DigitalOcean Cost Optimization
Cut your DigitalOcean bill. OhChimp finds powered-off droplets, unattached volumes, idle load balancers, and rightsizing wins, then drafts each fix.
What OhChimp optimizes for DigitalOcean
Some of the cost levers OhChimp checks for DigitalOcean. Each one becomes a reviewable plan you approve before anything changes.
Powered-off droplets still billing
A droplet that is powered off keeps charging at its full monthly rate. OhChimp finds every droplet in the off state and drafts a plan to delete it or power it back on, with the exact monthly cost it recovers.
Underutilized droplets to downsize
OhChimp pulls 7 days of CPU metrics for each active droplet over $20 a month. When the average sits below 10%, it flags the droplet for a smaller size and estimates roughly half the monthly cost back, with rollback steps before anything resizes.
Unattached block storage volumes
Block storage volumes bill at $0.10 per GB whether or not a droplet uses them. OhChimp finds volumes with no attached droplet and drafts the cleanup, summing the monthly cost you stop paying for storage nothing reads.
Idle load balancers and old snapshots
A load balancer with no backend droplets still costs about $12 a month, and snapshots older than 90 days keep consuming paid storage. OhChimp finds both and writes a delete plan for the idle balancers and the stale snapshots.
Idle Kubernetes pools and managed databases
OhChimp flags DOKS node pools where the count is pinned to a high minimum (a sign of over-provisioning) and managed databases that are offline or sitting single-node on the smallest size. Each one becomes a review item so you confirm it is still needed before trimming.
Worked example
For example, say OhChimp finds two droplets powered off but still billing, a handful of block storage volumes attached to nothing, and a load balancer with no backends.
It writes a plan to delete or restart the droplets, remove the orphaned volumes, and drop the idle load balancer, each with a confidence score and rollback steps. You press apply. OhChimp cannot yet measure what a single DigitalOcean plan saves, so it does not mark one VERIFIED. The projected saving (say $180/mo) stays an estimate, and when the 30 days of monitoring end the result reads "Inconclusive."
DigitalOcean cost optimization FAQ
How does OhChimp connect to DigitalOcean?
With a read-only DigitalOcean API token. OhChimp verifies it against your account endpoint, then reads resource and billing metadata for droplets, volumes, load balancers, Kubernetes, managed databases, App Platform, snapshots, and the container registry. It never stores application data, secrets, or workload contents.
Does OhChimp need write access or see my data?
No. OhChimp uses the token to read metadata only, such as droplet sizes, volume attachments, CPU metrics, and resource status. It never stores your application data, secrets, or workload contents.
What DigitalOcean costs can OhChimp actually reduce?
Powered-off droplets that still bill, underutilized droplets that can downsize, unattached block storage volumes, idle load balancers, snapshots older than 90 days, and over-provisioned Kubernetes pools or idle managed databases.
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 changes until you click apply, and OhChimp applies the matching code and infrastructure changes together.
How are the savings verified, and what does it cost?
Today DigitalOcean savings stay estimates. OhChimp cannot yet measure what a single DigitalOcean 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 a flat monthly fee, 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.
Why a powered-off droplet keeps billing, and how to retire it: Powered-off DigitalOcean droplets bill full price.
Related integrations
Teams running DigitalOcean usually run these too. OhChimp finds the waste in each and drafts every fix as a plan you approve.
Linode
Oversized instances and idle compute
Azure
Underused VMs, disk tiers, reservation coverage
Oracle Cloud
Idle compute and over-provisioned storage