Project workflow/guidelines - CI/CD - describe setup

1. Understand Project Requirements:

Before diving into CI/CD, let's make sure we understand the project requirements thoroughly. We need to extract, transform, and load data from the totesys database into an AWS data lake and warehouse.

2. Set Up Version Control:

First things first, let's make sure we're all on the same page with version control. We'll use Git and GitHub for this. We'll create a repository to store our project code and collaborate effectively. Each of us will work on feature branches and merge changes via pull requests.

3. Write Tests:

We need to ensure the reliability and quality of our codebase. Let's write comprehensive unit tests using pytest or unittest for our Python applications. Additionally, we should include integration tests to validate interactions between different components. Don't forget about security tests using tools like safety and bandit to scan for vulnerabilities.

4. Automate Testing with CI (GitHub Actions):

To automate our testing process, let's set up continuous integration (CI) using GitHub Actions. We'll create workflows that define the steps to run tests whenever we push changes to our repository. This ensures that our codebase remains healthy and functional. We'll also configure GitHub notifications to alert us of CI workflow results.

5. Define Infrastructure as Code (IaC):

We'll use Terraform to define and provision our AWS infrastructure. This includes setting up S3 buckets, Lambda functions, EventBridge rules, and other resources required for our data pipeline. Storing infrastructure as code ensures consistency and reproducibility.

6. Continuous Deployment (CD):

With CI in place, let's focus on continuous deployment (CD). We'll configure our CI/CD pipeline to automatically deploy changes to our AWS environment. This includes deploying Python applications to Lambda, updating infrastructure using Terraform, and ensuring proper error handling and rollback mechanisms.

7. Implement Monitoring and Alerting:

Monitoring and alerting are crucial for maintaining the health of our system. We'll use AWS CloudWatch to monitor logs, metrics, and events. We'll set up alarms to notify us of any anomalies or failures in our data pipeline or infrastructure. This will include notification through Github as well.

8. Document and Collaborate:

As we proceed, let's document our CI/CD pipeline and infrastructure setup. This ensures that all team members have a clear understanding of how everything works. We'll collaborate closely, sharing knowledge and supporting each other throughout the process.

9. Review and Iterate:

Finally, let's continuously review and iterate on our CI/CD pipeline. We'll conduct regular retrospectives to identify areas for improvement and optimize our process further. Our goal is to deliver a robust and efficient data engineering solution.

By following these steps and working together as a team, we'll successfully implement CI/CD for our project, ensuring rapid and reliable delivery of changes to our AWS environment. With GitHub Actions and notifications in place, we'll stay informed and responsive to any changes or issues in our workflow.

millipz / nc-de-deliverance-project