14 EC2 instances are running below 15% CPU utilization. Downgrading from m5.xlarge to m5.large would maintain performance while cutting costs significantly.

8 EC2 instances have been running continuously for 6+ months. Converting to 1-year Reserved Instances would save up to 40% on these workloads.

3 S3 buckets contain data with unpredictable access patterns. Enabling Intelligent-Tiering would automatically move objects to the most cost-effective tier.

3 RDS instances (dev and staging) are running 24/7 but only used during business hours. Schedule auto stop/start to save during nights and weekends.

Current flat-rate BigQuery reservation is underutilized during off-hours. Switch to on-demand pricing for dev/staging or use autoscaling slots.

22 EBS volumes (totaling 4.4TB) are not attached to any running instance. Snapshot and delete them to eliminate unnecessary storage costs.

5 Azure VMs running non-critical workloads could be migrated to burstable B-series instances, which cost significantly less for intermittent workloads.

12 Lambda functions are over-provisioned with 1024MB memory but only use ~200MB. Right-sizing memory allocation improves cost-efficiency.