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Practical golden signals for APIs on Kubernetes without inflating the stack

Define metrics, dashboards and realistic response actions for latency, traffic, errors and saturation for HTTP services on Kubernetes

A technical, actionable guide to map golden signals to Prometheus metrics and PromQL, build Grafana panels, create alerts and follow a reproducible troubleshooting flow for Kubernetes APIs without adding unnecessary agents.

Created: April 15, 2026

Published: April 15, 2026

Estimated time45 min

LevelIntermediate

Before you startAccess to a Kubernetes cluster (kubeconfig with read permissions)

PlatformsLinux / Docker

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Docker

Examples to run a local Prometheus instance and test basic queries against an example configuration; useful to reproduce queries outside the cluster.

Docker installeda prometheus.yml example in the working directory

Start a disposable local Prometheus for testing

docker run --rm -p 9090:9090 -v $(pwd)/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus:v2.45.0

Make a simple query to the local Prometheus

curl -g 'http://127.0.0.1:9090/api/v1/query?query=up' | jq

Inspect /metrics of a simple HTTP image

docker run --rm -p 8000:8000 quay.io/prometheus/busybox:latest sh -c "while true; do echo -e 'HTTP/1.1 200 OK\n\nHello' | nc -l -p 8000; done" &
# then: curl -s http://127.0.0.1:8000

Also available inGolden signals prácticos para APIs en Kubernetes sin inflar el stack

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