Analysis shows 23 EC2 instances running at <15% CPU utilization for the past 30 days. Downsize to smaller instance types to optimize costs.
Affected Services: Production Web Servers, Dev Environment, Analytics Cluster
Potential Savings: $3,240/monthData warehouses remain idle for 40% of billable time. Reduce auto-suspend timeout from 10 minutes to 2 minutes.
Affected Resources: ANALYTICS_WH, REPORTING_WH, DEV_WH
Potential Savings: $4,890/monthSwitch non-production Databricks clusters to spot instances with fallback to on-demand. Current workloads are fault-tolerant and suitable for spot.
Affected Clusters: ml-training, data-pipeline, etl-jobs
Potential Savings: $5,120/monthMove 12TB of S3 data accessed less than once per quarter to S3 Glacier for long-term archival.
Affected Buckets: legacy-data, historical-logs, backup-archives
Potential Savings: $2,340/month3 Azure SQL reserved capacity units are underutilized (28% usage). Consider converting to pay-as-you-go or reselling capacity.
Reserved Instances: sql-prod-reserved-01, sql-prod-reserved-02, sql-prod-reserved-03
Potential Savings: $1,890/month| Department | Monthly Budget | Actual Spend | Variance | Budget Utilization |
|---|---|---|---|---|
| Data Engineering | $45,000 | $52,340 | +$7,340 |
116%
|
| Machine Learning | $38,000 | $34,220 | -$3,780 |
90%
|
| Product Development | $28,000 | $24,890 | -$3,110 |
89%
|
| Data Analytics | $22,000 | $19,450 | -$2,550 |
88%
|
| Research & Development | $18,000 | $14,230 | -$3,770 |
79%
|
| Infrastructure | $15,000 | $13,670 | -$1,330 |
91%
|