Authorization plays a vital role in building secure and robust applications, ensuring that users possess the necessary permissions to access resources or perform particular actions.
In Python, developers often follow authorization anti-patterns that can potentially lead to security vulnerabilities, needless code complexity, and significant maintenance difficulties. This article examines various best practices to avoid these anti-patterns and provides strategies to implement more effective authorization in your Python applications.
Recommended practices for all elements of automation using Ansible, starting with collections and roles, continuing with playbooks, inventories and plug-ins... These good practices are planned to be used by all Red Hat teams interested but can of course be used by others.
Ansible is simple, flexible, and powerful. Like any powerful tool, there are many ways to use it, some better than others.
This document aims to gather good practices from the field of Ansible practitioners at Red Hat, consultants, developers, and others. And thus it strives to give any Red Hat employee, partner or customer (or any Ansible user) a guideline from which to start in good conditions their automation journey.
Those are opinionated guidelines based on the experience of many people. They are not meant to be followed blindly if they don’t fit the reader’s specific use case, organization or needs; there is a reason why they are called good and not best practices.
The reader of this document is expected to have working practice of Ansible. If they are new to Ansible, the Getting started section of the official Ansible documentation is a better place to start.
