What is docker continuous integration

In docker, continuous integration refers to continuously integrating all the codes submitted to the repository after each submission, and compiling and checking for errors; frequently integrating the code into the trunk can quickly detect errors and prevent Branches deviate significantly from the trunk.

The operating environment of this tutorial: linux7.3 system, docker-1.13.1 version, Dell G3 computer.

What is docker continuous integration

1. Background

Docker is an open source application container engine that integrates applications and applications in the form of containers. Its dependencies are packaged together to ensure that the application runs seamlessly across people and environments.

Continuous integration is to continuously build on all the code submitted to the repository after each submission, and compile and check for errors.

2. Problems solved

Since different machines have different operating systems, as well as different libraries and components, deploying an application to multiple machines requires Perform a large number of environment configuration operations. Docker mainly solves environment configuration problems. It is a virtualization technology that isolates processes. The isolated processes are independent of the host system and other isolated processes. Using Docker, existing applications can be deployed on other machines without modifying the application code and without requiring developers to learn the technology of a specific environment.

Continuous integration refers to integrating code into the trunk frequently (multiple times a day).

It has two main benefits:

Quickly detect errors. Every time an update is completed, it is integrated into the backbone. Errors can be quickly discovered and it is easier to locate errors.

Prevent branches from deviating significantly from the trunk. If integration is not frequent and the backbone is constantly being updated, it will become more difficult or even difficult to integrate in the future.

Recommended learning: "docker video tutorial"

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