Oracle Cloud Cost Optimization
OhChimp reads your real Oracle Cloud bill, breaks spend down by service and compartment, and flags cost spikes. Flat pricing, never a cut of savings.
What OhChimp optimizes for Oracle Cloud
Some of the cost levers OhChimp checks for Oracle Cloud. Each one becomes a reviewable plan you approve before anything changes.
Spend concentrated by service
OhChimp pulls your real billed cost from the OCI Usage API and sums it per service over the window you pick, ranked highest first. You see which Oracle Cloud services actually drive the bill, so the plan targets the spend that matters.
Cost trapped in compartments
Spend spreads across compartments, and the expensive ones are easy to miss. OhChimp sums billed cost per compartment so you can see where each team or environment is burning money and where to act first.
Month-over-month cost spikes
A service can jump between invoices and nobody notices until the bill lands. OhChimp compares each service against the prior equal-length window and flags the movers that cleared both a dollar floor and a 40% relative jump. A real spike stands out and the noise stays quiet.
New spend that wasn't there before
A service that billed nothing last window and shows real cost this window is new spend worth a look. OhChimp catches services absent from the prior window once they clear the dollar floor, so a freshly provisioned resource surfaces before it compounds.
Monthly run-rate projection
OhChimp projects the analyzed window to a monthly figure using your real billed amounts. Every dollar comes straight from OCI's own cost aggregation, and the projection is the one derived number. You get a grounded read on where the bill is heading, by service and by compartment, before the next invoice.
Worked example
For example, say OhChimp reads your last 30 days from the OCI Usage API and finds Compute spend concentrated in one compartment, plus an Object Storage service whose cost jumped 60% over the prior 30-day window.
It surfaces the per-service breakdown and the month-over-month mover with the real billed dollars (say the storage line went from $900 to $1,440, a $540 jump on real billed numbers), and writes a reviewable plan with a confidence score and rollback steps. You press apply. OhChimp cannot yet measure what a single Oracle Cloud plan saves, so it does not mark one VERIFIED. The projected saving stays an estimate, and when the 30 days of monitoring end the result reads "Inconclusive."
Oracle Cloud cost optimization FAQ
How does OhChimp connect to Oracle Cloud?
With OCI API-signing credentials: your tenancy OCID, user OCID, key fingerprint, private key, and region, plus a user granted read access to usage reports. OhChimp verifies the connection with a read-only identity call that fetches your tenancy, then reads billed cost from the OCI Usage API. It never stores application data, secrets, or workload contents.
Does OhChimp need write access or see my data?
No. OhChimp uses read-only credentials scoped to usage reports and reads cost and usage metadata only. It never stores your application data, secrets, or workload contents, and it cannot change anything in your tenancy on its own.
What Oracle Cloud costs can OhChimp actually reduce?
OhChimp reads your real billed cost from the OCI Usage API and shows where it concentrates by service and by compartment. It flags month-over-month spikes that clear a dollar floor and a 40% relative jump, catches new service spend that wasn't there last window, and projects the window to a monthly run rate. That tells you where to cut.
Who applies the changes, and can they be rolled back?
You do. Each fix is a reviewable plan with a confidence score, a risk level, and rollback steps. Nothing moves until you click apply, and OhChimp applies the matching code and infrastructure changes together. It is never an autopilot.
How are the savings verified, and how is OhChimp priced?
Today Oracle Cloud savings stay estimates. OhChimp cannot yet measure what a single Oracle Cloud plan saves, so it does not mark one VERIFIED, and when the 30 days of monitoring end the result reads "Inconclusive." The only savings OhChimp measures today come from lowering the CPU and memory requests of a Kubernetes Deployment, StatefulSet, or DaemonSet. Pricing is flat monthly, OhChimp never takes a cut of your savings, and paid plans carry a year-one ROI guarantee that lets you request a refund of your first 12 months of subscription fees if the verified savings on your Costs tab fall short of them. Estimated savings do not count.
Related integrations
Teams running Oracle Cloud usually run these too. OhChimp finds the waste in each and drafts every fix as a plan you approve.
Render
Oversized services, idle instances, plan fit
Linode
Oversized instances and idle compute
Vercel
Function invocations, bandwidth, and plan fit