config-patterns 1.0.7

Brings config management best practices for production-ready application.

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Welcome to config_patterns Documentation

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

1. 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.

2. 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.

3. Multi Environment Json: allows you to manage configs for multi-environment deployment application.

4. Multi Environment Config Management - SSM Backend: a production ready solution using AWS Parameter Store as the backend for multi-environment config management.

5. 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