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dokr - Make your docker and ecs tasks easy
A Helper pip package for docker and ECS tasks. This pip package helps you automate your CI/CD pipeline. If your using docker and Amazon ECS for deployments, this tool can be really helpful. This package uses aws cli and ecs cli. Mak
Assumptions:
Assuming python is installed on your system.
Docker is installed on your system
aws-cli is installed and credentials are configured on your system.
ecs-cli is installed on system [For Log Command only]
Install dokr on your system using :
pip install dokr
ECS Options
login into ecs directly (Assuming awscli is installed and configured)
dokr ecs login
Deploy an image on a cluster
dokr ecs deploy --cluster cluster_name --service service_name --tag image_version
Check ecs running logs of a Task - this command will ask for cluster/service and task defination.
Note: Install ecs-cli before running this command from here:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ECS_CLI_installation.html
dokr ecs log
Docker Helper Commands
Prune whole system - Cleans unused images, containers and volumes.
dokr dock --clean-all
Delete all the images matching the pattern
dokr dock --clean pattern_xxx
Add a tag to the existing image matching the provided pattern (for latest tag only)
dokr dock --tag pattern_xxx tag_name
Push all images on a system matching a pattern
This will push all images matching pattern 'pat'
dokr dock --push pat
AWS Commands
Check current public ip of a machine on AWS
dokr aws --ip jenkins
Run Apps (subsitute to docker run command and DockerCompose)
Configure your default values(like docker registry, port mapping, volume mapping etc. that will be same for all apps):
Add an new app for deployment:
Run all configured apps:
Run a particular app from ECR tags:
Run a particular app by providing a tag:
Development:
Clean ununsed: rm -rf build/ dist/ *egg* **.pyc __pycache__
Build package: python setup.py bdist_wheel
deploy package: python -m twine upload dist/*
follow this link for more details https://dzone.com/articles/executable-package-pip-install
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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