消化不好，可免费在以后培训班中重听；
2、课程完成后,授课老师留给学员手机和Email,保障培训效果,免费提供半年的技术支持。
3、培训合格学员可享受免费推荐就业机会。 |
课程大纲 |
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- What is Docker
Use cases
Major components of Docker
Docker architecture fundamentals
Docker architecture
Docker images
Docker registry
Docker containers
The underlying technology
Namespaces
Control groups
Union FS
Container format
Installation of Docker
Installation on Ubuntu via apt-get
Installation of newer version of Docker
Dockerizing applications
The hello world example
Interactive container
Daemonizing programs
Container usage
Running a webapp in a container
Investigating a container
Port mapping
Viewing the logs
Looking at processes
Stopping and restarting
Removing a container
Managing images
Listing images
Downloading images
Finding images
Networking of containers
Port mapping details
Container linking and naming
Linking and environment variables
Data in containers
Data volumes
Host directories as data volume
Host file as data volume
Data volume containers
Backup, restore of data volumes
Contributing to the ecosystem
What is Docker Hub?
Registering on Docker Hub
Command line login
Uploading to Docker Hub
Private repositories
Automated builds
Kubernetes introduction
Pods
Labels and Selectors
Controllers
Services
Architecture and the Kubernetes Node
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