Ferat Imrak

Used GitHub Actions to run the pipeline and build the Docker image and pushed the Docker images by creating an Amazon ECR private repository. I also securely enabled AWS access and secret keys in GitHub Secrets for use in the pipeline configuration.

I set up the pipeline to automatically trigger builds when code was committed or a pull request was opened for development and staging environments. For production, the pipeline was triggered when a release was created. I implemented branch protection rules to prevent direct pushes to the main branch and required code reviews before merging pull requests. I also created AWS Secrets Manager with Terraform to store sensitive data securely for the application.

I developed a Terraform module for creating monitors, dashboards, and alerts in Datadog. Additionally, I integrated PagerDuty and Slack to notify users of any errors in the monitored services. The Terraform code was dynamic, allowing it to be easily implemented across different environments.

CONTRIBUTIONS
• Created a Kubernetes deployment with a temporary domain name to test the application before the final cutover.
• Coordinated with developers to create a new release and push the application image to ECR.
• Added all necessary environment variables to ensure the application could be tested effectively within the container.
• Encountered issues with obtaining the correct environment variables from developers.
• Conducted multiple tests and communicated frequently with developers via Slack and meetings to clarify requirements and gather necessary information.
• Took a dump file from the existing database instance and imported it into an RDS instance.
• Created a ticket with the database team to obtain the necessary permissions, as write access was required to import the dump file.
• Tested the application extensively with developers and testers after deployment to ensure it ran smoothly.
• Integrated CloudWatch for monitoring and logging application errors.