Damian is a Cloud Advocate specializing in DevOps and MLOps. After spending a year in Toronto, Canada, he returned to Australia - the land of the dangerous creatures and beautiful beaches - in 2018.
Formerly a dev at Octopus Deploy and a Microsoft MVP, he has a background in software development and consulting in a broad range of industries. In Australia, he co-organised the Brisbane .Net User Group, and launched the now annual DDD Brisbane conference. He regularly speaks at conferences, User Groups, and other events around the world.
Most of the time you'll find him talking to software engineers, IT pros and managers to help them get the most out of their DevOps strategies.
In episode 2 of this series, Jay helped Abel migrate the Mercury Health application environment into Azure. So we're in the cloud! But what about future changes? How do we get them out to customers? The answer is DevOps!
The Azure DevOps Demo Generator is a fantastic tool that can help you provision Azure DevOps projects complete with sample data or a starting point for a new project. I recently sat down with Nagaraj Bhairaji from the team that built the tool.
Azure Machine Learning is the ideal product to help you mature your machine learning process with MLOps. Even better, it integrates very easily with GitHub Actions, enabling you to train your models automatically when your code changes.