AWS Glue enables organizations to make data-driven business decisions by providing seamless integration throughout the development lifecycle, many customers have integrated their data across multiple sources using AWS Glue.
AWS Glue Studio visual jobs provide a graphical interface called the visual editor that you can use to author extract, transform, and load (ETL) jobs in AWS Glue visually.
To address the needs of a streamlined development lifecycle and seamless synchronization between environments, an end-to-end solution is presented, combining the power of the AWS Glue Visual Job API, a custom AWS Glue Resource Sync Utility, and an based continuous integration and continuous deployment (CI/CD) pipeline.
The AWS Glue Resource Sync Utility is a Python application developed on top of the AWS Glue Visual Job API, designed to synchronize AWS Glue Studio visual jobs across different accounts without losing the visual representation.
The solution uses three separate AWS accounts. One account is designated for the development environment, another for the production environment, and a third to host the CI/CD infrastructure and pipeline.
The AWS account responsible for hosting the CI/CD pipeline is composed of three key components: Managing AWS Glue Job updates, Cross-Account Access Management, and Version Control Integration.
You can create AWS Glue Studio visual jobs using the intuitive visual editor in your development account.
By serializing AWS Glue Studio visual jobs to JSON files and committing them to a Git repository, you enable version control for your data integration workflows.
By following this approach you can track changes, collaborate with team members, and easily deploy jobs to other accounts or environments.
This solution empowers data engineers to focus on building robust data integration pipelines while automating the complexities of managing and deploying AWS Glue Studio visual jobs across multiple environments.