diff --git a/tfcloud_samples/TFC_Workflow_Readme.md b/tfcloud_samples/TFC_Workflow_Readme.md index 4b1103d..80ed913 100644 --- a/tfcloud_samples/TFC_Workflow_Readme.md +++ b/tfcloud_samples/TFC_Workflow_Readme.md @@ -8,7 +8,7 @@ To handle production and non-production Terraform automation using GitHub Action - Environment-specific Secrets: Store environment-specific secrets (e.g., TF_API_TOKEN, AWS credentials) in GitHub Secrets at the environment level. 2. Workflow Structure - - Split your workflow into reusable parts using jobs and workflow_call events, allowing for code reuse across different environments and scenarios. + - Split our workflow into reusable parts using jobs and workflow_call events, allowing for code reuse across different environments and scenarios. 3. Terraform Workspaces - Utilize Terraform workspaces to manage state files separately for each environment. This isolates state and makes it easier to manage changes across environments. @@ -53,9 +53,9 @@ jobs: - Branch Protection Rules: Implement branch protection rules for the main branch to prevent direct pushes and ensure that changes go through a pull request. 7. Infrastructure as Code (IaC) Scanning - - Integrate IaC Scanning: Use tools like tfsec, checkov, or terrascan in your workflow to automatically scan Terraform code for best practices and security vulnerabilities. + - Integrate IaC Scanning: Use tools like tfsec, checkov, or terrascan in our workflow to automatically scan Terraform code for best practices and security vulnerabilities. -8. Branch naming suggestions +## Branch naming suggestions For managing production and non-production environments in a Git workflow, it's crucial to have a clear and consistent naming convention for branches. Here are some recommended branch names: @@ -63,7 +63,7 @@ For managing production and non-production environments in a Git workflow, it's - **`main` or `master`**: Traditionally, the `main` (or `master`) branch represents the stable production code. All code that is deployed to the production environment should be merged into this branch. ### Non-Production -For non-production environments, you can use a combination of branch names that reflect the environment and the purpose of the changes. Here are some suggestions: +For non-production environments, wecan use a combination of branch names that reflect the environment and the purpose of the changes. Here are some suggestions: - **`develop` or `development`**: This branch serves as an integration branch for features. It's where developers merge their feature branches before the code is released to a staging environment. - **`feature/feature-name`**: Feature branches are used by developers to work on new features or changes. Each feature branch is named after the feature or task (e.g., `feature/add-login`). @@ -77,30 +77,30 @@ For non-production environments, you can use a combination of branch names that - **Clarity**: The branch name should make it clear what is contained in the branch. - **Brevity**: Keep branch names short but descriptive. -By following these conventions, you can maintain a clear and efficient workflow for managing production and non-production code, making it easier for team members to understand the purpose of each branch at a glance. +By following these conventions, wecan maintain a clear and efficient workflow for managing production and non-production code, making it easier for team members to understand the purpose of each branch at a glance. --- ## Conclusion -This strategy ensures that your Terraform automation for production and non-production environments is secure, efficient, and follows best practices. It leverages GitHub's built-in features for environment management, manual approvals, and secret handling, alongside Terraform's capabilities for workspace and state management. +This strategy ensures that our Terraform automation for production and non-production environments is secure, efficient, and follows best practices. It leverages GitHub's built-in features for environment management, manual approvals, and secret handling, alongside Terraform's capabilities for workspace and state management. --- # How to package Terraform Code -To package Terraform code for deployment or distribution, you typically want to bundle your Terraform configuration files (`*.tf`) along with any associated files (e.g., `*.tfvars`, scripts) into a single archive file. This can be useful for versioning, sharing configurations, or deploying through CI/CD pipelines. Here's a step-by-step guide on how to do this, assuming you're working in a Unix-like environment (e.g., Linux, macOS): +To package Terraform code for deployment or distribution, wetypically want to bundle our Terraform configuration files (`*.tf`) along with any associated files (e.g., `*.tfvars`, scripts) into a single archive file. This can be useful for versioning, sharing configurations, or deploying through CI/CD pipelines. Here's a step-by-step guide on how to do this, assuming you're working in a Unix-like environment (e.g., Linux, macOS): -### Step 1: Organize Your Terraform Configuration -Ensure your Terraform configuration files are organized and all necessary files are included in your project directory. This includes: +### Step 1: Organize our Terraform Configuration +Ensure our Terraform configuration files are organized and all necessary files are included in our project directory. This includes: - Terraform configuration files (`*.tf`) - Variable files (`*.tfvars`, if not using environment variables) -- Any scripts or additional files needed for your Terraform configurations +- Any scripts or additional files needed for our Terraform configurations ### Step 2: Write a Script to Package the Configuration -You can write a simple shell script to package your Terraform configuration. This script will: +We can write a simple shell script to package our Terraform configuration. This script will: 1. Clean up any previous builds (optional). -2. Run `terraform init` and `terraform validate` to ensure your configuration is valid. -3. Create a ZIP archive of your Terraform configuration. +2. Run `terraform init` and `terraform validate` to ensure our configuration is valid. +3. Create a ZIP archive of our Terraform configuration. Here's an example script named `package_terraform.sh`: @@ -108,7 +108,7 @@ Here's an example script named `package_terraform.sh`: #!/bin/bash # Define variables -PROJECT_DIR="path/to/your/terraform/configuration" +PROJECT_DIR="path/to/our/terraform/configuration" BUILD_DIR="build" ARCHIVE_NAME="terraform_config.zip" @@ -131,16 +131,16 @@ echo "Terraform configuration package is ready: $BUILD_DIR/$ARCHIVE_NAME" ``` ### Step 3: Execute the Script -Make your script executable and run it: +Make our script executable and run it: ```bash chmod +x package_terraform.sh ./package_terraform.sh ``` -This script will create a ZIP file containing all your Terraform configuration files. You can then use this ZIP file in your CI/CD pipeline, share it with your team, or keep it for versioning purposes. +This script will create a ZIP file containing all our Terraform configuration files. we can then use this ZIP file in our CI/CD pipeline, share it with our team, or keep it for versioning purposes. ### Notes: -- Ensure you do not include any sensitive information (e.g., `terraform.tfstate`, `*.tfvars` with sensitive defaults) in the ZIP file. Use environment variables or CI/CD pipeline secrets to handle sensitive data. -- Adjust the `PROJECT_DIR` and `BUILD_DIR` variables in the script according to your project's directory structure. -- This example uses ZIP for packaging, but you can use other formats (e.g., tar) depending on your needs or environment. \ No newline at end of file +- Ensure we do not include any sensitive information (e.g., `terraform.tfstate`, `*.tfvars` with sensitive defaults) in the ZIP file. Use environment variables or CI/CD pipeline secrets to handle sensitive data. +- Adjust the `PROJECT_DIR` and `BUILD_DIR` variables in the script according to our project's directory structure. +- This example uses ZIP for packaging, but we can use other formats (e.g., tar) depending on our needs or environment. \ No newline at end of file