How can we optimize our AWS cloud costs using Infrastructure as Code and automated scaling?

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FinOps is crucial. You can use Terraform to tag every resource with an "Owner" and "CostCenter," which makes tracking easy. For staging, use a Lambda function triggered by EventBridge to shut down instances at 6 PM and start them at 8 AM. Also, look into "Spot Instances" for your non-critical worker nodes; they can save you up to 90% compared to On-Demand prices. Finally, implement an automated tool like Infracost in your CI/CD pipeline so developers can see the cost impact of their infrastructure changes before they hit "merge."

   Answered 2025-10-25 by Susan Garcia

Those are great suggestions. However, how do you handle the "state" of the RDS databases when you shut them down daily to ensure no data is lost or corrupted?

   Answered 2025-10-28 by Thomas Anderson

• Good concern, Thomas. For RDS, we don't "terminate" them; we use the AWS Stop/Start feature. It preserves the storage and settings. For the automated part, the script ensures that the DB is in an 'available' state before stopping. It’s been very stable for our development environments, and the storage costs are negligible compared to the hourly instance running costs we save.

     Commented 2025-10-30 by Barbara Martinez

Don't forget about S3 lifecycle policies! Moving old logs and backups to Glacier can save a ton of money over time without any manual effort.

   Answered 2025-11-02 by Daniel Harris

• Absolutely, Daniel. Storage costs often creep up unnoticed. Combining lifecycle policies with IaC ensures that cost-saving measures are applied consistently across all buckets.

     Commented 2025-11-05 by Susan Garcia