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DEVOPS Exercise Statement 1 Backend with Two Endpoints PLAN 1. Going to Setup a Python project with Flask by: * Creating Flask webframework to /populate and /delete endpoints. * Use SQLAlchemy for ORM with PostgreSQL. * The /populate endpoint will generates random data and inserts it into the database. * The /delete endpoint will deletes all data from the database. EXERCISE: COMPLETED TESTED: YES 2. Dockerize the Backend * Create a Dockerfile and Docker-compose that sets up a Python environment, installs dependencies, and runs the backend application. * Use a multi-stage build for smaller image size if possible. EXERCISE: COMPLETED TESTED: YES 3. GitHub CI for Docker Image * Setted up GitHub Actions workflow in ".github/workflow/docker-image.yml" directory to build Docker image when triggered by push towards "DEVOPS_Exercise_Statement_1" branch EXERCISE: COMPLETED TESTED: YES 4. Helm Chart for Deployment * Created a Helm chart that includes: * Deployment for the backend application. * A PostgreSQL database deployment , including PVCs for data persistence. * Configured to initialize the database schema on first run. * A deployment for a web-based PostgreSQL UI (e.g., PGAdmin) accessible securely. * Included values.yaml for customizable deployment options. EXERCISE: COMPLETED TESTED: YES 5. Not related to previous exercise: a. Share some terraform code and/or module that is using the AWS provider that was developed by you. EXERCISE: COMPLETED TESTED: YES DEVOPS Exercise Statement 2 Infrastructure as Code (IaC) Using Terraform 1. Terraform Setup for AWS Resources * Defined a Python script that generates a file with random data. * Used AWS Lambda to run this script, packaging the Python script within the Lambda deployment package. * Trigger the Lambda function through AWS API Gateway, set up with a custom domain. * Configured the S3 bucket in a separate AWS account, handling cross-account permissions correctly for Lambda to write to it. EXERCISE: COMPLETED TESTED: UNTESTED 2. GitHub Actions for Deployment * CreateD a CI/CD pipeline using GitHub Actions to deploy the Terraform code. * EnsurIng the pipeline includes steps for Terraform initialization, validation, plan, and apply. * Used secrets for sensitive information like AWS credentials. * pipeline is located".github/workflow/terraform-action.yml" directory and its triggered when push to "DEVOPS_Exercise_Statement_2" branch EXERCISE: COMPLETED TESTED: ON LOCAL ENVIRONMENT Helm Charts Sharing * Provide examples of Helm charts you've developed, showcasing how you structure charts, manage dependencies, configure templates, and utilize values for deployment customization. EXERCISE: CLASSIFIED UNABLE TO SHARE TESTED: CLASSIFIED UNABLE TO SHARE
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