Recently, AWS CodeBuild introduced support for managed GitLab self-hosted runners towards advancement in continuous integration and continuous delivery (CI/CD) capabilities. This new feature allows customers to configure their CodeBuild projects to receive and execute GitLab CI/CD job events directly on CodeBuild's ephemeral hosts.
The integration offers several key benefits, including Native AWS Integration, Compute Flexibility, and Global Availability. GitLab jobs can now seamlessly integrate with AWS services, leveraging features such as IAM, AWS Secrets Manager, AWS CloudTrail, and Amazon VPC. This integration enhances security and convenience for users.
Furthermore, customers gain access to all compute platforms offered by CodeBuild, including Lambda functions, GPU-enhanced instances, and Arm-based instances. This flexibility allows for optimized resource allocation based on specific job requirements. The integration is available in all regions where CodeBuild is offered.
To implement this feature, users must set up webhooks in their CodeBuild projects and update their GitLab CI YAML files to utilize self-managed runners hosted on CodeBuild machines.
The setup process involves connecting CodeBuild to GitLab using OAuth, which requires additional permissions such as create_runner and manage_runner.
It's important to note that CodeBuild will only process GitLab CI/CD pipeline job events if a webhook has filter groups containing the WORKFLOW_JOB_QUEUED event filter. The buildspec in CodeBuild projects will be ignored unless buildspec-override:true is added as a label, as CodeBuild overrides it to set up the self-managed runner.
When a GitLab CI/CD pipeline run occurs, CodeBuild receives the job events through the webhook and starts a build to run an ephemeral GitLab runner for each job in the pipeline. Once the job is completed, the runner and associated build process are immediately terminated.
As a side, GitLab has been in the news since earlier this year as they planned to introduce CI Steps, which are reusable and composable pieces of a job that can be referenced in pipeline configurations. These steps will be integrated into the CI/CD Catalog, allowing users to publish, unpublish, search, and consume steps similarly to how they use components.
Moreover, GitLab is working on providing users with better visibility into component usage across various project pipelines. This will help users identify outdated versions and take prompt corrective actions, promoting better version control and project alignment.
AWS CodeBuild has also been in the news, as they added support for Mac Builds. Engineers can build artifacts on managed Apple M2 instances that run on macOS 14 Sonoma. A few weeks ago, AWS CodeBuild enabled customers to configure automatic retries for their builds, reducing manual intervention upon build failures. They have also added support for building Windows docker images in reserved fleets.
Such developments demonstrate the ongoing evolution of CI/CD tools and practices, focusing on improving integration, flexibility, and ease of use for DevOps teams.
