Confluent Cost Optimization
Cut your Confluent Cloud bill. OhChimp reads billed spend by product and flags over-provisioned Dedicated clusters and idle connectors.
What OhChimp optimizes for Confluent
Some of the cost levers OhChimp checks for Confluent. Each one becomes a reviewable plan you approve before anything changes.
Billed spend by product
OhChimp pulls your real post-discount costs from the Billing API and splits them by product (KAFKA, CONNECT, KSQL, and the rest) and by resource. You see which clusters and connectors drive the bill, projected to a monthly run-rate, before any fix is proposed.
Over-provisioned Dedicated clusters
Dedicated clusters bill a fixed per-CKU floor that only pays off at sustained high throughput. OhChimp flags any Dedicated cluster whose projected monthly KAFKA spend lands under about $200, then drafts a review note to weigh it against a per-usage Basic or Standard tier. The note asks you to confirm peak throughput and private-link needs first.
Idle managed connectors
A managed connector keeps billing a CONNECT floor even when it moves no data. OhChimp flags connectors that bill for CONNECT while a Kafka cluster they feed sits idle in the same environment, then drafts a note to pause or delete the leftover ones.
Discounts already in effect
OhChimp sums the original amount against the billed amount, so the discount your org already gets is visible in the breakdown. You start from what you actually pay, and the savings math stays grounded in the real invoice.
Worked example
Say OhChimp reads your Billing API and finds one Dedicated cluster projecting to roughly $120/month of KAFKA spend, plus a managed connector billing for CONNECT while a cluster in its environment shows no Kafka throughput all window.
It drafts one plan to review the Dedicated cluster against a cheaper Basic or Standard tier, and another to pause the idle connector. Each plan carries a confidence score, a risk level, and rollback steps. You press apply. OhChimp cannot yet measure what a single Confluent plan saves, so it does not mark one VERIFIED. The saving stays an estimate, and when the 30 days of monitoring end the result reads "Inconclusive."
Confluent cost optimization FAQ
How does OhChimp connect to Confluent Cloud?
With an org-level Cloud API key and secret over HTTP Basic auth, used for read-only billing and inventory access. OhChimp reads your billed costs from the Billing API and lists your environments and Kafka clusters for context. It never stores application data, secrets, message contents, or workload payloads.
Does OhChimp need write access or see my message data?
No. OhChimp uses a read-only org-level Cloud API key and reads billing metadata plus the environment and cluster inventory. It never reads or stores the messages flowing through your topics, your secrets, or workload contents.
What Confluent costs can OhChimp actually reduce?
It reads your real billed spend by product and resource, then flags Dedicated clusters with low projected KAFKA spend that may fit a cheaper Basic or Standard tier, plus managed connectors that bill for CONNECT while their Kafka cluster sits idle. It also surfaces the discount already applied, so the math starts from your real invoice.
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. A tier or connector change always confirms throughput and networking needs first.
How are the savings verified, and what does it cost?
Today Confluent savings stay estimates. OhChimp cannot yet measure what a single Confluent 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 with no cut of your savings, plus 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.
Sizing a Dedicated cluster to its busiest minute, by hand: Confluent Cloud costs: shrink spare Dedicated CKUs.
Related integrations
Teams running Confluent usually run these too. OhChimp finds the waste in each and drafts every fix as a plan you approve.
PlanetScale
Plan tier, row reads, and storage
Snowflake
Warehouse sizing, idle credits, query cost
Databricks
Cluster sizing, idle DBUs, query cost