Grafana Cost Optimization
OhChimp reads your Grafana stack and cuts cost from high-cardinality Prometheus metrics, custom metrics, and Loki log ingestion. Verified on your bill.
What OhChimp optimizes for Grafana
Some of the cost levers OhChimp checks for Grafana. Each one becomes a reviewable plan you approve before anything changes.
High-cardinality Prometheus metrics
OhChimp reads your TSDB status and ranks the metrics burning the most active series. It flags the ones past 10,000 series, shows each one's share of your total series count, and estimates the monthly cost of the whole stack. Then it writes a plan to drop the high-cardinality labels or fold them into recording rules.
Exploding metric labels
A single label with thousands of unique values multiplies storage and query cost across every metric that carries it. OhChimp finds the worst label offenders, skips the structural ones like le and quantile, and proposes bucketing the values down.
Custom and redundant metrics
Custom metrics keep getting scraped, and metric families sprawl into many near-identical variants. OhChimp separates standard, internal, and custom metrics, surfaces the custom names and the variant-heavy groups, and gives you a shortlist to review for ones you can stop collecting.
Loki log ingestion volume
You pay per gigabyte to ingest logs, and the bytes pile up fast. OhChimp reads your Loki index stats over a window and reports total bytes, stream count, entry count, and an estimated monthly ingestion cost, so you can see how much your logging is actually costing.
CPU and memory hotspots in code
OhChimp pulls Pyroscope CPU and memory profiles and ranks functions by self time. It tells you which function accounts for what share of the burn, so you can fix the hot path that is paying for extra compute.
Slow services in trace data
OhChimp reads Tempo traces and computes p50, p95, and p99 latency per service, plus the error traces behind them. That shows you which services are slow enough to be worth optimizing before they cost you more compute.
Grafana cost optimization FAQ
How does OhChimp connect to Grafana?
With a read-only Grafana service-account token, your Grafana URL, and an optional org ID. OhChimp lists your datasources and reads metrics, logs, traces, and profiles through the Grafana datasource proxy. It never stores application data, secrets, or workload contents.
Does OhChimp need write access or see my log and trace contents?
No write access. The token is scoped to read-only telemetry analysis. OhChimp reads aggregate stats like series counts, label cardinality, log ingestion bytes, profile hotspots, and trace latency. It does not store your application data, secrets, or workload contents.
What Grafana costs can OhChimp actually reduce?
The big ones are high-cardinality Prometheus metrics and labels, custom or redundant metrics, and Loki log ingestion volume. It also reads Pyroscope profiles for CPU and memory hotspots and Tempo traces for slow services, which point to code that is paying for extra compute.
Who applies the changes, and can I roll back?
You do. Every fix is a reviewable plan with a confidence score, a risk level, and rollback steps. Nothing changes until you click apply, and you are always the one who clicks.
How are savings verified, and what does it cost?
OhChimp checks your real bill after you apply a plan. Savings are marked VERIFIED only after 7 or more days, a drop of at least 10 percent, and 3 consecutive positive checks. Otherwise the plan stays flagged not implemented. Pricing is a flat monthly fee with no cut of your savings, plus a year-one ROI guarantee: a full refund of subscription fees if it does not pay for itself in your first 12 months on a paid plan.
Related integrations
Teams running Grafana usually run these too. OhChimp finds the waste in each and proves it on the bill.
New Relic
Data ingest, user seats, and retention
Datadog
Custom metrics, log retention, and host count
PostHog
Event volume, retention, and feature usage