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In today’s fast-paced development environment, continuous integration and continuous deployment (CI/CD) are essential to streamline and automate code delivery. At Peritos Solutions, we implemented CI/CD pipelines to automate the deployment of our AWS data platform resources, ensuring faster deployments, improved consistency, and reduced errors. In this post, we’ll walk through our approach to setting up CI/CD pipelines for deploying AWS Glue jobs, Lambda functions, and Step Functions using git and AWS CodePipeline.
Automated CI/CD pipelines provide several benefits for data platform deployments:
We structured our CI/CD pipelines to handle three primary components of the data platform:
Our pipeline setup in AWS CodeBuild, integrated with git as the source provider, manages different resources across various environments.
Each pipeline monitors specific folders in the repository and deploys code changes to AWS environments automatically.
Step-by-Step Guide to Setting Up CI/CD Pipelines for AWS Data Platform
Github or Bitbucket can be used as the source provider for version control, storing application code:
Using repository’s branching strategy, we maintain separate branches for development, staging, and production environments. Commits to specific branches trigger the associated CodePipeline deployment.
AWS CodePipeline automates the deployment of code changes from repository to AWS services. Here’s a breakdown of how we set up each pipeline stage:
AWS CodeBuild is responsible for building and packaging code, ensuring it’s ready for deployment in the AWS environment. Here’s how we set up CodeBuild for each component:
Each CodeBuild project is associated with a specific source, thus providing a clear separation between different sources, ensuring smooth integration and triggering.
IAM roles with least-privilege permissions are assigned to each CodePipeline and CodeBuild project to allow access only to necessary AWS resources:
This setup enforces security by ensuring that each pipeline only has access to the resources it requires, adhering to the principle of least privilege.
Monitoring and Logging Pipeline Activities
To monitor and troubleshoot our pipelines, we rely on:
If a build or deployment fails, notifications are configured to alert the team, ensuring rapid response to resolve any issues.
Best Practices for Implementing CI/CD Pipelines on AWS
Conclusion
CI/CD pipelines have transformed how we deploy our data platform resources, enabling automated, efficient, and reliable deployments. By integrating Repository and AWS CodePipeline with Lambda, Glue, and Step Functions, we’ve created a streamlined deployment process that reduces manual intervention and ensures code consistency across environments.
At Peritos Solutions, we’re committed to helping organizations unlock the full potential of cloud-native data platforms. If you’re interested in automating your data workflows and deployments, reach out to us to learn how we can support your cloud transformation journey.
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