AWS Data Pipeline CI/CD - Dev to Production
About This Architecture
End-to-end CI/CD pipeline for AWS data workloads, orchestrating code commits from GitHub through CodePipeline, CodeBuild, and CodeDeploy across dev and production Glue ETL jobs. Source code triggers automated builds with Docker containerization to ECR, unit and integration tests via CodeBuild and Glue, and quality gates before dev and production deployments. CloudWatch monitoring and SNS alerts provide observability throughout the pipeline, while CloudTrail audits all infrastructure changes for compliance. Fork this diagram to customize deployment stages, add approval workflows, or integrate additional AWS services like Lambda or EventBridge for your data pipeline needs.
People also ask
How do I set up a complete CI/CD pipeline for AWS Glue data jobs with automated testing and multi-environment deployment?
This diagram shows a production-grade CI/CD workflow where GitHub commits trigger AWS CodePipeline, which orchestrates CodeBuild for Docker image builds, unit and integration tests via CodeBuild and Glue Job, and conditional deployments to dev and production environments with CloudWatch monitoring and SNS alerts for observability.
- Domain:
- Devops Cicd
- Audience:
- DevOps engineers and data engineers implementing CI/CD pipelines for AWS data platforms
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