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first commit of the infrastructure repo, setting up
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53
infrastructure/terraform/README.md
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infrastructure/terraform/README.md
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# Infrastructure Terraform Repository
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This repository manages the permanent infrastructure behind the assessment model. Key components to this include
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- Database
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- Blob storage (s3 buckets)
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# Terraform AWS Deployment
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This project uses Terraform to create infrastructure in AWS. This README covers the steps necessary to deploy the resources.
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## Prerequisites
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- AWS CLI v2 installed and configured with profiles
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- Terraform v1.2.0 or higher
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## Deploying
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The deployment process can be broken down into the following steps:
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1. Initialization: This downloads the necessary provider plugins for Terraform.
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```bash
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terraform init
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```
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2. Planning: This step creates an execution plan, showing what changes Terraform will make to reach the desired state.
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```bash
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terraform plan -var-file=dev.tfvars
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```
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Note: replace dev.tfvars with your appropriate variables file. For a production deployment, this would be the prod.tfvars file.
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3. Apply: This step applies the desired changes to reach the desired infrastructure state.
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```bash
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terraform apply -var-file=dev.tfvars
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```
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Note: replace dev.tfvars with your appropriate variables file.
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## AWS Profiles
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This project uses AWS profiles for managing different environments. Ensure you have your profiles set up in your AWS credentials file `(~/.aws/credentials)`. Here is a sample:
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```ini
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[DevAdmin]
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aws_access_key_id = YOUR_ACCESS_KEY
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aws_secret_access_key = YOUR_SECRET_KEY
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```
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In the given example, DevAdmin is the profile for the development environment. Replace YOUR_ACCESS_KEY and YOUR_SECRET_KEY with your actual AWS credentials.
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6
infrastructure/terraform/dev.tfvars
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infrastructure/terraform/dev.tfvars
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profile = "DevAdmin"
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# Database
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allocated_storage = 20
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instance_class = "db.t2.micro"
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database_name = "DevAssessmentModelDB"
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infrastructure/terraform/main.tf
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infrastructure/terraform/main.tf
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terraform {
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required_providers {
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aws = {
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source = "hashicorp/aws"
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version = "~> 4.16"
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}
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}
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required_version = ">= 1.2.0"
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}
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provider "aws" {
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profile = var.profile
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region = var.region
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}
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resource "random_password" "password" {
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length = 16
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special = true
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}
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# Check if a secret already exists with this name
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data "aws_secretsmanager_secret" "existing_secret" {
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name = "db_credentials"
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count = "${can(data.aws_secretsmanager_secret.existing_secret.name) ? 1 : 0}"
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}
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# Only create a new secret if one does not already exist
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resource "aws_secretsmanager_secret" "db_credentials" {
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name = "db_credentials"
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count = "${data.aws_secretsmanager_secret.existing_secret.name != "db_credentials" ? 1 : 0}"
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}
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# Only create a new secret version if one does not already exist
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# We can update this approach at a later stage if we wish to rotate the password on a regular basis but because of potental
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# side affects, we make it so that we only create a new secret version if one does not already exist
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resource "aws_secretsmanager_secret_version" "db_credentials" {
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secret_id = aws_secretsmanager_secret.db_credentials[count.index].id
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secret_string = jsonencode({
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username = "your_db_username"
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password = random_password.password.result
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})
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count = "${data.aws_secretsmanager_secret.existing_secret.name != "db_credentials" ? 1 : 0}"
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}
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resource "aws_db_instance" "default" {
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allocated_storage = var.allocated_storage
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engine = "postgres"
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engine_version = "13.3"
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instance_class = var.instance_class
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name = var.database_name
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username = jsondecode(aws_secretsmanager_secret_version.db_credentials.secret_string)["username"]
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password = jsondecode(aws_secretsmanager_secret_version.db_credentials.secret_string)["password"]
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parameter_group_name = "default.postgres13"
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skip_final_snapshot = true
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}
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1
infrastructure/terraform/secrets.tf
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1
infrastructure/terraform/secrets.tf
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# This script contains secrets which for the moment, are being stored in aws secrets manager
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24
infrastructure/terraform/variables.tf
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infrastructure/terraform/variables.tf
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variable "profile" {
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description = "AWS profile to use"
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type = string
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}
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variable "region" {
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description = "AWS region"
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type = string
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}
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variable allocated_storage {
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description = "The allocated storage in gigabytes"
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type = number
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}
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variable instance_class {
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description = "The instance type of the RDS instance"
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type = string
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}
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variable database_name {
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description = "The name of the database to create when the DB instance is created"
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type = string
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}
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