added readme info

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.
@@ -53,17 +53,17 @@ 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:
 
 ### Production
 - **`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`).
@@ -77,38 +77,38 @@ 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`:
 
 ```bash
 #!/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.
+- 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.