معرفی شرکت ها


bravo1996-1.5


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

A Docker and AWS utility package
ویژگی مقدار
سیستم عامل -
نام فایل bravo1996-1.5
نام bravo1996
نسخه کتابخانه 1.5
نگهدارنده []
ایمیل نگهدارنده []
نویسنده luis bravo
ایمیل نویسنده bravocolladoluis@gmail.com
آدرس صفحه اصلی https://github.com/javatechy/dokr
آدرس اینترنتی https://pypi.org/project/bravo1996/
مجوز -
# 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](https://docs.aws.amazon.com/cli/latest/userguide/installing.html) is installed and credentials are configured on your system. + [ecs-cli](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ECS_CLI_installation.html) 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 ``` ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_ecs_login.png) + Deploy an image on a cluster ``` dokr ecs deploy --cluster cluster_name --service service_name --tag image_version ``` ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_ecs_deploy.png) + 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 ``` ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_ecs_log.png) ## Docker Helper Commands + Prune whole system - Cleans unused images, containers and volumes. ``` dokr dock --clean-all ``` ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_dock_clean_all.png) + Delete all the images matching the pattern ``` dokr dock --clean pattern_xxx ``` ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_dock_clean.png) + Add a tag to the existing image matching the provided pattern (for latest tag only) ``` dokr dock --tag pattern_xxx tag_name ``` ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_dock_tag.png) + Push all images on a system matching a pattern This will push all images matching pattern 'pat' ``` dokr dock --push pat ``` ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_dock_push.png) #### AWS Commands + Check current public ip of a machine on AWS ``` dokr aws --ip jenkins ``` ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_aws_ip.png) #### 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): ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_configure.png) + Add an new app for deployment: ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_configure_app.png) + Run all configured apps: ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_run.png) + Run a particular app from ECR tags: ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_run_app.png) + Run a particular app by providing a tag: ![alt dokr_aws_ip](https://raw.githubusercontent.com/javatechy/dokr/master/screenshots/dokr_run_app_tag.png) ### 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


نیازمندی

مقدار نام
- requests
- click
- configparser


نحوه نصب


نصب پکیج whl bravo1996-1.5:

    pip install bravo1996-1.5.whl


نصب پکیج tar.gz bravo1996-1.5:

    pip install bravo1996-1.5.tar.gz