Infrastructure as Code: Deploying AWS Cost Optimization Engines with Terraform

说明与用途

使用 Terraform 自动化部署 AWS EBS 清理引擎，实现可重复、可版本化和可扩展的基础设施，取代手动配置 IAM 和 EventBridge。

问题

Manually deploying a Python script to clean idle EBS volumes, configuring IAM roles, and setting up EventBridge schedules via the AWS Management Console does not scale for production.

结果

Deploying the cost optimization engine via Terraform provides reproducible, versioned, and automated infrastructure, eliminating manual console steps and enabling environment isolation.

工作流

• Define deployment variables in variables.tf to support multiple environments.
• Create strict IAM role and least‑privilege policies in iam.tf for Lambda execution.
• Package the Python script into a ZIP archive using data "archive_file" in main.tf.
• Deploy the Lambda function with aws_lambda_function, passing environment variables for retention days.
• Create an EventBridge rule (aws_cloudwatch_event_rule) to trigger weekly at 6:00 PM UTC.
• Link the EventBridge rule to the Lambda function with aws_cloudwatch_event_target.
• Grant EventBridge permission to invoke the Lambda via aws_lambda_permission.
• Store Terraform state remotely in an encrypted S3 bucket with DynamoDB locking.
• Use Terraform workspaces or separate environment folders to isolate dev and prod deployments.

证据

Manually deploying that script, configuring IAM roles, and setting up EventBridge schedules via the AWS Management Console doesn't scale for production.

来源

Everything must be managed as Infrastructure as Code (IaC).

来源

With over 12 years in IT and 6+ years managing scalable AWS infrastructure, I always recommend automating cloud governance architectures from day one.

来源

Store it safely inside an encrypted Amazon S3 bucket configured with state locking via an Amazon DynamoDB table to prevent concurrent updates.

来源