Automating Rightsizing with AI: How DevOps Teams Cut AWS Costs Safely

High AWS bills are often caused by over‑provisioned EC2 and RDS resources that never get revisited. Manual rightsizing and static CPU rules don’t scale and often introduce risk.

Modern DevOps teams are using AI‑driven rightsizing, combining CloudWatch metrics, lightweight ML models, and AWS Lambda to predict real usage patterns and automate safe resizing.

Common focus areas:

• Identifying over‑ and under‑utilized EC2 & RDS instances
• Predicting demand instead of reacting to thresholds
• Applying guardrails for production workloads
• Continuous optimization without performance impact

Is AI‑based rightsizing more reliable than traditional rule‑based approaches in your experience?