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CI/CD Pipeline with Docker
Project ID - 2, Team ID - 13
Problem Statement
Current CI/CD solutions follow multi-tiered environments approach -
development, test, staging and production.
Each of these environments are managed independently of each other.
Hence, each of these environments may have different configurations
different library versions or even different Operating Systems.
This leads to the popular problem known as “it works on my machine”
syndrome where an application that works on one environment stops
working on some other due to the above mentioned problem
Problems with the current CI/CD systems
Difficulty supporting diverse language stacks and tooling
Slow provisioning and setup of build and test environments
Low throughput of jobs and software shipped to stage or production
Inconsistencies between environments
Solution using docker
A docker based solution has the following advantages over the traditional
ways:
● Eliminate system and language conflicts by isolating in containers
Run more jobs faster
Ship more software
Standardized yet flexible environment
Overview
The basic idea for the project is to try to create a build system which will use
Docker for implementing continuous integration (CI) / Continuous
Deployment Pipeline.
A git based commit should be used for starting of a build for a docker image
which would then be run and provisioned in a Virtual Machine. ​
After every commit a series of test cases is then run on the code to ensure
the correctness of the code.
After all the test-cases pass, the image gets updated on docker-hub registry,
and a VM gets provisioned which can then run the software directly (after
pulling the image from the docker-hub).
Approach
Use a docker based solution for this problem of ensuring fast continuous
delivery and deployment.
The use of docker based approach eliminates the system and language
conflicts by isolating the things in a containers.
The use of container will ensure a smooth integrated environment
throughout. It will also make the process more streamlined and faster.
For every push a webhook will notify of the changes in the code. For every
such notification the DockerFile and the code will be pulled and a docker
image will be build.
Tests will be run on the slave nodes and if all the test-cases pass, then a VM
Workflow
Implementation
Commit Message
Post - Commit
Success Notification
Failure Notification
Timeline of the containers (and their status)
Before pushing updated image
Image getting pushed to Docker-hub successfully
After Pushing the updated image (demo_build)

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CI/CD Pipeline with Docker

  • 1. CI/CD Pipeline with Docker Project ID - 2, Team ID - 13
  • 2. Problem Statement Current CI/CD solutions follow multi-tiered environments approach - development, test, staging and production. Each of these environments are managed independently of each other. Hence, each of these environments may have different configurations different library versions or even different Operating Systems. This leads to the popular problem known as “it works on my machine” syndrome where an application that works on one environment stops working on some other due to the above mentioned problem
  • 3. Problems with the current CI/CD systems Difficulty supporting diverse language stacks and tooling Slow provisioning and setup of build and test environments Low throughput of jobs and software shipped to stage or production Inconsistencies between environments
  • 4. Solution using docker A docker based solution has the following advantages over the traditional ways: ● Eliminate system and language conflicts by isolating in containers Run more jobs faster Ship more software Standardized yet flexible environment
  • 5. Overview The basic idea for the project is to try to create a build system which will use Docker for implementing continuous integration (CI) / Continuous Deployment Pipeline. A git based commit should be used for starting of a build for a docker image which would then be run and provisioned in a Virtual Machine. ​ After every commit a series of test cases is then run on the code to ensure the correctness of the code. After all the test-cases pass, the image gets updated on docker-hub registry, and a VM gets provisioned which can then run the software directly (after pulling the image from the docker-hub).
  • 6. Approach Use a docker based solution for this problem of ensuring fast continuous delivery and deployment. The use of docker based approach eliminates the system and language conflicts by isolating the things in a containers. The use of container will ensure a smooth integrated environment throughout. It will also make the process more streamlined and faster. For every push a webhook will notify of the changes in the code. For every such notification the DockerFile and the code will be pulled and a docker image will be build. Tests will be run on the slave nodes and if all the test-cases pass, then a VM
  • 13. Timeline of the containers (and their status)
  • 15. Image getting pushed to Docker-hub successfully
  • 16. After Pushing the updated image (demo_build)