AWS Glue has evolved into a powerful tool for building scalable ETL solutions, but managing Glue jobs manually can be a pain point.
Using AWS CDK in combination with GitHub and CI/CD workflows has made deploying Glue jobs faster, more reliable, and far less error-prone.
To ensure consistency and collaboration across the team, a structured development workflow is followed integrating tools like Jira for task tracking and integrated with GitHub to map tickets to git branches.
Each component folder contains sub-folders for configuration files and Python-based Glue scripts. AWS CDK stacks are used to define Glue jobs for each component.
Separation of default and custom configurations gives flexibility to manage AWS Glue jobs efficiently.
Using a CI/CD-driven workflow for deploying AWS Glue jobs has significantly improved deployment process and reduces the chances of errors.
Every change is traceable, reviewable and deployed consistently across the environments.
The workflow works well for the author, but the workflows evolve with the project goals and requirements.
All views and opinions expressed in the blog are personal to the author and not necessarily those of the employer.