Tools: ->> Provisioning an AWS S3 Bucket using HCP Terraform

Tools: ->> Provisioning an AWS S3 Bucket using HCP Terraform

>> Project Objective: ## >> Architecture Overview: ## Step-by-Step Guide to deploy an aws s3 bucket using HCP Terraform ## Prerequisites ## Step 1: Create a GitHub Repository ## Step:2 Write Terraform Configuration ## main.tf ## variables.tf ## Step3: Push Code to Github ## Step 4: Set Up HCP Terraform ## Step 5: Create a VCS-Driven Workspace ## Step:6 Configure Varibales in Workspace ## mark them as sensitive. ## Do NOT hardcode credentials in code. ## Step 7: Trigger the First Run ## Step 8: Review and Apply ## Step 9: Verify in AWS Console ## Congratulations - infrastructure deployed using cloud-based Terraform workflow. ## >> Secure Credential Management: ## Conslusion ## - Production-ready ## >> Connect With Me ## Questions? Drop them in the comments below! 👇 In this blog, I implemented a cloud-based Terraform workflow using HCP Terraform integrated with Github to provision an AWS S3 in a prodcution style setup. The deployment workflow follows this structure: Before starting, make sure you have: Create the following files: Your Terraform code is now version-controlled. Projects help logically group infrastructure. Now your repo is linked to HCP Terraform. Inside the Workspace -> varibales section: Add Environment Variables Add Terraform variables Example: Now go back to GitHub and make a small change (or re-push code). HCP Terraform will automatically: If successful, your S3 bucket will be created in AWS. AWS credentials were added as sensitive environment variables inside the HCP Terraform workspace. Re Github Repo: Github Repo Hashicorp: Hashicorp This project showcases how to provision AWS infrastructure using a cloud-native Terraform workflow powered by HCP Terraform and GitHub. By combining Infrastructure as Code with automated VCS-driven execution, the deployment process becomes: If you enjoyed this post or want to follow my #30DaysOfAWSTerraformChallenge journey, feel free to connect with me here: 💼 LinkedIn: Amit Kushwaha 🐙 GitHub: Amit Kushwaha 📝 Hashnode / Amit Kushwaha 🐦 Twitter/X: Amit Kushwaha Found this helpful? Drop a ❤️ and follow for more AWS and Terraform tutorials! Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to ? It will become hidden in your post, but will still be visible via the comment's permalink. as well , this person and/or COMMAND_BLOCK: Developer -> Github -> HCP -> Terraform -> AWS -> S3 Bucket COMMAND_BLOCK: Developer -> Github -> HCP -> Terraform -> AWS -> S3 Bucket COMMAND_BLOCK: Developer -> Github -> HCP -> Terraform -> AWS -> S3 Bucket COMMAND_BLOCK: git clone https://github.com/your-username/terraform-s3-demo.git cd terraform-s3-demo COMMAND_BLOCK: git clone https://github.com/your-username/terraform-s3-demo.git cd terraform-s3-demo COMMAND_BLOCK: git clone https://github.com/your-username/terraform-s3-demo.git cd terraform-s3-demo CODE_BLOCK: provider "aws" { region = var.region } resource "aws_s3_bucket" "mybucket" { bucket = var.bucket_name tags = { Name = var.bucket_name Environment = var.environment } } CODE_BLOCK: provider "aws" { region = var.region } resource "aws_s3_bucket" "mybucket" { bucket = var.bucket_name tags = { Name = var.bucket_name Environment = var.environment } } CODE_BLOCK: provider "aws" { region = var.region } resource "aws_s3_bucket" "mybucket" { bucket = var.bucket_name tags = { Name = var.bucket_name Environment = var.environment } } CODE_BLOCK: variable "region" {} variable "bucket_name" {} variable "environment" {} CODE_BLOCK: variable "region" {} variable "bucket_name" {} variable "environment" {} CODE_BLOCK: variable "region" {} variable "bucket_name" {} variable "environment" {} COMMAND_BLOCK: git add . git commit -m "Initial S3 bucket Terraform configuration" git push origin main COMMAND_BLOCK: git add . git commit -m "Initial S3 bucket Terraform configuration" git push origin main COMMAND_BLOCK: git add . git commit -m "Initial S3 bucket Terraform configuration" git push origin main CODE_BLOCK: region = ap-south-1 bucket_name = amit-terraform-demo-bucket environment = dev CODE_BLOCK: region = ap-south-1 bucket_name = amit-terraform-demo-bucket environment = dev CODE_BLOCK: region = ap-south-1 bucket_name = amit-terraform-demo-bucket environment = dev - Define AWS infrastructure using Terraform - Store and version control the code in Github - Execute Terraform runs a remotely using HCP Terraform - Implement a VCS- driven automated workflow - Manage state securely in the cloud - Isolate environments using Projects and Workspaces - Write Terraform configuration for S3 bucket. - Push the code to GitHub. - HCP Terraform detects the change. - Automatically runs terraform init and terraform plan. - Review the plan in the UI. - Confirm and apply the changes. - AWS provisions the S3 bucket. - AWS Account - GitHub Account - HCP Terraform Account - Basic knowledge of Terraform syntax - Log in to GitHub. - Create a new repository (e.g., terraform-s3-demo). - Clone it locally: - Log in to HCP Terraform - Create a new Organization - Inside the organization, create a Project - Click Create Workspace - Select Version Control Workflow - Connect your GitHub account - Choose the repository (terraform-s3-demo) - Set working directory (if needed) - Create workspace - AWS_ACCESS_KEY_ID - AWS_SECRET_ACCESS_KEY - Clone the repository - Run terraform init - Run terraform plan - Show execution plan in UI - Review the plan output. - Click Confirm & Apply. - Wait for execution to complete. - Log in to AWS. - Navigate to S3. - Confirm the bucket is created. - No secrets in source code - Secure execution - Production-aligned security practice - Collaborative