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12 august 2019

Continuous Delivery Pipeline using Docker and Docker Cloud

Shanghai | Posted: 14 january 2019, number: 12949
#12949

Continuous Delivery Pipeline using Docker and Docker Cloud

14 january 2019 266
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Address: 1199 panyu rd, building 8, Xuhui distr., Shanghai 番禺路1199弄8号, show map

Address: 1199 panyu rd, building 8, Xuhui distr., Shanghai 番禺路1199弄8号,

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  • Date: 19/01/2019 
  • Time: 15:00-17:00 

Description

Building and releasing continuously server-side code that works on any type of cloud instance does not have to be difficult.

Join us as we explain how we use Docker, Docker Cloud integrated with Github to release and test server code continuously.


AGENDA

-Creating a Docker-file for your project

-Triggering builds from source code changes

-Deploying new containers continuously

-Best practices to manage your containers


REQUIREMENTS


A working laptop with Linux, Windows or Mac OS X

Familiarity with the command-line (shell)

Docker Desktop installed

A “https://cloud.docker.com” account

A “http://github.com” account


ABOUT THE SPEAKER


Ricky Ng-Adam (伍思力) is the founder of Coderbunker, an international community of software developers, and co-founder of Xinchejian, the first Hackerspace in China.

Ricky’s track record of almost 20 years as a software engineer includes working for Google, founding his own robotics company and many other tech projects.

He has also worked as a tech consultant for many different startup companies, including Lophilo, Letsface, Tradesparq, The Carevoice, EIC, Agora Space and Cloverise.


ABOUT CO-LEARNING


Co-Learning is cooperative learning (co-learning) sessions in a work environment where participants are following advanced facilitators, self-paced online curriculum and helping each other succeed. We create a good environment for learning with peers, offer opportunities to apply skills to real projects and coach new developers to use industry standard practices.


PROGRAMS

• Learn front and back-end development through FreeCodeCamp

• Learn data science through DataCamp

• Learn DevOps best practice through AWS Training

• Become a full stack web developer

• Become a data engineer or scientist

• Become a certified AWS expert

• Collaborate on Open Source Project to reach professional proficiency


Follow these co-learning tracks using high quality and self-paced online courses. For those who completed at least 50% of the learning track, we invite you to join Open Source projects in small teams to experience a professional team workflow. More on projects athttp://github.com/coderbunker

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