PlanetScale Cost Optimization
Cut your PlanetScale bill: OhChimp finds idle dev branches, sleeping databases, and oversized clusters, then verifies the savings on your real invoice.
What OhChimp optimizes for PlanetScale
Some of the cost levers OhChimp checks for PlanetScale. Each one becomes a reviewable plan you approve before anything changes.
Idle development branches
Development branches bill per branch-hour on paid plans, so a branch nobody has touched in weeks is pure waste. OhChimp lists each database's branches and flags non-production ones with no update in over 14 days, sorted by how long they've gone stale. The plan deletes the abandoned branch and leaves your production branch untouched.
Sleeping databases
A sleeping database keeps your data but serves no traffic, and it can still carry retention cost. OhChimp lists every database in a sleeping, sleep-in-progress, or awakening state so you can confirm it's still needed. The plan deletes the ones that aren't.
Production cluster-size right-sizing
Each production branch runs a cluster size (PS-10, PS-20, PS-40) with a published monthly list price. OhChimp tallies your production cluster sizes and attaches those list prices as an upper bound on the compute portion of your bill. That lets you spot clusters sized larger than the workload warrants.
Plan and region sprawl
Databases drift across plans and regions, and the spread is hard to see from the billing page. OhChimp groups your whole organization by plan, by kind, and by region. Duplicate or stranded databases in regions you no longer serve stand out for consolidation.
Invoice cross-check
PlanetScale doesn't expose per-resource spend through its API, so inventory findings are list-price bounds rather than your exact bill. When the token carries read_invoices, OhChimp reads your latest invoice total straight from the invoices API. That gives every plan a real dollar baseline to measure savings against.
PlanetScale cost optimization FAQ
How does OhChimp connect to PlanetScale?
With a read-only PlanetScale service token using the composite service_token_id:service_token authorization header (PlanetScale service tokens are not Bearer tokens). Scope it to read_organization and read_databases for inventory, and optionally read_invoices to surface your latest invoice total.
Does OhChimp need write access or see my data?
No. The service token is read-only. OhChimp reads inventory metadata only: your databases by plan, cluster size, and region, your branches and their update timestamps, and (if granted) your latest invoice total. It never stores your application data, secrets, or table contents.
What PlanetScale costs can OhChimp actually reduce?
Idle development branches that keep billing per branch-hour, sleeping databases carrying retention cost, oversized production clusters (PS-10, PS-20, PS-40), and plan or region sprawl across your organization. PlanetScale doesn't expose per-resource spend, so figures are list-price bounds plus your real invoice total as the baseline.
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. Deleting a development branch leaves the production branch untouched.
How are PlanetScale savings verified, and how is OhChimp priced?
Against your real PlanetScale invoice. A plan is marked VERIFIED only after the bill drops 10% or more, holds for at least 7 days, and passes 3 consecutive positive checks. Until then it stays flagged not implemented. Pricing is a flat monthly fee, and OhChimp never takes a cut of your savings. Paid plans come with a year-one ROI guarantee: a full refund of subscription fees if it doesn't pay for itself in the first 12 months.
Related integrations
Teams running PlanetScale usually run these too. OhChimp finds the waste in each and proves it on the bill.
Databricks
Cluster sizing, idle DBUs, query cost
Confluent
Cluster sizing, throughput, and storage
Snowflake
Warehouse sizing, idle credits, query cost