CI/CD demo using BitBucket pipeline

BitBucket is a Web based version control repository maintenance hosting service owned by Atlassian

for source code that uses Mercurial and Git repositories.

it also integrate easily with other Atlassian products like Jira, HipChat, Confluence and Bamboo.

It seamlessly works with docker to build and launch docker images and run containers.

Bitbucket is mostly used for code, code review and build CI/CD pipelines. Bitbucket supports the following features:

• Pull requests with code review and comments
• Bitbucket Pipelines, a continuous delivery service
• 2 step verification and required two step verification
• IP whitelisting
• Merge Checks
• Code search (Alpha)
• Git Large File Storage (LFS)
• Documentation, including automatically rendered README files in a variety of Markdown-like file formats
• Issue tracking
• Wikis
• Static sites hosted on Bitbucket Cloud: Static websites have the bitbucket.io domain in their URL
• Add-ons and integrations
• REST APIs to build third party applications which can use any development language
• Snippets that allow developers to share code segments or files
• Smart Mirroring

Steps involved in new repository setup

1. Create Project

2. Create a New Repository

3. edit the bitbucket-pipelines.yml file to create the pipeline

sample pipeline steps

image: python:3.7.3 // required Docker Images

pipelines: //add all pipelines

default: // default or first pipeline to run

- step:

name: development

deployment: dev

caches: // caches is used to, chach multiple dependencies to save time in downloading the dependencies for subsequent builds

- pip

script: # Modify the commands below to build your repository.

- echo "pip dev"

- pip install -r requirements.txt

- step:

name: production

deployment: prod

trigger: manual //trigger = manual will enable user to promote the code to next step in the pipeline

caches:

- pip

script: # Modify the commands below to build your repository.

- echo "pip prod"

- pip install -r requirements.txt

sample pipeline screen looks like this.

sample deployment screen looks like this.