Description:

configpatterns 1.0.7

Welcome to config_patterns Documentation

config_patterns is a Python library that brings config management best practices for production-ready application.

Hierarchy Json Pattern for Config Management: allows you to define a hierarchy structure of your config data model, and inherit global config values if a specific config value is not defined.
Separate and Merge Non-Sensitive Data and Secret Data: allows you to manage non-sensitive config data and sensitive config data separately and merge them together.
Multi Environment Json: allows you to manage configs for multi-environment deployment application.
Multi Environment Config Management - SSM Backend: a production ready solution using AWS Parameter Store as the backend for multi-environment config management.
Multi Environment Config Management - S3 Backend: a production ready solution using AWS S3 as the backend for multi-environment config management.


Install
config_patterns is released on PyPI, so all you need is:
$ pip install config_patterns
To upgrade to latest version:
$ pip install --upgrade config_patterns

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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