← Back to guidesGuide

Control Kubernetes custom metric cardinality before HPA and remote_write lie to you

A practical workflow for exposing useful business metrics without turning Prometheus, autoscaling, and dashboards into a noise factory.

Learn how to design, audit, and roll out Kubernetes custom metric exporters with label budgets, PromQL tests, remote_write guardrails, and HPA validation.

Created: July 25, 2026

Published: July 25, 2026

Estimated time45 min

LevelAdvanced

Before you startRead access to Prometheus and the /api/v1/status/tsdb endpoint.

PlatformsLinux / Docker

WhatsApp X LinkedIn

Docker

Run a local exporter, scrape it with Prometheus, and measure label impact before touching production.

docker composepromtoolcurl

Start local canary

docker compose up -d prometheus custom-metrics-exporter

Probe exporter endpoint

curl -s localhost:9109/metrics | grep -E "checkout_queue_depth|worker_lag_seconds"

Also available inControlar cardinalidad de métricas custom de Kubernetes antes de que HPA y remote_write mientan

Content locked

This guide requires both steps before full content is available.

○Click “Like” on this guide.
○Share on WhatsApp, X, LinkedIn, or copy the link.

Access is automatically unlocked as soon as both steps are completed.