Jan 27, 2021 | 10 minute read
Part of a series of posts to support an up-coming online event, the Innovate AI/ML on February 24th, from 9:00am GMT - you can sign up here Part 1 - Installation and configuration of Managed Workflows for Apache Airflow Part 2 - Working with Permissions <- this post Part 3 - Accessing Amazon Managed Workflows for Apache Airflow environments Part 4 - Interacting with Amazon Managed Workflows for Apache Airflow via the command line Part 5 - A simple CI/CD system for your development workflow Part 6 - Monitoring and logging Part 7 - Automating a simple AI/ML pipeline with Apache Airflow In this post I will be covering Part 2, how to ensure that you control access to Apache Airflow following best practices such as default no access/least privilege.