AWS CloudFormation
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Automating the installation and configuration of Amazon Managed Workflows for Apache Airflow
Jan 26, 2021 | 15 minute read
updated, August 25th Thanks to Philip T for spotting a typo in the cloudformation code below - it is ok in the GitHub repo, but I have fixed it now below. 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 <- this post Part 2 - Working with Permissions 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 1, automating the installation and configuration of Managed Workflows for Apache Airflow (MWAA).
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Amazon Aurora - setting up and configuration, four ways
Oct 15, 2020 | 8 minute read
In this post I want to share four different approaches to installing and configuring your Amazon Aurora database clusters. Everything in this post is covered in detail in the embedded video, but I wanted to share some additional information that I did not include in the video that was easier done in this blog. {% youtube wZfh9PurE9E %} Why four ways? The approach in the video was to look at the journey you might take when learning a new technology and then how you move to productise that technology.