AWS RDS IOPS Overprovision Slasher
$3,630.00 in monthly AWS database storage overcharges eliminated across across 3 items.
p99 actual IOPS is 3,200 vs 20,000 provisioned on io2 ($2,140.00). gp3 migration reduces cost to $600.00, saving $1,540.00/mo.
Method1Benchmarked CloudWatch p99 Read/Write IOPS against gp3 baseline capabilities.
2Generated Terraform AWS provider patch for zero-downtime online storage conversion.
| Reference | Description | Monthly_Savings |
|---|---|---|
| io2 | Primary DB io2 to gp3 Downgrade | $1,540.00 |
| prod-mysql-replica-1 | Read Replica io1 to gp3 Downgrade | $1,170.00 |
| staging-postgres-db | Staging DB io1 Storage Elimination | $920.00 |
AWS CloudWatch RDS IOPS utilization metrics and AWS CUR storage charges, plus RDS gp3 migration parameters
Terraform RDS storage modification plan and immediate monthly cloud infrastructure cost savings (Resolution Dossier, Findings Schedule)
Run AWS RDS IOPS Overprovision Slasher free on the last 12 months of files. If it finds money, the fee is 15 percent of what is actually recovered, nothing on what is not. After that, ongoing monitoring is $1,250 a month. 30% goes to the referring partner.
Read in memory for the session, never stored, never used to train a model.
Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.
Free scan. Pay only on cash recovered.
Run AWS RDS IOPS Overprovision Slasher free on the last 12 months of files. If it finds money, the fee is 15 percent of what is actually recovered, nothing on what is not. After that, ongoing monitoring is $1,250 a month.
On a sample file: $3,630.00 in monthly AWS database storage overcharges eliminated across across 3 items.
Why not just use ChatGPT?
Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.
Get a free scan
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.