for source code that uses Mercurial and Git repositories.
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.
